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Exhibit
Number |
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Description
|
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| | 99.1 | | | |
| | | |
Page
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| | | | | 2 | | | |
| | | | | 57 | | | |
| | | | | 59 | | | |
| | | | | 112 | | | |
| | | | | 126 | | | |
| | | | | 210 | | | |
| | | | | 233 | | | |
| | | | | 240 | | | |
| | | | | 243 | | | |
|
Date of Valuation
|
| |
Fair Value Per
Share |
| |
Discount Rate
|
| |
DLOM
|
| |
Exercise Price of
Share Options Per Share |
| ||||||||||||
| | | | | | | | | | | | | | | | | | | | | |
(US$)
|
| |||
|
June 30, 2022
|
| | | | 2.88 | | | | | | 20% | | | | | | 15% | | | | | | 0.55–1.24 | | |
|
December 31, 2022
|
| | | | 3.42 | | | | | | 20% | | | | | | 13% | | | | | | 0.46–1.24 | | |
|
June 30, 2023
|
| | | | 3.44 | | | | | | 20% | | | | | | 11% | | | | | | N/A | | |
|
December 31, 2023
|
| | | | 3.46 | | | | | | 20% | | | | | | 7% | | | | | | 0.55–1.24 | | |
|
June 30, 2024
|
| | | | 3.47 | | | | | | 20% | | | | | | 4% | | | | | | 1.22 | | |
|
July 26, 2024
|
| | | | 4.82 | | | | | | 20% | | | | | | 4% | | | | | | 0.00–1.22 | | |
|
August 1, 2024
|
| | | | 4.82 | | | | | | 20% | | | | | | 4% | | | | | | 1.22–1.24 | | |
| | | |
For the Year Ended December 31,
|
| |
For the Six Months Ended June 30,
|
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| | | |
2022
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2023
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2024
|
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2024
|
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2025
|
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| | | |
RMB
|
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%
|
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RMB
|
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%
|
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RMB
|
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US$
|
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%
|
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RMB
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%
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RMB
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US$
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%
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| | | |
(in thousands, except for percentages)
|
| |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Revenue | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
|
Product revenue
|
| | | | 337,717 | | | | | | 64.0 | | | | | | 54,190 | | | | | | 13.5 | | | | | | 87,710 | | | | | | 12,244 | | | | | | 24.3 | | | | | | 21,045 | | | | | | 14.0 | | | | | | 69,281 | | | | | | 9,671 | | | | | | 34.7 | | |
|
Service revenue
|
| | | | 189,826 | | | | | | 36.0 | | | | | | 347,654 | | | | | | 86.5 | | | | | | 273,424 | | | | | | 38,168 | | | | | | 75.7 | | | | | | 129,253 | | | | | | 86.0 | | | | | | 130,334 | | | | | | 18,194 | | | | | | 65.3 | | |
|
Total revenue
|
| | | | 527,543 | | | | | | 100.0 | | | | | | 401,844 | | | | | | 100.0 | | | | | | 361,134 | | | | | | 50,412 | | | | | | 100.0 | | | | | | 150,298 | | | | | | 100.0 | | | | | | 199,615 | | | | | | 27,865 | | | | | | 100.0 | | |
| Cost of revenue(1) | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
|
Cost of goods sold
|
| | | | (192,523) | | | | | | (36.5) | | | | | | (34,138) | | | | | | (8.5) | | | | | | (71,716) | | | | | | (10,011) | | | | | | (19.9) | | | | | | (17,157) | | | | | | (11.4) | | | | | | (35,461) | | | | | | (4,950) | | | | | | (17.8) | | |
|
Cost of services
|
| | | | (102,475) | | | | | | (19.4) | | | | | | (184,230) | | | | | | (45.8) | | | | | | (178,703) | | | | | | (24,946) | | | | | | (49.5) | | | | | | (78,352) | | | | | | (52.1) | | | | | | (103,095) | | | | | | (14,392) | | | | | | (51.6) | | |
|
Total cost of revenue
|
| | | | (294,998) | | | | | | (55.9) | | | | | | (218,368) | | | | | | (54.3) | | | | | | (250,419) | | | | | | (34,957) | | | | | | (69.3) | | | | | | (95,509) | | | | | | (63.5) | | | | | | (138,556) | | | | | | (19,342) | | | | | | (69.4) | | |
|
Gross profit
|
| | | | 232,545 | | | | | | 44.1 | | | | | | 183,476 | | | | | | 45.7 | | | | | | 110,715 | | | | | | 15,455 | | | | | | 30.7 | | | | | | 54,789 | | | | | | 36.5 | | | | | | 61,059 | | | | | | 8,523 | | | | | | 30.6 | | |
|
Other net income
|
| | | | 19,296 | | | | | | 3.7 | | | | | | 15,750 | | | | | | 3.9 | | | | | | 16,491 | | | | | | 2,302 | | | | | | 4.6 | | | | | | 7,939 | | | | | | 5.3 | | | | | | 3,021 | | | | | | 422 | | | | | | 1.5 | | |
|
Research and development expenses(1)
|
| | | | (758,565) | | | | | | (143.8) | | | | | | (1,058,395) | | | | | | (263.4) | | | | | | (1,091,357) | | | | | | (152,348) | | | | | | (302.2) | | | | | | (517,210) | | | | | | (344.2) | | | | | | (644,635) | | | | | | (89,988) | | | | | | (322.9) | | |
|
Administrative expenses(1)
|
| | | | (237,236) | | | | | | (45.0) | | | | | | (625,369) | | | | | | (155.6) | | | | | | (1,138,802) | | | | | | (158,970) | | | | | | (315.3) | | | | | | (208,293) | | | | | | (138.6) | | | | | | (278,942) | | | | | | (38,939) | | | | | | (139.8) | | |
|
Selling expenses(1)
|
| | | | (23,574) | | | | | | (4.5) | | | | | | (41,447) | | | | | | (10.3) | | | | | | (53,566) | | | | | | (7,478) | | | | | | (14.8) | | | | | | (22,784) | | | | | | (15.2) | | | | | | (27,780) | | | | | | (3,878) | | | | | | (13.9) | | |
|
Impairment loss on receivables and contract assets
|
| | | | (11,696) | | | | | | (2.2) | | | | | | (40,217) | | | | | | (10.0) | | | | | | (28,664) | | | | | | (4,001) | | | | | | (7.9) | | | | | | (13,424) | | | | | | (8.9) | | | | | | (2,800) | | | | | | (391) | | | | | | (1.4) | | |
|
Operating loss
|
| | | | (779,230) | | | | | | (147.7) | | | | | | (1,566,202) | | | | | | (389.7) | | | | | | (2,185,183) | | | | | | (305,040) | | | | | | (605.1) | | | | | | (698,983) | | | | | | (465.1) | | | | | | (890,077) | | | | | | (124,251) | | | | | | (445.9) | | |
|
Net foreign exchange gain
|
| | | | 20,209 | | | | | | 3.8 | | | | | | 7,052 | | | | | | 1.8 | | | | | | 27,880 | | | | | | 3,892 | | | | | | 7.7 | | | | | | 4,659 | | | | | | 3.1 | | | | | | 5,629 | | | | | | 786 | | | | | | 2.8 | | |
|
Interest income
|
| | | | 36,111 | | | | | | 6.8 | | | | | | 132,042 | | | | | | 32.9 | | | | | | 176,902 | | | | | | 24,695 | | | | | | 49.0 | | | | | | 89,294 | | | | | | 59.4 | | | | | | 74,946 | | | | | | 10,462 | | | | | | 37.5 | | |
|
Fair value changes of financial assets at fair value through profit or loss (“FVTPL”)
|
| | | | 7,731 | | | | | | 1.5 | | | | | | 42,960 | | | | | | 10.7 | | | | | | (61,834) | | | | | | (8,632) | | | | | | (17.1) | | | | | | 4,503 | | | | | | 3.0 | | | | | | 23,154 | | | | | | 3,232 | | | | | | 11.6 | | |
|
Other finance costs
|
| | | | (4,202) | | | | | | (0.8) | | | | | | (3,490) | | | | | | (0.9) | | | | | | (3,451) | | | | | | (482) | | | | | | (1.0) | | | | | | (1,356) | | | | | | (0.9) | | | | | | (3,292) | | | | | | (460) | | | | | | (1.6) | | |
|
Inducement charges of warrants
|
| | | | (125,213) | | | | | | (23.7) | | | | | | — | | | | | | — | | | | | | — | | | | | | — | | | | | | — | | | | | | — | | | | | | — | | | | | | — | | | | | | — | | | | | | — | | |
|
Fair value changes of financial liabilities measured at FVTPL
|
| | | | 25,308 | | | | | | 4.8 | | | | | | (4,549) | | | | | | (1.1) | | | | | | — | | | | | | — | | | | | | — | | | | | | — | | | | | | — | | | | | | — | | | | | | — | | | | | | — | | |
|
Changes in the carrying amounts
of preferred shares and other financial instruments subject to redemption and other preferential rights |
| | | | (479,210) | | | | | | (90.8) | | | | | | (554,048) | | | | | | (137.9) | | | | | | (465,254) | | | | | | (64,947) | | | | | | (128.8) | | | | | | (278,226) | | | | | | (185.1) | | | | | | — | | | | | | — | | | | | | — | | |
|
Loss before taxation
|
| | | | (1,298,496) | | | | | | (246.1) | | | | | | (1,946,235) | | | | | | (484.2) | | | | | | (2,510,940) | | | | | | (350,514) | | | | | | (695.3) | | | | | | (880,109) | | | | | | (585.6) | | | | | | (789,640) | | | | | | (110,231) | | | | | | (395.6) | | |
|
Income tax
|
| | | | — | | | | | | — | | | | | | (2,866) | | | | | | (0.7) | | | | | | (5,868) | | | | | | (819) | | | | | | (1.6) | | | | | | (1,591) | | | | | | (1.0) | | | | | | (1,877) | | | | | | (262) | | | | | | 0.9 | | |
|
Loss for the year/period
|
| | | | (1,298,496) | | | | | | (246.1) | | | | | | (1,949,101) | | | | | | (484.9) | | | | | | (2,516,808) | | | | | | (351,333) | | | | | | (696.9) | | | | | | (881,700) | | | | | | (586.6) | | | | | | (791,517) | | | | | | (110,493) | | | | | | (396.5) | | |
| | | |
For the Year Ended December 31,
|
| |
For the Six Months Ended
June 30, |
| ||||||||||||||||||||||||||||||||||||
| | | |
2022
|
| |
2023
|
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2024
|
| |
2024
|
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2025
|
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| | | |
RMB
|
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RMB
|
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RMB
|
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US$
|
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RMB
|
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RMB
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US$
|
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| | | |
(in thousands)
|
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|
Cost of revenue
|
| | | | — | | | | | | (10,284) | | | | | | (7,161) | | | | | | (1,000) | | | | | | (3,021) | | | | | | — | | | | | | — | | |
|
Research and development expenses
|
| | | | (231,000) | | | | | | (440,138) | | | | | | (234,350) | | | | | | (32,714) | | | | | | (150,368) | | | | | | (86,386) | | | | | | (12,059) | | |
|
Administrative expenses
|
| | | | (89,978) | | | | | | (465,678) | | | | | | (937,660) | | | | | | (130,892) | | | | | | (133,328) | | | | | | (129,414) | | | | | | (18,065) | | |
|
Selling expenses
|
| | | | (4,451) | | | | | | (15,684) | | | | | | (8,696) | | | | | | (1,214) | | | | | | (5,183) | | | | | | (3,722) | | | | | | (520) | | |
| Total | | | | | (325,429) | | | | | | (931,784) | | | | | | (1,187,867) | | | | | | (165,820) | | | | | | (291,900) | | | | | | (219,522) | | | | | | (30,644) | | |
| | | |
For the Year Ended December 31,
|
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For the Six Months Ended June 30,
|
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2022
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2023
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2024
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2024
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2025
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RMB
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%
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RMB
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%
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RMB
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US$
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%
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RMB
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%
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RMB
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US$
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%
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(in thousands, except for percentages)
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| Revenue: | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
|
Product revenue(1)
|
| | | | 337,717 | | | | | | 64.0 | | | | | | 54,190 | | | | | | 13.5 | | | | | | 87,710 | | | | | | 12,244 | | | | | | 24.3 | | | | | | 21,045 | | | | | | 14.0 | | | | | | 69,281 | | | | | | 9,671 | | | | | | 34.7 | | |
|
Service revenue(2)
|
| | | | 189,826 | | | | | | 36.0 | | | | | | 347,654 | | | | | | 86.5 | | | | | | 273,424 | | | | | | 38,168 | | | | | | 75.7 | | | | | | 129,253 | | | | | | 86.0 | | | | | | 130,334 | | | | | | 18,194 | | | | | | 65.3 | | |
|
Total Revenue
|
| | | | 527,543 | | | | | | 100.0 | | | | | | 401,844 | | | | | | 100.0 | | | | | | 361,134 | | | | | | 50,412 | | | | | | 100.0 | | | | | | 150,298 | | | | | | 100.0 | | | | | | 199,615 | | | | | | 27,865 | | | | | | 100.0 | | |
| | | |
For the Year Ended December 31,
|
| |
For the Six Months Ended
June 30, |
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2022
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2023
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2024
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2024
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2025
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| | | |
RMB
|
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%
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RMB
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%
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RMB
|
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US$
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%
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RMB
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%
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RMB
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US$
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%
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(in thousands, except for percentages)
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|
Sales of robotaxis and related services(1)
|
| | | | 43,303 | | | | | | 8.2 | | | | | | 29,379 | | | | | | 7.3 | | | | | | 47,832 | | | | | | 6,677 | | | | | | 13.2 | | | | | | 13,357 | | | | | | 8.9 | | | | | | 62,030 | | | | | | 8,659 | | | | | | 31.1 | | |
|
Sales of other L4 vehicles and related services(2)
|
| | | | 327,041 | | | | | | 62.0 | | | | | | 110,096 | | | | | | 27.4 | | | | | | 148,401 | | | | | | 20,716 | | | | | | 41.1 | | | | | | 57,825 | | | | | | 38.5 | | | | | | 61,902 | | | | | | 8,641 | | | | | | 31.0 | | |
|
Robobus
|
| | | | 320,240 | | | | | | 60.7 | | | | | | 94,914 | | | | | | 23.6 | | | | | | 79,688 | | | | | | 11,124 | | | | | | 22.1 | | | | | | 43,026 | | | | | | 28.6 | | | | | | 25,152 | | | | | | 3,511 | | | | | | 12.6 | | |
|
Robosweeper
|
| | | | 6,801 | | | | | | 1.3 | | | | | | 7,642 | | | | | | 1.9 | | | | | | 55,320 | | | | | | 7,722 | | | | | | 15.3 | | | | | | 11,536 | | | | | | 7.7 | | | | | | 33,850 | | | | | | 4,725 | | | | | | 17.0 | | |
|
Robovan(3)
|
| | | | — | | | | | | — | | | | | | 7,540 | | | | | | 1.9 | | | | | | 13,393 | | | | | | 1,870 | | | | | | 3.7 | | | | | | 3,263 | | | | | | 2.2 | | | | | | 2,900 | | | | | | 405 | | | | | | 1.4 | | |
|
Other technology services
|
| | | | 157,199 | | | | | | 29.8 | | | | | | 262,369 | | | | | | 65.3 | | | | | | 164,901 | | | | | | 23,019 | | | | | | 45.7 | | | | | | 79,116 | | | | | | 52.6 | | | | | | 75,683 | | | | | | 10,565 | | | | | | 37.9 | | |
|
Other L4 technology services
|
| | | | 6,681 | | | | | | 1.3 | | | | | | 35,759 | | | | | | 8.9 | | | | | | 20,887 | | | | | | 2,916 | | | | | | 5.8 | | | | | | 3,667 | | | | | | 2.4 | | | | | | 4,087 | | | | | | 57.0 | | | | | | 2.0 | | |
|
Other research and development services
|
| | | | 150,518 | | | | | | 28.5 | | | | | | 226,610 | | | | | | 56.4 | | | | | | 144,014 | | | | | | 20,103 | | | | | | 39.9 | | | | | | 75,449 | | | | | | 50.2 | | | | | | 71,596 | | | | | | 9,994 | | | | | | 35.9 | | |
|
Total revenue
|
| | | | 527,543 | | | | | | 100.0 | | | | | | 401,844 | | | | | | 100.0 | | | | | | 361,134 | | | | | | 50,412 | | | | | | 100.0 | | | | | | 150,298 | | | | | | 100.0 | | | | | | 199,615 | | | | | | 27,865 | | | | | | 100.0 | | |
| | | |
For the Year Ended December 31,
|
| |
For the Six
Months Ended June 30, |
| ||||||||||||||||||||||||
| | | |
2022
|
| |
2023
|
| |
2024
|
| |
2024
|
| |
2025
|
| |||||||||||||||
|
Sales of robotaxis
|
| | | | 11 | | | | | | 3 | | | | | | 18 | | | | | | — | | | | | | 46 | | |
|
Sales of robobuses
|
| | | | 90 | | | | | | 19 | | | | | | 14 | | | | | | 9 | | | | | | 2 | | |
|
Sales of robosweepers
|
| | | | 2 | | | | | | — | | | | | | 49 | | | | | | 4 | | | | | | 24 | | |
|
Sales of robovans
|
| | | | — | | | | | | — | | | | | | 10 | | | | | | — | | | | | | — | | |
| | | |
For the Year Ended December 31,
|
| |
For the Six Months Ended June 30,
|
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| | | |
2022
|
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2023
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2024
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2024
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2025
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| | | |
RMB
|
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%
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RMB
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%
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RMB
|
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US$
|
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%
|
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RMB
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%
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RMB
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US$
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%
|
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| | | |
(in thousands, except for percentages)
|
| |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Cost of revenue: | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
|
Cost of goods sold
|
| | | | (192,523) | | | | | | 65.3 | | | | | | (34,138) | | | | | | 15.6 | | | | | | (71,716) | | | | | | (10,011) | | | | | | 28.6 | | | | | | (17,157) | | | | | | 18.0 | | | | | | (35,461) | | | | | | (4,950) | | | | | | 25.6 | | |
|
Cost of services
|
| | | | (102,475) | | | | | | 34.7 | | | | | | (184,230) | | | | | | 84.4 | | | | | | (178,703) | | | | | | (24,946) | | | | | | 71.4 | | | | | | (78,352) | | | | | | 82.0 | | | | | | (103,095) | | | | | | (14,392) | | | | | | 74.4 | | |
| Total | | | | | (294,998) | | | | | | 100.0 | | | | | | (218,368) | | | | | | 100.0 | | | | | | (250,419) | | | | | | (34,957) | | | | | | 100.0 | | | | | | (95,509) | | | | | | 100.0 | | | | | | (138,556) | | | | | | (19,342) | | | | | | 100.0 | | |
| | | |
For the Year Ended December 31,
|
| |
For the Six Months Ended June 30,
|
| ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| | | |
2022
|
| |
2023
|
| |
2024
|
| |
2024
|
| |
2025
|
| |||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| | | |
RMB
|
| |
%
|
| |
RMB
|
| |
%
|
| |
RMB
|
| |
US$
|
| |
%
|
| |
RMB
|
| |
%
|
| |
RMB
|
| |
US$
|
| |
%
|
| ||||||||||||||||||||||||||||||||||||
| | | |
(in thousands, except for percentages)
|
| |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Cost of revenue: | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
|
Payroll and employee benefits
|
| | | | (68,529) | | | | | | 23.2 | | | | | | (80,687) | | | | | | 37.0 | | | | | | (86,923) | | | | | | (12,134) | | | | | | 34.7 | | | | | | (29,452) | | | | | | 30.8 | | | | | | (61,175) | | | | | | (8,540) | | | | | | 44.2 | | |
|
Share-based compensation
|
| | | | — | | | | | | — | | | | | | (10,284) | | | | | | 4.7 | | | | | | (7,161) | | | | | | (1,000) | | | | | | 2.9 | | | | | | (3,021) | | | | | | 3.2 | | | | | | — | | | | | | — | | | | | | 0.0 | | |
|
Cost of goods sold
|
| | | | (192,523) | | | | | | 65.3 | | | | | | (34,138) | | | | | | 15.6 | | | | | | (71,716) | | | | | | (10,011) | | | | | | 28.6 | | | | | | (17,157) | | | | | | 18.0 | | | | | | (35,461) | | | | | | (4,950) | | | | | | 25.6 | | |
|
Depreciation and amortization
|
| | | | (2,794) | | | | | | 0.9 | | | | | | (3,434) | | | | | | 1.6 | | | | | | (4,381) | | | | | | (612) | | | | | | 1.7 | | | | | | (2,158) | | | | | | 2.3 | | | | | | (3,976) | | | | | | (555) | | | | | | 2.9 | | |
|
Service fee from a related party
|
| | | | (13,175) | | | | | | 4.5 | | | | | | (50,743) | | | | | | 23.2 | | | | | | (21,133) | | | | | | (2,950) | | | | | | 8.4 | | | | | | (24,861) | | | | | | 26.0 | | | | | | (2,397) | | | | | | (335) | | | | | | 1.7 | | |
|
Outsourcing service fee
|
| | | | (6,912) | | | | | | 2.3 | | | | | | (10,596) | | | | | | 4.9 | | | | | | (25,899) | | | | | | (3,615) | | | | | | 10.3 | | | | | | (9,163) | | | | | | 9.6 | | | | | | (17,926) | | | | | | (2,502) | | | | | | 12.9 | | |
|
Utilities and property management fee
|
| | | | — | | | | | | — | | | | | | (54) | | | | | | 0.0 | | | | | | (3,254) | | | | | | (454) | | | | | | 1.3 | | | | | | (1,421) | | | | | | 1.5 | | | | | | (935) | | | | | | (131) | | | | | | 0.7 | | |
|
Vehicle related costs(1)
|
| | | | (4,767) | | | | | | 1.6 | | | | | | (11,991) | | | | | | 5.5 | | | | | | (9,411) | | | | | | (1,314) | | | | | | 3.8 | | | | | | (2,232) | | | | | | 2.3 | | | | | | (6,953) | | | | | | (971) | | | | | | 5.0 | | |
|
Platform service fees(2)
|
| | | | — | | | | | | — | | | | | | (6,550) | | | | | | 3.0 | | | | | | (14,444) | | | | | | (2,016) | | | | | | 5.8 | | | | | | (2,382) | | | | | | 2.5 | | | | | | (1,610) | | | | | | (225) | | | | | | 1.2 | | |
|
Travel expenses
|
| | | | (2,585) | | | | | | 0.9 | | | | | | (2,145) | | | | | | 1.0 | | | | | | (2,131) | | | | | | (297) | | | | | | 0.9 | | | | | | (664) | | | | | | 0.7 | | | | | | (2,067) | | | | | | (289) | | | | | | 1.5 | | |
|
Others
|
| | | | (3,713) | | | | | | 1.3 | | | | | | (7,746) | | | | | | 3.5 | | | | | | (3,966) | | | | | | (554) | | | | | | 1.6 | | | | | | (2,998) | | | | | | 3.1 | | | | | | (6,056) | | | | | | (844) | | | | | | 4.3 | | |
| Total | | | | | (294,998) | | | | | | 100.0 | | | | | | (218,368) | | | | | | 100.0 | | | | | | (250,419) | | | | | | (34,957) | | | | | | 100.0 | | | | | | (95,509) | | | | | | 100.0 | | | | | | (138,556) | | | | | | (19,342) | | | | | | 100.0 | | |
| | | |
For the Year Ended December 31,
|
| |
For the Six Months Ended
June 30, |
| ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| | | |
2022
|
| |
2023
|
| |
2024
|
| |
2024
|
| |
2025
|
| |||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| | | |
Gross
Profit |
| |
Gross
margin |
| |
Gross
Profit |
| |
Gross
margin |
| |
Gross
Profit |
| |
Gross
Profit |
| |
Gross
margin |
| |
Gross
Profit |
| |
Gross
margin |
| |
Gross
Profit |
| |
Gross
Profit |
| |
Gross
margin |
| ||||||||||||||||||||||||||||||||||||
| | | |
RMB
|
| |
%
|
| |
RMB
|
| |
%
|
| |
RMB
|
| |
US$
|
| |
%
|
| |
RMB
|
| |
%
|
| |
RMB
|
| |
US$
|
| |
%
|
| ||||||||||||||||||||||||||||||||||||
| | | |
(in thousands, except for percentages)
|
| |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|
Products
|
| | | | 145,194 | | | | | | 43.0 | | | | | | 20,052 | | | | | | 37.0 | | | | | | 15,994 | | | | | | 2,233 | | | | | | 18.2 | | | | | | 3,888 | | | | | | 18.5 | | | | | | 33,820 | | | | | | 4,721 | | | | | | 48.8 | | |
|
Services
|
| | | | 87,351 | | | | | | 46.0 | | | | | | 163,424 | | | | | | 47.0 | | | | | | 94,721 | | | | | | 13,222 | | | | | | 34.6 | | | | | | 50,901 | | | | | | 39.4 | | | | | | 27,239 | | | | | | 3,802 | | | | | | 20.9 | | |
| Total | | | | | 232,545 | | | | | | 44.1 | | | | | | 183,476 | | | | | | 45.7 | | | | | | 110,715 | | | | | | 15,455 | | | | | | 30.7 | | | | | | 54,789 | | | | | | 36.5 | | | | | | 61,059 | | | | | | 8,523 | | | | | | 30.6 | | |
| | | |
For the Year Ended December 31,
|
| |
For the Six Months Ended June 30,
|
| ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| | | |
2022
|
| |
2023
|
| |
2024
|
| |
2024
|
| |
2025
|
| |||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| | | |
RMB
|
| |
%
|
| |
RMB
|
| |
%
|
| |
RMB
|
| |
US$
|
| |
%
|
| |
RMB
|
| |
%
|
| |
RMB
|
| |
US$
|
| |
%
|
| ||||||||||||||||||||||||||||||||||||
| | | |
(in thousands, except for percentages)
|
| |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Operating Expenses: | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
|
Research and development
expenses |
| | | | (758,565) | | | | | | 143.8 | | | | | | (1,058,395) | | | | | | 263.4 | | | | | | (1,091,357) | | | | | | (152,348) | | | | | | 302.2 | | | | | | (517,210) | | | | | | 344.2 | | | | | | (644,635) | | | | | | (89,988) | | | | | | 322.9 | | |
|
Administrative expenses
|
| | | | (237,236) | | | | | | 45.0 | | | | | | (625,369) | | | | | | 155.6 | | | | | | (1,138,802) | | | | | | (158,970) | | | | | | 315.3 | | | | | | (208,293) | | | | | | 138.6 | | | | | | (278,942) | | | | | | (38,939) | | | | | | 139.8 | | |
|
Selling expenses
|
| | | | (23,574) | | | | | | 4.5 | | | | | | (41,447) | | | | | | 10.3 | | | | | | (53,566) | | | | | | (7,478) | | | | | | 14.8 | | | | | | (22,784) | | | | | | 15.2 | | | | | | (27,780) | | | | | | (3,878) | | | | | | 13.9 | | |
| Total | | | | | (1,019,375) | | | | | | 193.3 | | | | | | (1,725,211) | | | | | | 429.3 | | | | | | (2,283,725) | | | | | | (318,796) | | | | | | 632.3 | | | | | | (748,287) | | | | | | 498.0 | | | | | | (951,357) | | | | | | (132,805) | | | | | | 476.6 | | |
| | | |
For the Year Ended December 31,
|
| |
For the Six Months Ended June 30,
|
| ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| | | |
2022
|
| |
2023
|
| |
2024
|
| |
2024
|
| |
2025
|
| |||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| | | |
RMB
|
| |
%
|
| |
RMB
|
| |
%
|
| |
RMB
|
| |
US$
|
| |
%
|
| |
RMB
|
| |
%
|
| |
RMB
|
| |
US$
|
| |
%
|
| ||||||||||||||||||||||||||||||||||||
| | | |
(in thousands, except for percentages)
|
| |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|
Payroll and employee
benefits |
| | | | (335,939) | | | | | | 44.3 | | | | | | (390,471) | | | | | | 36.9 | | | | | | (551,581) | | | | | | (76,998) | | | | | | 50.5 | | | | | | (238,696) | | | | | | 46.2 | | | | | | (344,667) | | | | | | (48,114) | | | | | | 53.5 | | |
|
Share-based compensation
|
| | | | (231,000) | | | | | | 30.5 | | | | | | (440,138) | | | | | | 41.6 | | | | | | (234,350) | | | | | | (32,714) | | | | | | 21.5 | | | | | | (150,368) | | | | | | 29.1 | | | | | | (86,386) | | | | | | (12,059) | | | | | | 13.4 | | |
|
Depreciation and amortization
|
| | | | (66,025) | | | | | | 8.7 | | | | | | (67,839) | | | | | | 6.4 | | | | | | (76,709) | | | | | | (10,708) | | | | | | 7.0 | | | | | | (36,553) | | | | | | 7.1 | | | | | | (56,342) | | | | | | (7,865) | | | | | | 8.7 | | |
|
Professional services fee
|
| | | | (22,805) | | | | | | 3.0 | | | | | | (13,441) | | | | | | 1.3 | | | | | | (57,578) | | | | | | (8,038) | | | | | | 5.3 | | | | | | (5,791) | | | | | | 1.1 | | | | | | (35,227) | | | | | | (4,917) | | | | | | 5.5 | | |
|
Service fee from a related party
|
| | | | (20,756) | | | | | | 2.7 | | | | | | (60,789) | | | | | | 5.7 | | | | | | (68,922) | | | | | | (9,621) | | | | | | 6.3 | | | | | | (40,696) | | | | | | 7.9 | | | | | | (29,982) | | | | | | (4,185) | | | | | | 4.7 | | |
|
Outsourcing service fee
|
| | | | (19,109) | | | | | | 2.5 | | | | | | (29,415) | | | | | | 2.8 | | | | | | (36,929) | | | | | | (5,155) | | | | | | 3.4 | | | | | | (15,268) | | | | | | 3.0 | | | | | | (41,511) | | | | | | (5,795) | | | | | | 6.4 | | |
|
Utilities and property management fee
|
| | | | (15,023) | | | | | | 2.0 | | | | | | (16,127) | | | | | | 1.5 | | | | | | (17,431) | | | | | | (2,433) | | | | | | 1.6 | | | | | | (7,028) | | | | | | 1.4 | | | | | | (12,096) | | | | | | (1,689) | | | | | | 1.9 | | |
|
Others
|
| | | | (47,908) | | | | | | 6.3 | | | | | | (40,175) | | | | | | 3.8 | | | | | | (47,857) | | | | | | (6,681) | | | | | | 4.4 | | | | | | (22,810) | | | | | | 4.2 | | | | | | (38,424) | | | | | | (5,364) | | | | | | 5.9 | | |
| Total | | | | | (758,565) | | | | | | 100.0 | | | | | | (1,058,395) | | | | | | 100.0 | | | | | | (1,091,357) | | | | | | (152,348) | | | | | | 100.0 | | | | | | (517,210) | | | | | | 100.0 | | | | | | (644,635) | | | | | | (89,988) | | | | | | 100.0 | | |
| | | |
For the Year Ended December 31,
|
| |
For the Six Months Ended June 30,
|
| ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| | | |
2022
|
| |
2023
|
| |
2024
|
| |
2024
|
| |
2025
|
| |||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| | | |
RMB
|
| |
%
|
| |
RMB
|
| |
%
|
| |
RMB
|
| |
US$
|
| |
%
|
| |
RMB
|
| |
%
|
| |
RMB
|
| |
US$
|
| |
%
|
| ||||||||||||||||||||||||||||||||||||
| | | |
(in thousands, except for percentages)
|
| |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|
Payroll and employee benefits
|
| | | | (62,427) | | | | | | 26.3 | | | | | | (76,678) | | | | | | 12.3 | | | | | | (100,502) | | | | | | (14,030) | | | | | | 8.8 | | | | | | (42,050) | | | | | | 20.2 | | | | | | (54,213) | | | | | | (7,568) | | | | | | 19.4 | | |
|
Share-based compensation
|
| | | | (89,978) | | | | | | 37.9 | | | | | | (465,678) | | | | | | 74.5 | | | | | | (937,660) | | | | | | (130,892) | | | | | | 82.4 | | | | | | (133,328) | | | | | | 64.0 | | | | | | (129,414) | | | | | | (18,065) | | | | | | 46.4 | | |
|
Depreciation and amortization
|
| | | | (17,036) | | | | | | 7.2 | | | | | | (16,906) | | | | | | 2.7 | | | | | | (18,479) | | | | | | (2,580) | | | | | | 1.6 | | | | | | (9,606) | | | | | | 4.6 | | | | | | (11,634) | | | | | | (1,624) | | | | | | 4.2 | | |
|
Professional services fee
|
| | | | (33,647) | | | | | | 14.2 | | | | | | (32,989) | | | | | | 5.3 | | | | | | (49,013) | | | | | | (6,842) | | | | | | 4.3 | | | | | | (11,267) | | | | | | 5.4 | | | | | | (66,420) | | | | | | (9,272) | | | | | | 23.8 | | |
|
Outsourcing service fee
|
| | | | (1,813) | | | | | | 0.8 | | | | | | (2,413) | | | | | | 0.4 | | | | | | (1,527) | | | | | | (213) | | | | | | 0.1 | | | | | | (626) | | | | | | 0.3 | | | | | | (636) | | | | | | (89) | | | | | | 0.2 | | |
|
Utilities and property management fee
|
| | | | (22,739) | | | | | | 9.6 | | | | | | (14,605) | | | | | | 2.3 | | | | | | (13,740) | | | | | | (1,918) | | | | | | 1.2 | | | | | | (5,034) | | | | | | 2.4 | | | | | | (10,788) | | | | | | (1,506) | | | | | | 3.9 | | |
|
Others
|
| | | | (9,596) | | | | | | 4.0 | | | | | | (16,100) | | | | | | 2.5 | | | | | | (17,881) | | | | | | (2,495) | | | | | | 1.6 | | | | | | (6,382) | | | | | | 3.1 | | | | | | (5,837) | | | | | | (815) | | | | | | 2.1 | | |
| Total | | | | | (237,236) | | | | | | 100.0 | | | | | | (625,369) | | | | | | 100.0 | | | | | | (1,138,802) | | | | | | (158,970) | | | | | | 100.0 | | | | | | (208,293) | | | | | | 100.0 | | | | | | (278,942) | | | | | | (38,939) | | | | | | 100.0 | | |
| | | |
For the Year Ended December 31,
|
| |
For the Six Months Ended June 30,
|
| ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| | | |
2022
|
| |
2023
|
| |
2024
|
| |
2024
|
| |
2025
|
| |||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| | | |
RMB
|
| |
%
|
| |
RMB
|
| |
%
|
| |
RMB
|
| |
US$
|
| |
%
|
| |
RMB
|
| |
%
|
| |
RMB
|
| |
US$
|
| |
%
|
| ||||||||||||||||||||||||||||||||||||
| | | |
(in thousands, except for percentages)
|
| |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|
Payroll and employee benefits
|
| | | | (10,032) | | | | | | 42.6 | | | | | | (17,839) | | | | | | 43.0 | | | | | | (26,850) | | | | | | (3,748) | | | | | | 50.1 | | | | | | (11,915) | | | | | | 52.3 | | | | | | (13,576) | | | | | | (1,895) | | | | | | 48.9 | | |
|
Share-based compensation
|
| | | | (4,451) | | | | | | 18.9 | | | | | | (15,684) | | | | | | 37.8 | | | | | | (8,696) | | | | | | (1,214) | | | | | | 16.2 | | | | | | (5,183) | | | | | | 22.7 | | | | | | (3,722) | | | | | | (520) | | | | | | 13.4 | | |
|
Depreciation and amortization
|
| | | | (697) | | | | | | 3.0 | | | | | | (1,431) | | | | | | 3.5 | | | | | | (1,562) | | | | | | (218) | | | | | | 2.9 | | | | | | (567) | | | | | | 2.5 | | | | | | (1,075) | | | | | | (150) | | | | | | 3.9 | | |
|
Professional services fee
|
| | | | (3,702) | | | | | | 15.7 | | | | | | (488) | | | | | | 1.2 | | | | | | (587) | | | | | | (82) | | | | | | 1.1 | | | | | | (139) | | | | | | 0.6 | | | | | | (1,077) | | | | | | (150) | | | | | | 3.9 | | |
|
Outsourcing service fee
|
| | | | — | | | | | | — | | | | | | (815) | | | | | | 2.0 | | | | | | (3,083) | | | | | | (430) | | | | | | 5.8 | | | | | | (1,132) | | | | | | 5.0 | | | | | | (1,661) | | | | | | (232) | | | | | | 6.0 | | |
|
Utilities and property management fee
|
| | | | (448) | | | | | | 1.9 | | | | | | (1,192) | | | | | | 2.9 | | | | | | (1,273) | | | | | | (178) | | | | | | 2.4 | | | | | | (559) | | | | | | 2.5 | | | | | | (1,004) | | | | | | (140) | | | | | | 3.6 | | |
|
Others
|
| | | | (4,244) | | | | | | 17.9 | | | | | | (3,998) | | | | | | 9.6 | | | | | | (11,515) | | | | | | (1,608) | | | | | | 21.5 | | | | | | (3,289) | | | | | | 14.4 | | | | | | (5,665) | | | | | | (791) | | | | | | 20.3 | | |
| Total | | | | | (23,574) | | | | | | 100.0 | | | | | | (41,447) | | | | | | 100.0 | | | | | | (53,566) | | | | | | (7,478) | | | | | | 100.0 | | | | | | (22,784) | | | | | | 100.0 | | | | | | (27,780) | | | | | | (3,878) | | | | | | 100.0 | | |
| | | |
For the Year Ended December 31,
|
| |
For the Six Months Ended June 30,
|
| ||||||||||||||||||||||||||||||||||||
| | | |
2022
|
| |
2023
|
| |
2024
|
| |
2024
|
| |
2025
|
| |||||||||||||||||||||||||||
| | | |
RMB
|
| |
RMB
|
| |
RMB
|
| |
US$
|
| |
RMB
|
| |
RMB
|
| |
US$
|
| |||||||||||||||||||||
| | | |
(in thousands)
|
| |||||||||||||||||||||||||||||||||||||||
|
Government grants
|
| | | | 19,658 | | | | | | 14,399 | | | | | | 14,132 | | | | | | 1,973 | | | | | | 6,904 | | | | | | 450 | | | | | | 63 | | |
|
Net (loss)/gain on disposal of non-current assets
|
| | | | (950) | | | | | | (1,087) | | | | | | 1,013 | | | | | | 141 | | | | | | — | | | | | | (109) | | | | | | (15) | | |
| Others(1) | | | | | 588 | | | | | | 2,438 | | | | | | 1,346 | | | | | | 188 | | | | | | 1,035 | | | | | | 2,680 | | | | | | 374 | | |
| Total | | | | | 19,296 | | | | | | 15,750 | | | | | | 16,491 | | | | | | 2,302 | | | | | | 7,939 | | | | | | 3,021 | | | | | | 422 | | |
| | | |
For the Year Ended December 31,
|
| |
For the Six Months Ended June 30,
|
| ||||||||||||||||||||||||||||||||||||
| | | |
2022
|
| |
2023
|
| |
2024
|
| |
2024
|
| |
2025
|
| |||||||||||||||||||||||||||
| | | |
RMB
|
| |
RMB
|
| |
RMB
|
| |
US$
|
| |
RMB
|
| |
RMB
|
| |
US$
|
| |||||||||||||||||||||
| | | |
(in thousands)
|
| |||||||||||||||||||||||||||||||||||||||
|
Interest on lease liabilities
|
| | | | 3,574 | | | | | | 2,853 | | | | | | 2,276 | | | | | | 318 | | | | | | 1,034 | | | | | | 1,660 | | | | | | 233 | | |
|
Changes in the carrying amount of put option liabilities
|
| | | | 628 | | | | | | 637 | | | | | | 650 | | | | | | 91 | | | | | | 322 | | | | | | 325 | | | | | | 45 | | |
|
Interest on bank loans
|
| | | | — | | | | | | — | | | | | | 525 | | | | | | 73 | | | | | | — | | | | | | 1,307 | | | | | | 182 | | |
| Total | | | | | 4,202 | | | | | | 3,490 | | | | | | 3,451 | | | | | | 482 | | | | | | 1,356 | | | | | | 3,292 | | | | | | 460 | | |
| | | |
Six Months Ended
June 30, |
| |||||||||
| | | |
2024
|
| |
2025
|
| ||||||
|
Sales of robotaxis
|
| | | | — | | | | | | 46 | | |
|
Sales of robobuses
|
| | | | 9 | | | | | | 2 | | |
|
Sales of robosweepers
|
| | | | 4 | | | | | | 24 | | |
|
Sales of robovans
|
| | | | — | | | | | | — | | |
| | | |
Six Months Ended
June 30, |
| |||||||||
| | | |
2024
|
| |
2025
|
| ||||||
|
Sales of robotaxis
|
| | | | 79% | | | | | | 53% | | |
|
Sales of robobuses
|
| | | | 29% | | | | | | 27% | | |
|
Sales of robosweepers
|
| | | | N/A | | | | | | 47% | | |
|
Sales of robovans
|
| | | | N/A | | | | | | N/A | | |
|
Operational and technical support services
|
| | | | 43% | | | | | | 23% | | |
|
Other technology service
|
| | | | 37% | | | | | | 19% | | |
| | | |
For the Year Ended
December 31, |
| |||||||||
| | | |
2023
|
| |
2024
|
| ||||||
|
Sales of robotaxis
|
| | | | 3 | | | | | | 18 | | |
|
Sales of robobuses
|
| | | | 19 | | | | | | 14 | | |
|
Sales of robosweepers
|
| | | | — | | | | | | 49 | | |
|
Sales of robovans
|
| | | | — | | | | | | 10 | | |
| | | |
For the Year Ended
December 31, |
| |||||||||
| | | |
2023
|
| |
2024
|
| ||||||
|
Sales of robotaxis
|
| | | | 37% | | | | | | 53% | | |
|
Sales of robobuses
|
| | | | 48% | | | | | | 32% | | |
|
Sales of robosweepers
|
| | | | N/A | | | | | | (22)%(1) | | |
|
Sales of robovans
|
| | | | N/A | | | | | | 3% | | |
|
Operational and technical support services
|
| | | | 48% | | | | | | 42% | | |
|
Other technology service
|
| | | | 47% | | | | | | 30% | | |
| | | |
For the Year Ended
December 31, |
| |||||||||
| | | |
2022
|
| |
2023
|
| ||||||
|
Sales of robobuses
|
| | | | 90 | | | | | | 19 | | |
|
Sales of robotaxis
|
| | | | 11 | | | | | | 3 | | |
| | | |
As of December 31,
|
| |
As of June 30, 2025
|
| ||||||||||||||||||||||||||||||
| | | |
2022
|
| |
2023
|
| |
2024
|
| |
2025
|
| ||||||||||||||||||||||||
| | | |
RMB
|
| |
RMB
|
| |
RMB
|
| |
US$
|
| |
RMB
|
| |
US$
|
| ||||||||||||||||||
| | | |
(in thousands)
|
| |||||||||||||||||||||||||||||||||
| Non-current assets | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
|
Property and equipment
|
| | | | 113,878 | | | | | | 98,574 | | | | | | 178,179 | | | | | | 24,873 | | | | | | 281,968 | | | | | | 39,361 | | |
|
Right-of-use assets
|
| | | | 64,410 | | | | | | 51,658 | | | | | | 73,564 | | | | | | 10,269 | | | | | | 72,951 | | | | | | 10,184 | | |
|
Intangible assets
|
| | | | 28,603 | | | | | | 24,594 | | | | | | 21,664 | | | | | | 3,024 | | | | | | 19,544 | | | | | | 2,728 | | |
|
Goodwill
|
| | | | 44,758 | | | | | | 44,758 | | | | | | 44,758 | | | | | | 6,248 | | | | | | 44,758 | | | | | | 6,248 | | |
|
Restricted cash–non-current
|
| | | | 11,004 | | | | | | 1,575 | | | | | | 9,669 | | | | | | 1,350 | | | | | | 12,142 | | | | | | 1,695 | | |
|
Deferred tax assets
|
| | | | 2,992 | | | | | | 1,994 | | | | | | 997 | | | | | | 139 | | | | | | 498 | | | | | | 70 | | |
|
Financial assets at FVTPL–non-current
|
| | | | — | | | | | | — | | | | | | 56,919 | | | | | | 7,946 | | | | | | 58,151 | | | | | | 8,118 | | |
|
Other non-current assets
|
| | | | 46,273 | | | | | | 21,082 | | | | | | 20,025 | | | | | | 2,795 | | | | | | 20,684 | | | | | | 2,885 | | |
|
Total non-current assets
|
| | | | 311,918 | | | | | | 244,235 | | | | | | 405,775 | | | | | | 56,644 | | | | | | 510,696 | | | | | | 71,289 | | |
| Non-current liabilities | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
|
Lease liabilities–non-current
|
| | | | 35,864 | | | | | | 22,309 | | | | | | 26,059 | | | | | | 3,638 | | | | | | 21,198 | | | | | | 2,959 | | |
|
Put option liabilities–non-current
|
| | | | 39,812 | | | | | | 40,449 | | | | | | — | | | | | | — | | | | | | — | | | | | | — | | |
|
Long-term bank loan
|
| | | | — | | | | | | — | | | | | | 50,040 | | | | | | 6,985 | | | | | | 47,534 | | | | | | 6,635 | | |
|
Deferred tax liabilities
|
| | | | 6,481 | | | | | | 5,483 | | | | | | 4,486 | | | | | | 626 | | | | | | 3,988 | | | | | | 557 | | |
|
Other non-current liabilities
|
| | | | 5,943 | | | | | | 6,522 | | | | | | 4,677 | | | | | | 653 | | | | | | 8,097 | | | | | | 1,130 | | |
|
Total non-current liabilities
|
| | | | 88,100 | | | | | | 74,763 | | | | | | 85,262 | | | | | | 11,902 | | | | | | 80,817 | | | | | | 11,281 | | |
| | | |
As of December 31,
|
| |
As of
June 30, |
| ||||||||||||||||||
| | | |
2022
|
| |
2023
|
| |
2024
|
| |
2025
|
| ||||||||||||
|
Pre-tax discount rate
|
| | | | 20.2% | | | | | | 19.5% | | | | | | 18.6% | | | | | | 19.0% | | |
|
Terminal growth rate
|
| | | | 3.0% | | | | | | 2.2% | | | | | | 2.0% | | | | | | 2.0% | | |
| | | |
As of December 31,
|
| |
As of June 30,
|
| ||||||||||||||||||
| | | |
2022
|
| |
2023
|
| |
2024
|
| |
2025
|
| ||||||||||||
| | | |
RMB
|
| |
RMB
|
| |
RMB
|
| |
RMB
|
| ||||||||||||
| | | |
(in thousands)
|
| | | | | | | |||||||||||||||
|
Pre-tax discount rate increase by 5%
|
| | | | (7,114,206) | | | | | | (9,034,662) | | | | | | (6,962,478) | | | | | | (6,943,805) | | |
|
Terminal growth rate decrease by 1%
|
| | | | (600,989) | | | | | | (729,956) | | | | | | (608,994) | | | | | | (610,526) | | |
| | | |
As of December 31,
|
| |
As of June 30,
|
| |
As of August 31,
|
| |||||||||||||||||||||||||||||||||||||||
| | | |
2022
|
| |
2023
|
| |
2024
|
| |
2025
|
| |
2025
|
| |||||||||||||||||||||||||||||||||
| | | |
RMB
|
| |
RMB
|
| |
RMB
|
| |
US$
|
| |
RMB
|
| |
US$
|
| |
RMB
|
| |
US$
|
| ||||||||||||||||||||||||
| | | |
(in thousands)
|
| | | | ||||||||||||||||||||||||||||||||||||||||||
| Current assets | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | ||||||||||
|
Inventories
|
| | | | 156,005 | | | | | | 218,220 | | | | | | 204,705 | | | | | | 28,576 | | | | | | 289,929 | | | | | | 40,473 | | | | | | 310,314 | | | | | | 43,318 | | |
|
Contract assets
|
| | | | 92,597 | | | | | | 82,826 | | | | | | 28,005 | | | | | | 3,909 | | | | | | 35,336 | | | | | | 4,933 | | | | | | 35,282 | | | | | | 4,925 | | |
|
Trade receivables
|
| | | | 236,390 | | | | | | 266,933 | | | | | | 252,607 | | | | | | 35,263 | | | | | | 241,372 | | | | | | 33,694 | | | | | | 225,599 | | | | | | 31,492 | | |
|
Prepayments and other receivables
|
| | | | 74,459 | | | | | | 192,530 | | | | | | 197,652 | | | | | | 27,591 | | | | | | 191,127 | | | | | | 26,680 | | | | | | 372,267 | | | | | | 51,968 | | |
|
Prepayments to and amounts due from related parties
|
| | | | 3,122 | | | | | | 26,923 | | | | | | 26,618 | | | | | | 3,716 | | | | | | 50,917 | | | | | | 7,108 | | | | | | 40,540 | | | | | | 5,659 | | |
|
Financial assets at FVTPL–current
|
| | | | 1,218,524 | | | | | | 317,042 | | | | | | 1,685,146 | | | | | | 235,237 | | | | | | 1,735,333 | | | | | | 242,243 | | | | | | 1,747,476 | | | | | | 243,938 | | |
|
Time deposits
|
| | | | 1,057,292 | | | | | | 2,550,279 | | | | | | 620,148 | | | | | | 86,569 | | | | | | 251,733 | | | | | | 35,141 | | | | | | 252,409 | | | | | | 35,235 | | |
|
Cash and cash equivalent
|
| | | | 2,233,691 | | | | | | 1,661,152 | | | | | | 4,268,300 | | | | | | 595,832 | | | | | | 3,836,137 | | | | | | 535,504 | | | | | | 3,545,290 | | | | | | 494,903 | | |
|
Restricted cash–current
|
| | | | 1,393 | | | | | | 10,194 | | | | | | 4,814 | | | | | | 672 | | | | | | 3,273 | | | | | | 457 | | | | | | 3,548 | | | | | | 495 | | |
|
Subscription receivables
|
| | | | — | | | | | | 43,924 | | | | | | — | | | | | | — | | | | | | — | | | | | | — | | | | | | — | | | | | | — | | |
|
Total current assets
|
| | | | 5,073,473 | | | | | | 5,370,023 | | | | | | 7,287,995 | | | | | | 1,017,365 | | | | | | 6,635,157 | | | | | | 926,233 | | | | | | 6,532,725 | | | | | | 911,933 | | |
| Current liabilities | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | ||||||||||
|
Trade payables
|
| | | | 11,505 | | | | | | 16,962 | | | | | | 20,713 | | | | | | 2,891 | | | | | | 47,117 | | | | | | 6,577 | | | | | | 56,528 | | | | | | 7,891 | | |
|
Preferred shares and other financial instruments subject to redemption and other preferential rights
|
| | | | 7,017,554 | | | | | | 8,181,722 | | | | | | — | | | | | | — | | | | | | — | | | | | | — | | | | | | — | | | | | | — | | |
|
Other payables, deposits received and accrued expenses
|
| | | | 217,195 | | | | | | 271,306 | | | | | | 397,755 | | | | | | 55,526 | | | | | | 330,848 | | | | | | 46,185 | | | | | | 280,545 | | | | | | 39,162 | | |
|
Contract liabilities
|
| | | | 4,200 | | | | | | 12,498 | | | | | | 4,476 | | | | | | 625 | | | | | | 30,574 | | | | | | 4,268 | | | | | | 61,146 | | | | | | 8,536 | | |
|
Lease liabilities–current
|
| | | | 32,009 | | | | | | 31,098 | | | | | | 36,900 | | | | | | 5,151 | | | | | | 34,386 | | | | | | 4,800 | | | | | | 35,367 | | | | | | 4,937 | | |
|
Amounts due to related parties
|
| | | | 24,832 | | | | | | 77,827 | | | | | | 9,450 | | | | | | 1,319 | | | | | | 14,656 | | | | | | 2,046 | | | | | | 8,371 | | | | | | 1,169 | | |
|
Financial liabilities at FVTPL
|
| | | | 72,112 | | | | | | — | | | | | | — | | | | | | — | | | | | | — | | | | | | — | | | | | | — | | | | | | — | | |
|
Put option liabilities–current
|
| | | | — | | | | | | — | | | | | | 41,099 | | | | | | 5,737 | | | | | | 41,424 | | | | | | 5,783 | | | | | | 41,536 | | | | | | 5,798 | | |
|
Short-term bank loans
|
| | | | — | | | | | | — | | | | | | 30,019 | | | | | | 4,190 | | | | | | 102,275 | | | | | | 14,277 | | | | | | 200,408 | | | | | | 27,976 | | |
|
Income taxes payable
|
| | | | — | | | | | | — | | | | | | 2,077 | | | | | | 290 | | | | | | — | | | | | | — | | | | | | — | | | | | | — | | |
|
Total current liabilities
|
| | | | 7,379,407 | | | | | | 8,591,413 | | | | | | 542,489 | | | | | | 75,729 | | | | | | 601,280 | | | | | | 83,936 | | | | | | 683,901 | | | | | | 95,469 | | |
|
Net current (liabilities)/assets
|
| | | | (2,305,934) | | | | | | (3,221,390) | | | | | | 6,745,506 | | | | | | 941,636 | | | | | | 6,033,877 | | | | | | 842,297 | | | | | | 5,848,824 | | | | | | 816,464 | | |
| | | |
As of December 31,
|
| |
As of June 30,
|
| ||||||||||||||||||||||||||||||
| | | |
2022
|
| |
2023
|
| |
2024
|
| |
2025
|
| ||||||||||||||||||||||||
| | | |
RMB
|
| |
RMB
|
| |
RMB
|
| |
US$
|
| |
RMB
|
| |
US$
|
| ||||||||||||||||||
| | | |
(in thousands)
|
| |||||||||||||||||||||||||||||||||
|
Within 1 year
|
| | | | 11,505 | | | | | | 16,962 | | | | | | 20,713 | | | | | | 2,891 | | | | | | 47,117 | | | | | | 6,577 | | |
| | | |
Year Ended December 31,
|
| |
Six Months
Ended June 30, |
| ||||||||||||||||||
| | | |
2022
|
| |
2023
|
| |
2024
|
| |
2025
|
| ||||||||||||
|
Trade payables turnover days(1)
|
| | | | 17 | | | | | | 24 | | | | | | 27 | | | | | | 31 | | |
| | | |
As of December 31,
|
| |
As of June 30,
|
| ||||||||||||||||||||||||||||||
| | | |
2022
|
| |
2023
|
| |
2024
|
| |
2025
|
| ||||||||||||||||||||||||
| | | |
RMB
|
| |
RMB
|
| |
RMB
|
| |
US$
|
| |
RMB
|
| |
US$
|
| ||||||||||||||||||
| | | |
(in thousands)
|
| |||||||||||||||||||||||||||||||||
|
Within 1 year
|
| | | | 242,168 | | | | | | 182,978 | | | | | | 179,986 | | | | | | 25,125 | | | | | | 175,043 | | | | | | 24,435 | | |
|
Over 1 year
|
| | | | 4,526 | | | | | | 119,504 | | | | | | 138,058 | | | | | | 19,272 | | | | | | 129,718 | | | | | | 18,108 | | |
| Total | | | | | 246,694 | | | | | | 302,482 | | | | | | 318,044 | | | | | | 44,397 | | | | | | 304,761 | | | | | | 42,543 | | |
| | | |
Year Ended December 31,
|
| |
Six Months
Ended June 30, |
| ||||||||||||||||||
| | | |
2022
|
| |
2023
|
| |
2024
|
| |
2025
|
| ||||||||||||
|
Trade receivables turnover days(1)
|
| | | | 96 | | | | | | 249 | | | | | | 314 | | | | | | 281 | | |
| | | |
As of December 31,
|
| |
As of June 30,
|
| ||||||||||||||||||||||||||||||
| | | |
2022
|
| |
2023
|
| |
2024
|
| |
2025
|
| ||||||||||||||||||||||||
| | | |
RMB
|
| |
RMB
|
| |
RMB
|
| |
US$
|
| |
RMB
|
| |
US$
|
| ||||||||||||||||||
| | | |
(in thousands)
|
| |||||||||||||||||||||||||||||||||
|
Production supplies
|
| | | | 49,024 | | | | | | 58,151 | | | | | | 76,961 | | | | | | 10,743 | | | | | | 73,047 | | | | | | 10,197 | | |
|
Work in progress(1)
|
| | | | 106,981 | | | | | | 160,069 | | | | | | 127,744 | | | | | | 17,833 | | | | | | 216,882 | | | | | | 30,276 | | |
| Total | | | | | 156,005 | | | | | | 218,220 | | | | | | 204,705 | | | | | | 28,576 | | | | | | 289,929 | | | | | | 40,473 | | |
| | | |
Year Ended December 31,
|
| |
Six Months
Ended June 30, |
| ||||||||||||||||||
| | | |
2022
|
| |
2023
|
| |
2024
|
| |
2025
|
| ||||||||||||
|
Inventory turnover days(1)
|
| | | | 167 | | | | | | 313 | | | | | | 308 | | | | | | 321 | | |
| | | |
As of December 31,
|
| |
As of June 30,
|
| ||||||||||||||||||||||||||||||
| | | |
2022
|
| |
2023
|
| |
2024
|
| |
2025
|
| ||||||||||||||||||||||||
| | | |
RMB
|
| |
RMB
|
| |
RMB
|
| |
US$
|
| |
RMB
|
| |
US$
|
| ||||||||||||||||||
| | | |
(in thousands)
|
| |||||||||||||||||||||||||||||||||
|
Government grants received with
conditions(1) |
| | | | 139,110 | | | | | | 176,426 | | | | | | 184,542 | | | | | | 25,761 | | | | | | 187,242 | | | | | | 26,138 | | |
|
Accrued payroll and social insurance
|
| | | | 56,879 | | | | | | 55,818 | | | | | | 96,593 | | | | | | 13,484 | | | | | | 76,510 | | | | | | 10,680 | | |
|
Payables for professional services
|
| | | | 5,674 | | | | | | 4,470 | | | | | | 27,134 | | | | | | 3,788 | | | | | | 33,970 | | | | | | 4,742 | | |
|
Taxes payable and others
|
| | | | 15,532 | | | | | | 34,592 | | | | | | 89,486 | | | | | | 12,493 | | | | | | 33,126 | | | | | | 4,625 | | |
| Total | | | | | 217,195 | | | | | | 271,306 | | | | | | 397,755 | | | | | | 55,526 | | | | | | 330,848 | | | | | | 46,185 | | |
| | | |
For the Year Ended December 31,
|
| |
For the Six Months Ended June 30,
|
| ||||||||||||||||||||||||||||||||||||
| | | |
2022
|
| |
2023
|
| |
2024
|
| |
2024
|
| |
2025
|
| |||||||||||||||||||||||||||
| | | |
RMB
|
| |
RMB
|
| |
RMB
|
| |
US$
|
| |
RMB
|
| |
RMB
|
| |
US$
|
| |||||||||||||||||||||
| | | |
(in thousands)
|
| |||||||||||||||||||||||||||||||||||||||
|
Net cash used in operating activities
|
| | | | (670,381) | | | | | | (474,890) | | | | | | (593,595) | | | | | | (82,863) | | | | | | (327,180) | | | | | | (663,396) | | | | | | (92,606) | | |
|
Net cash (used in)/generated from investing activities
|
| | | | (2,202,414) | | | | | | (546,944) | | | | | | 325,505 | | | | | | 45,439 | | | | | | 453,236 | | | | | | 218,699 | | | | | | 30,529 | | |
|
Net cash generated from/
(used in) financing activities |
| | | | 2,184,588 | | | | | | 446,954 | | | | | | 2,823,875 | | | | | | 394,198 | | | | | | (8,877) | | | | | | 3,899 | | | | | | 544 | | |
|
Net (decrease)/increase in cash and cash equivalents
|
| | | | (688,207) | | | | | | (574,880) | | | | | | 2,555,785 | | | | | | 356,774 | | | | | | 117,179 | | | | | | (440,798) | | | | | | (61,533) | | |
|
Cash and cash equivalents as of January 1
|
| | | | 2,725,568 | | | | | | 2,233,691 | | | | | | 1,661,152 | | | | | | 231,888 | | | | | | 1,661,152 | | | | | | 4,268,300 | | | | | | 595,832 | | |
|
Effect of foreign exchange rate changes
|
| | | | 196,330 | | | | | | 2,341 | | | | | | 51,363 | | | | | | 7,170 | | | | | | 50,612 | | | | | | 8,635 | | | | | | 1,205 | | |
|
Cash and cash equivalents at the
end of the year/period |
| | | | 2,233,691 | | | | | | 1,661,152 | | | | | | 4,268,300 | | | | | | 595,832 | | | | | | 1,828,943 | | | | | | 3,836,137 | | | | | | 535,504 | | |
| | | | | | | | | |
Payment Due by Period
|
| |||||||||||||||
| | | |
Total
|
| |
Less Than 1
year |
| |
1–2 Years
|
| |
2–5 Years
|
| ||||||||||||
| | | |
(RMB in thousands)
|
| |||||||||||||||||||||
|
Operating lease commitment
|
| | | | 59,385 | | | | | | 35,899 | | | | | | 14,428 | | | | | | 9,058 | | |
| | | |
Year Ended December 31,
|
| |
Six Months Ended June 30,
|
| ||||||||||||||||||||||||||||||||||||
| | | |
2022
|
| |
2023
|
| |
2024
|
| |
2024
|
| |
2025
|
| |||||||||||||||||||||||||||
| | | |
RMB
|
| |
RMB
|
| |
RMB
|
| |
US$
|
| |
RMB
|
| |
RMB
|
| |
US$
|
| |||||||||||||||||||||
| | | |
(in thousands)
|
| |||||||||||||||||||||||||||||||||||||||
|
Personnel-related expenses(1)
|
| | | | 471,217 | | | | | | 566,735 | | | | | | 725,604 | | | | | | 101,290 | | | | | | 324,556 | | | | | | 453,548 | | | | | | 63,313 | | |
|
Direct service and production costs, including materials(2)
|
| | | | 260,165 | | | | | | 127,462 | | | | | | 193,345 | | | | | | 26,990 | | | | | | (54,064) | | | | | | 22,170 | | | | | | 3,095 | | |
| R&D(3) | | | | | 116,138 | | | | | | 148,234 | | | | | | 234,773 | | | | | | 32,773 | | | | | | 78,858 | | | | | | 151,210 | | | | | | 21,108 | | |
|
Product/servicing marketing(4)
|
| | | | 6,697 | | | | | | 6,466 | | | | | | 16,340 | | | | | | 2,281 | | | | | | 5,233 | | | | | | 9,310 | | | | | | 1,300 | | |
|
Non-income taxes, royalties and
other governmental charges |
| | | | 136 | | | | | | 4,619 | | | | | | 1,107 | | | | | | 155 | | | | | | 1,768 | | | | | | 929 | | | | | | 130 | | |
| Total | | | | | 854,353 | | | | | | 853,516 | | | | | | 1,171,169 | | | | | | 163,489 | | | | | | 356,351 | | | | | | 637,167 | | | | | | 88,946 | | |
| | | |
As of December 31,
|
| |
As of June 30,
|
| |
As of August 31,
|
| |||||||||||||||||||||||||||||||||||||||
| | | |
2022
|
| |
2023
|
| |
2024
|
| |
2025
|
| |
2025
|
| |||||||||||||||||||||||||||||||||
| | | |
RMB
|
| |
RMB
|
| |
RMB
|
| |
US$
|
| |
RMB
|
| |
US$
|
| |
RMB
|
| |
US$
|
| ||||||||||||||||||||||||
| | | |
(in thousands)
|
| | | | | | | | | | | | | |||||||||||||||||||||||||||||||||
| Current liabilities: | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | ||||||||||
|
Preferred shares and other financial instruments subject to redemption and other preferential rights(1)
|
| | | | 7,017,554 | | | | | | 8,181,722 | | | | | | — | | | | | | — | | | | | | — | | | | | | — | | | | | | — | | | | | | — | | |
|
Lease liabilities–current
|
| | | | 32,009 | | | | | | 31,098 | | | | | | 36,900 | | | | | | 5,151 | | | | | | 34,386 | | | | | | 4,800 | | | | | | 35,367 | | | | | | 4,937 | | |
|
Put option liabilities–current(2)
|
| | | | — | | | | | | — | | | | | | 41,099 | | | | | | 5,737 | | | | | | 41,424 | | | | | | 5,783 | | | | | | 41,536 | | | | | | 5,798 | | |
|
Short-term bank loans
|
| | | | — | | | | | | — | | | | | | 30,019 | | | | | | 4,190 | | | | | | 102,275 | | | | | | 14,277 | | | | | | 200,408 | | | | | | 27,976 | | |
| Non-current liabilities: | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
|
Lease liabilities–non-current
|
| | | | 35,864 | | | | | | 22,309 | | | | | | 26,059 | | | | | | 3,638 | | | | | | 21,198 | | | | | | 2,959 | | | | | | 23,418 | | | | | | 3,269 | | |
|
Put option liabilities–non-current(2)
|
| | | | 39,812 | | | | | | 40,449 | | | | | | — | | | | | | — | | | | | | — | | | | | | — | | | | | ||||||||||
|
Long-term bank loan
|
| | | | — | | | | | | — | | | | | | 50,040 | | | | | | 6,985 | | | | | | 47,534 | | | | | | 6,635 | | | | | | 47,772 | | | | | | 6,669 | | |
| Total | | | | | 7,125,239 | | | | | | 8,275,578 | | | | | | 184,117 | | | | | | 25,701 | | | | | | 246,817 | | | | | | 34,454 | | | | | | 348,501 | | | | | | 48,649 | | |
| | | |
As of December 31,
|
| |
As of June 30,
|
| |
As of August 31,
|
| |||||||||||||||||||||||||||||||||||||||
| | | |
2022
|
| |
2023
|
| |
2024
|
| |
2025
|
| |
2025
|
| |||||||||||||||||||||||||||||||||
| | | |
RMB
|
| |
RMB
|
| |
RMB
|
| |
US$
|
| |
RMB
|
| |
US$
|
| |
RMB
|
| |
US$
|
| ||||||||||||||||||||||||
| | | |
(in thousands)
|
| | | | ||||||||||||||||||||||||||||||||||||||||||
| Bank loans | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | ||||||||||
|
Secured and unguaranteed
|
| | | | — | | | | | | — | | | | | | 50,040 | | | | | | 6,985 | | | | | | 87,554 | | | | | | 12,222 | | | | | | 117,871 | | | | | | 16,455 | | |
|
Unsecured and unguaranteed
|
| | | | — | | | | | | — | | | | | | 30,019 | | | | | | 4,190 | | | | | | 62,255 | | | | | | 8,690 | | | | | | 130,309 | | | | | | 18,190 | | |
| Total | | | | | — | | | | | | — | | | | | | 80,059 | | | | | | 11,175 | | | | | | 149,809 | | | | | | 20,912 | | | | | | 248,180 | | | | | | 34,645 | | |
| | | |
As of December 31,
|
| |
As of June 30,
|
| |
As of August 31,
|
| |||||||||||||||||||||||||||||||||||||||
| | | |
2022
|
| |
2023
|
| |
2024
|
| |
2025
|
| |
2025
|
| |||||||||||||||||||||||||||||||||
| | | |
RMB
|
| |
RMB
|
| |
RMB
|
| |
US$
|
| |
RMB
|
| |
US$
|
| |
RMB
|
| |
US$
|
| ||||||||||||||||||||||||
| | | |
(in thousands)
|
| |||||||||||||||||||||||||||||||||||||||||||||
|
Within 1 year
|
| | | | 32,009 | | | | | | 31,098 | | | | | | 36,900 | | | | | | 5,151 | | | | | | 34,386 | | | | | | 4,800 | | | | | | 35,367 | | | | | | 4,937 | | |
|
After 1 year but within 2 years
|
| | | | 20,626 | | | | | | 15,658 | | | | | | 20,883 | | | | | | 2,915 | | | | | | 13,237 | | | | | | 1,848 | | | | | | 13,068 | | | | | | 1,824 | | |
|
After 2 years but within 5 years
|
| | | | 15,238 | | | | | | 6,651 | | | | | | 5,176 | | | | | | 723 | | | | | | 7,961 | | | | | | 1,111 | | | | | | 10,350 | | | | | | 1,445 | | |
| | | | | | 67,873 | | | | | | 53,407 | | | | | | 62,959 | | | | | | 8,789 | | | | | | 55,584 | | | | | | 7,759 | | | | | | 58,785 | | | | | | 8,206 | | |
| | | |
As of/Year Ended December 31,
|
| |
As of/Six
Months Ended June 30, |
| ||||||||||||||||||
| | | |
2022
|
| |
2023
|
| |
2024
|
| |
2025
|
| ||||||||||||
|
Gross margin
|
| | | | 44.1% | | | | | | 45.7% | | | | | | 30.7% | | | | | | 30.6% | | |
|
R&D expenditure ratio(1)
|
| | | | 74.5% | | | | | | 61.3% | | | | | | 47.8% | | | | | | 67.8% | | |
|
Current ratio(2)
|
| | | | 0.69 | | | | | | 0.63 | | | | | | 13.43 | | | | | | 11.04 | | |
| | | |
Year Ended December 31,
|
| |
Six Months Ended June 30,
|
| ||||||||||||||||||||||||||||||||||||
| | | |
2022
|
| |
2023
|
| |
2024
|
| |
2024
|
| |
2025
|
| |||||||||||||||||||||||||||
| | | |
RMB
|
| |
RMB
|
| |
RMB
|
| |
US$
|
| |
RMB
|
| |
RMB
|
| |
US$
|
| |||||||||||||||||||||
| | | | | | | | | | | | | | | | | | | | | |
(in thousands)
|
| | | | | | | | | | | | | | | | | | | |||
|
Research and development expenses
|
| | | | 758,565 | | | | | | 1,058,395 | | | | | | 1,091,357 | | | | | | 152,348 | | | | | | 517,210 | | | | | | 644,635 | | | | | | 89,988 | | |
| Adjustments: | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
|
Add: Intangible assets acquired
from third parties |
| | | | 2,243 | | | | | | 127 | | | | | | 1,504 | | | | | | 210 | | | | | | — | | | | | | 117 | | | | | | 16 | | |
|
Less: Amortization expense of intangible assets included in R&D expenses
|
| | | | (283) | | | | | | (281) | | | | | | (300) | | | | | | (42) | | | | | | (144) | | | | | | (220) | | | | | | (31) | | |
|
R&D expenditure
|
| | | | 760,525 | | | | | | 1,058,241 | | | | | | 1,092,561 | | | | | | 152,516 | | | | | | 517,066 | | | | | | 644,532 | | | | | | 89,973 | | |
|
Total R&D expenditure
|
| | | | | | | | | | | | | | | | 2,911,327(1) | | | | | | 406,406 | | | | | | | | | | | | 3,555,859(2) | | | | | | 496,379 | | |
| | | |
Year Ended December 31,
|
| |
Six Months Ended June 30,
|
| ||||||||||||||||||||||||||||||||||||
| | | |
2022
|
| |
2023
|
| |
2024
|
| |
2024
|
| |
2025
|
| |||||||||||||||||||||||||||
| | | |
RMB
|
| |
RMB
|
| |
RMB
|
| |
US$
|
| |
RMB
|
| |
RMB
|
| |
US$
|
| |||||||||||||||||||||
| | | | | | | | | | | | | | | | | | | | | |
(in thousands)
|
| | | | | | | | | | | | | | | | | | | |||
|
Research and development expenses
|
| | | | 758,565 | | | | | | 1,058,395 | | | | | | 1,091,357 | | | | | | 152,348 | | | | | | 517,210 | | | | | | 644,635 | | | | | | 89,988 | | |
|
Administrative expenses
|
| | | | 237,236 | | | | | | 625,369 | | | | | | 1,138,802 | | | | | | 158,970 | | | | | | 208,293 | | | | | | 278,942 | | | | | | 38,939 | | |
|
Selling expenses
|
| | | | 23,574 | | | | | | 41,447 | | | | | | 53,566 | | | | | | 7,478 | | | | | | 22,784 | | | | | | 27,780 | | | | | | 3,878 | | |
| Adjustments: | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
|
Add: Intangible assets
acquired from third parties and capitalized in R&D software |
| | | | 2,243 | | | | | | 127 | | | | | | 1,504 | | | | | | 210 | | | | | | — | | | | | | 117 | | | | | | 16 | | |
|
Less: Amortization expense of
intangible assets included in R&D expenses |
| | | | (283) | | | | | | (281) | | | | | | (300) | | | | | | (42) | | | | | | (144) | | | | | | (220) | | | | | | (31) | | |
|
Total operating expenditure
|
| | | | 1,021,335 | | | | | | 1,725,057 | | | | | | 2,284,929 | | | | | | 318,964 | | | | | | 748,143 | | | | | | 951,254 | | | | | | 32,790 | | |
|
Total operating expenditure(1)
|
| | | | | | | | | | | | | | | | 5,031,321(2) | | | | | | 702,345 | | | | | | | | | | | | 5,982,575(3) | | | | | | 835,135 | | |
| | | |
Year Ended December 31,
|
| |
Six Months Ended June 30,
|
| ||||||||||||||||||||||||
| | | |
2022
|
| |
2023
|
| |
2024
|
| |
2024
|
| |
2025
|
| |||||||||||||||
|
R&D expenditure ratio(1)
|
| | | | 74.5% | | | | | | 61.3% | | | | | | 47.8% | | | | | | 69.1% | | | | | | 67.8% | | |
|
Total R&D expenditure ratio
|
| | | | | | | | | | | | | | | | 57.9%(2) | | | | | | | | | | | | 59.4%(3) | | |
| | | |
Year Ended December 31,
|
| |
Six Months Ended June 30,
|
| ||||||||||||||||||||||||||||||||||||
| | | |
2022
|
| |
2023
|
| |
2024
|
| |
2024
|
| |
2025
|
| |||||||||||||||||||||||||||
| | | |
RMB
|
| |
RMB
|
| |
RMB
|
| |
US$
|
| |
RMB
|
| |
RMB
|
| |
US$
|
| |||||||||||||||||||||
| | | |
(in thousands)
|
| |||||||||||||||||||||||||||||||||||||||
|
Purchase of property and equipment
|
| | | | (80,812) | | | | | | (36,650) | | | | | | (84,004) | | | | | | (11,726) | | | | | | (33,272) | | | | | | (134,354) | | | | | | (18,755) | | |
|
Purchase of intangible assets
|
| | | | (1,881) | | | | | | (304) | | | | | | (1,504) | | | | | | (210) | | | | | | — | | | | | | (117) | | | | | | (16) | | |
| Total | | | | | (82,693) | | | | | | (36,954) | | | | | | (85,508) | | | | | | (11,936) | | | | | | (33,272) | | | | | | (134,471) | | | | | | (18,771) | | |
|
Ranking
|
| |
Company
|
| |
Market share in terms of
revenue |
|
| | | | | | |
(%)
|
|
|
1
|
| |
Company A(1)
|
| |
~37
|
|
|
2
|
| | WeRide | | |
~22
|
|
|
3
|
| |
Company B(2)
|
| |
~10
|
|
|
4
|
| |
Company C(3)
|
| |
~7
|
|
|
5
|
| |
Company D(4)
|
| |
~6
|
|
|
Company
|
| |
OEM
Partners |
| |
Operation
Partners |
| |
Ride-sharing
Platforms |
| |
End
Users |
| ||||||||||||
|
WeRide
|
| | | | √ | | | | | | √ | | | | | | √ | | | | | | √ | | |
|
Company E(1)
|
| | | | √ | | | | | | X | | | | | | √ | | | | | | √ | | |
|
Company A(2)
|
| | | | √ | | | | | | √ | | | | | | √ | | | | | | √ | | |
|
Company D(3)
|
| | | | √ | | | | | | X | | | | | | X | | | | | | √ | | |
| | | |
WeRide
|
| |
Company E(1)
|
| |
Company A(2)
|
| |
Company D(3)
|
|
|
Offerings
|
| |
•
Robotaxi
•
Robobus
•
Robovan
•
Robosweeper
•
ADAS
|
| |
•
Robotaxi
•
Robotruck
•
ADAS
|
| |
•
Robotaxi
•
Robo logistics vehicle
|
| |
•
Robotaxi
|
|
|
Fleet size (robotaxi)*
|
| | ~400 | | | ~250 | | | ~700 | | | ~2,300 | |
|
Countries for operation (robotaxi)**
|
| | 4 | | | 1 | | | 1 | | | 1 | |
|
Cities for operation (robotaxi)**
|
| | 5 | | | 4 | | | 3 | | | 16 | |
|
Start of public robotaxi operation
|
| | 2019 | | | 2021 | | | 2020 | | | 2021 | |
|
No regulatory discipline**
|
| | √ | | | X | | | √ | | | X | |
|
Market share in terms of international robotaxi revenue, %, 2024***
|
| | ~10 | | | ~2 | | | ~88 | | | ~0 | |
|
Ranking
|
| |
Company
|
| |
Market share in
terms of revenue |
|
| | | | | | |
(%)
|
|
|
1
|
| | WeRide | | |
~36
|
|
|
2
|
| |
Company F(1)
|
| |
~32
|
|
|
3
|
| |
Company G(2)
|
| |
~14
|
|
|
Ranking
|
| |
Company
|
| |
Market share in
terms of revenue |
|
| | | | | | |
(%)
|
|
|
1
|
| |
Company B(1)
|
| |
~62
|
|
|
2
|
| |
Company H(2)
|
| |
~26
|
|
|
3
|
| | WeRide | | |
~9
|
|
|
4
|
| |
Company I(3)
|
| |
~1
|
|
|
Ranking
|
| |
Company
|
| |
Market share
|
|
| | | | | | |
(%)
|
|
|
1
|
| |
Company C(1)
|
| |
~41
|
|
|
2
|
| | WeRide | | |
~32
|
|
|
3
|
| |
Company J(2)
|
| |
~27
|
|
| |
|
| |
|
|
| |
Robotaxi GXR (Geely Farizon model)
|
| |
Robotaxi (Nissan model)
|
|
| |
|
| |
|
|
| |
Robobus (Yutong model)
|
| |
Robobus (Golden Dragon model)
|
|
| |
|
| |
|
|
| |
Robovan (JMC-Ford model)
|
| |
Robovan W5
|
|
| |
Robosweeper S1
|
| |
Robosweeper S6
|
|
|
Metrics (Cumulative)
|
| |
As of December 31,
|
| |
As of June 30,
|
| ||||||||||||||||||||||||
| | | |
2022
|
| |
2023
|
| |
2024
|
| |
2024
|
| |
2025
|
| |||||||||||||||
|
Countries with testing and commercial activities
|
| | | | 5 | | | | | | 5 | | | | | | 8 | | | | | | 7 | | | | | | 10 | | |
|
Countries with testing activities(1)
|
| | | | 4 | | | | | | 4 | | | | | | 8 | | | | | | 7 | | | | | | 9 | | |
|
Robotaxi
|
| | | | 2 | | | | | | 2 | | | | | | 4 | | | | | | 3 | | | | | | 4 | | |
|
Robobus
|
| | | | 4 | | | | | | 4 | | | | | | 8 | | | | | | 7 | | | | | | 9 | | |
|
Robosweeper
|
| | | | 1 | | | | | | 1 | | | | | | 3 | | | | | | 3 | | | | | | 4 | | |
|
Robovan
|
| | | | 1 | | | | | | 1 | | | | | | 1 | | | | | | 1 | | | | | | 1 | | |
|
Countries with commercial activities(1)(2)
|
| | | | 2 | | | | | | 2 | | | | | | 5 | | | | | | 3 | | | | | | 7 | | |
|
Robotaxi
|
| | | | 2 | | | | | | 2 | | | | | | 3 | | | | | | 2 | | | | | | 4 | | |
|
Robobus
|
| | | | 2 | | | | | | 2 | | | | | | 4 | | | | | | 3 | | | | | | 7 | | |
|
Robosweeper
|
| | | | 1 | | | | | | 1 | | | | | | 3 | | | | | | 1 | | | | | | 3 | | |
|
Robovan
|
| | | | 1 | | | | | | 1 | | | | | | 1 | | | | | | 1 | | | | | | 1 | | |
|
Countries where we hold autonomous driving permits(1)
|
| | | | 2 | | | | | | 4 | | | | | | 4 | | | | | | 4 | | | | | | 5 | | |
|
Fleet size(3) of vehicles sold
|
| | | | 156 | | | | | | 178 | | | | | | 269 | | | | | | 191 | | | | | | 341 | | |
|
Fleet size of self-operated vehicles
|
| | | | 383 | | | | | | 476 | | | | | | 820 | | | | | | 614 | | | | | | 973 | | |
|
Metrics (During Year or Period)
|
| |
For the Year Ended
December 31, |
| |
For the Six Months
Ended June 30, |
| ||||||||||||||||||||||||
| | | |
2022
|
| |
2023
|
| |
2024
|
| |
2024
|
| |
2025
|
| |||||||||||||||
|
Number of business customers
|
| | | | 21 | | | | | | 36 | | | | | | 91 | | | | | | 42 | | | | | | 75 | | |
|
Number of new business customers
|
| | | | 14 | | | | | | 25 | | | | | | 70 | | | | | | 21 | | | | | | 39 | | |
|
Specialist Technology Products
|
| |
Use Case
|
| |
Launch
|
| |
Start of
Commercial Activities |
| ||||||
|
L4 Autonomous Driving Vehicles and Related Services
|
| |
Robotaxi
|
| | | | 2017 | | | | | | 2019 | | |
| | | |
Robobus
|
| | | | 2020 | | | | | | 2021 | | |
| | | |
Robosweeper
|
| | | | 2022 | | | | | | 2022 | | |
| | | |
Robovan
|
| | | | 2021 | | | | | | 2023 | | |
|
Specialist Technology Products
|
| |
Launch
of Pilot Project |
| |
Start of
Revenue Generation |
| ||||||
|
Other Technology Services
|
| | | | 2019 | | | | | | 2020 | | |
| |
|
| |
|
|
|
Rank
|
| |
Customer
|
| |
Revenue
amount |
| |
Percentage
of total revenue |
| |
Business
relationship since |
| |
Products/Services Provided
|
| |
Customer background
|
|
| | | | | | |
(RMB in
thousands) |
| | | | | | | | | | | | |
|
1
|
| |
Customer A
|
| |
155,933
|
| |
29.6%
|
| |
2022
|
| | ADAS research and development services | | | A company in China mainly engaged in automobile parts and system research, development and manufacturing, which is a subsidiary of a leading multinational engineering and technology company headquartered in Germany | |
|
2
|
| |
Customer B
|
| |
93,596
|
| |
17.7%
|
| |
2022
|
| | Operational and technical support services | | | A state-owned enterprise in China mainly engaged in public transportation services | |
|
3
|
| |
Customer C
|
| |
64,562
|
| |
12.2%
|
| |
2022
|
| | Robobus; Operational and technical support services | | | A state-owned enterprise in China mainly engaged in the sales of new energy vehicle and related technology research and service | |
|
4
|
| |
Customer D(1)
|
| |
57,047
|
| |
10.8%
|
| |
2021
|
| | Robobus; Operational and technical support services | | | A state-owned enterprise in China mainly engaged in public transportation services | |
|
5
|
| |
Yutong Group(2)
|
| |
44,530
|
| |
8.4%
|
| |
2020
|
| | Robobus; Operational and technical support services | | | A large commercial vehicle group in China with products covering buses, trucks, construction machinery, special purpose vehicles and sanitation equipment | |
| | | |
Total
|
| |
415,668
|
| |
78.8%
|
| | | | | | | | | |
|
Rank
|
| |
Customer
|
| |
Revenue
amount |
| |
Percentage of
total revenue |
| |
Business
relationship since |
| |
Products/Services Provided
|
| |
Customer background
|
|
| | | | | | |
(RMB in
thousands) |
| | | | | | | | | | | | |
|
1
|
| |
Customer A
|
| |
222,292
|
| |
55.3%
|
| |
2022
|
| | ADAS research and development services | | | A company in China mainly engaged in automobile parts and system research, development and manufacturing, which is a subsidiary of a leading multinational engineering and technology company headquartered in Germany | |
|
2
|
| |
Yutong Group(3)
|
| |
29,098
|
| |
7.2%
|
| |
2020
|
| | Robobus; Operational and technical support services | | | A large commercial vehicle group in China with products covering buses, trucks, construction machinery, special purpose vehicles and sanitation equipment | |
|
3
|
| |
Customer E
|
| |
23,832
|
| |
5.9%
|
| |
2021
|
| | Robobus; Operational and technical support services | | | A private company in the United Arab Emirates mainly engaged in AI powered geospatial solutions, digital transformation and business solutions service | |
|
4
|
| |
Customer F(4)
|
| |
19,408
|
| |
4.8%
|
| |
2019
|
| | Operational and technical support services | | | A company in China mainly engaged in automobile research and development and related technology consultation and service, which is a subsidiary of a Japanese multinational automobile manufacturer | |
|
5
|
| |
Customer G
|
| |
13,003
|
| |
3.2%
|
| |
2023
|
| | Robobus; Operational and technical support services | | | A state-owned enterprise in China mainly engaged in public transportation services | |
| | | |
Total
|
| |
307,633
|
| |
76.6%
|
| | | | | | | | | |
|
Rank
|
| |
Customer
|
| |
Revenue
amount |
| |
Percentage of
total revenue |
| |
Business
relationship since |
| |
Products/Services Provided
|
| |
Customer background
|
|
| | | | | | |
(RMB in
thousands) |
| | | | | | | | | | | | |
|
1
|
| |
Customer A
|
| |
88,220
|
| |
24.4%
|
| |
2022
|
| | ADAS research and development services | | | A company in China mainly engaged in automobile parts and system research, development and manufacturing, which is a subsidiary of a leading multinational engineering and technology company headquartered in Germany | |
|
2
|
| |
Customer H
|
| |
25,781
|
| |
7.1%
|
| |
2024
|
| | Intelligent data service | | | A subsidiary of a China’s leading technology and internet company | |
|
3
|
| |
Customer I(1)
|
| |
23,602
|
| |
6.5%
|
| |
2024
|
| | Operational and technical support services | | | A branch of a state-owned enterprise in China mainly engaged in public transportation services | |
|
4
|
| |
Customer F(4)
|
| |
17,893
|
| |
5.0%
|
| |
2019
|
| | Related sensor suites; operational and technical support services | | | A company in China mainly engaged in automobile research and development and related technology consultation and service, which is a subsidiary of a Japanese multinational automobile manufacturer | |
|
5
|
| |
Customer J
|
| |
13,837
|
| |
3.8%
|
| |
2024
|
| | Robotaxi | | | A subsidiary of a multinational marketplace company in the mobility and delivery sector | |
| | | |
Total
|
| |
169,333
|
| |
46.8%
|
| | | | | | | | | |
|
Rank
|
| |
Customer
|
| |
Revenue
amount |
| |
Percentage of
total revenue |
| |
Business
relationship since |
| |
Products/ Services Provided
|
| |
Customer background
|
|
| | | | | | |
(RMB in
thousands) |
| | | | | | | | | | | | |
|
1
|
| |
Customer H
|
| |
33,050
|
| |
16.6%
|
| |
2024
|
| | Intelligent data service | | | A subsidiary of a China’s leading technology and internet company | |
|
2
|
| |
Customer J
|
| |
25,784
|
| |
12.9%
|
| |
2024
|
| | Robotaxi | | | A subsidiary of a multinational marketplace company in the mobility and delivery sector | |
|
Rank
|
| |
Customer
|
| |
Revenue
amount |
| |
Percentage of
total revenue |
| |
Business
relationship since |
| |
Products/ Services Provided
|
| |
Customer background
|
|
| | | | | | |
(RMB in
thousands) |
| | | | | | | | | | | | |
|
3
|
| |
Customer K
|
| |
14,477
|
| |
7.3%
|
| |
2024
|
| | Intelligent data service | | | The operator of a leading lifestyle platform in China that combines user-generated content with social commerce management | |
|
4
|
| |
Customer L
|
| |
13,388
|
| |
6.7%
|
| |
2025
|
| | Robotaxi | | | A leading Chinese automative manufacturer listed on the Stock Exchange, specializing in the development, production, and sales of passenger vehicles | |
|
5.
|
| |
Customer M
|
| |
9,737
|
| |
4.9%
|
| |
2024
|
| | Robosweeper & robobus | | | A state-owned company in China mainly engaged in municipal management such as environmental sanitation and landscaping management | |
| | | |
Total
|
| |
96,436
|
| |
48.4%
|
| | | | | | | | | |
| | |||||||||||||||||||
|
Rank
|
| |
Supplier
|
| |
Purchase
amount |
| |
Percentage
of total purchase(1) |
| |
Business
relationship since |
| |
Products/Services Purchased
|
| |
Supplier background
|
|
| | | | | | |
(RMB in
thousands) |
| | | | | | | | | | | | |
|
1
|
| |
Yutong Group(2)
|
| |
168,862
|
| |
26.8%
|
| |
2021
|
| | Vehicles | | | A large commercial vehicle group in China with products covering buses, trucks, construction machinery, special purpose vehicles and sanitation equipment, with two subsidiaries listed on Shanghai Stock Exchange | |
|
2
|
| |
Guangzhou Yuji
Technology Co., Ltd.(3) |
| |
30,274
|
| |
4.8%
|
| |
2021
|
| | Data collection, labeling and compliance services | | | A private company in China mainly engaged in technology consulting and services, computer and communication equipment leasing | |
|
3
|
| |
Supplier A(4)
|
| |
22,700
|
| |
3.6%
|
| |
2019
|
| | Vehicles | | | A private company in China mainly engaged in taxi operation, sales of battery and new energy vehicles parts | |
|
4
|
| |
Supplier B
|
| |
20,011
|
| |
3.2%
|
| |
2019
|
| | Computing server | | | A company in China mainly engaged in research and development, manufacturing of HPC, AI servers and intelligent manufacturing products, and related service, which is a subsidiary of an advanced computing solutions designer and provider listed on Taiwan Stock Exchange | |
|
5
|
| |
Supplier C
|
| |
19,228
|
| |
3.0%
|
| |
2019
|
| | Sensor suites parts | | | A Nasdaq-listed company in China mainly engaged in research, development and sales of LiDAR products | |
| | | |
Total
|
| |
261,075
|
| |
41.4%
|
| | | | | | | | | |
|
Rank
|
| |
Supplier
|
| |
Purchase
amount |
| |
Percentage
of total purchase(1) |
| |
Business
relationship since |
| |
Products/Services Purchased
|
| |
Supplier background
|
|
| | | | | | |
(RMB in
thousands) |
| | | | | | | | | | | | |
|
1
|
| |
Guangzhou Yuji
Technology Co., Ltd.(3) |
| |
111,532
|
| |
21.4%
|
| |
2021
|
| | Data collection, labeling and compliance services | | | A private company in China mainly engaged in technology consulting and services, computer and communication equipment leasing | |
|
2
|
| |
Supplier C
|
| |
46,148
|
| |
8.9%
|
| |
2019
|
| | Sensor suites parts | | | A Nasdaq-listed company in China mainly engaged in research, development and sales of LiDAR products | |
|
3
|
| |
Supplier A(4)
|
| |
19,643
|
| |
3.8%
|
| |
2019
|
| | Vehicles | | | A private company in China mainly engaged in taxi operation, sales of battery and new energy vehicles parts | |
|
4
|
| |
Yutong Group(5)
|
| |
18,377
|
| |
3.5%
|
| |
2021
|
| | Vehicles | | | A large commercial vehicle group in China with products covering buses, trucks, construction machinery, special purpose vehicles and sanitation equipment, with two subsidiaries listed on Shanghai Stock Exchange | |
|
5
|
| |
Supplier D
|
| |
14,433
|
| |
2.8%
|
| |
2023
|
| | Vehicles | | | A company integrating bus product research and development, manufacturing and sales, which is a subsidiary of a leading bus manufacturer in China listed on Shanghai Stock Exchange | |
| | | |
Total
|
| |
210,134
|
| |
40.4%
|
| | | | | | | | | |
|
Rank
|
| |
Supplier
|
| |
Purchase
amount |
| |
Percentage of
total purchase |
| |
Business
relationship since |
| |
Products/Services Purchased
|
| |
Supplier background
|
|
| | | | | | |
(RMB in
thousands) |
| | | | | | | | | | | | |
|
1
|
| |
Guangzhou Yuji
Technology Co., Ltd. |
| |
90,055
|
| |
13.6%
|
| |
2021
|
| | Data collection, labeling and compliance services | | | A private company in China mainly engaged in technology consulting and services, computer and communication equipment leasing | |
|
2
|
| |
Yutong Group(6)
|
| |
71,042
|
| |
10.7%
|
| |
2021
|
| | Vehicles | | | A large commercial vehicle group in China with products covering buses, trucks, construction machinery, special purpose vehicles and sanitation equipment, with two subsidiaries listed on Shanghai Stock Exchange | |
|
3
|
| |
Supplier A(4)
|
| |
38,265
|
| |
5.8%
|
| |
2019
|
| | Vehicles | | | A state-owned enterprise in China mainly engaged in taxi operation, sales of battery and new energy vehicles parts | |
|
4
|
| |
Supplier E
|
| |
24,208
|
| |
3.7%
|
| |
2021
|
| | IDC server and equipment | | | A private company headquartered in Guangzhou, mainly engaged in the digital new infrastructure service field | |
|
5
|
| |
Supplier B
|
| |
22,494
|
| |
3.4%
|
| |
2019
|
| | Computing server | | | A company in China mainly engaged in research and development, manufacturing of HPC, AI servers and intelligent manufacturing products, and related service, which is a subsidiary of an advanced computing solutions designer and provider listed on Taiwan Stock Exchange | |
| | | |
Total
|
| |
246,064
|
| |
37.2%
|
| | | | | | | | | |
|
Rank
|
| |
Supplier
|
| |
Purchase
amount |
| |
Percentage of
total purchase |
| |
Business
relationship since |
| |
Products/ Services Purchased
|
| |
Supplier background
|
|
| | | | | | |
(RMB in
thousands) |
| | | | | | | | | | | | |
|
1
|
| |
Supplier E
|
| |
92,831
|
| |
12.4%
|
| |
2021
|
| | IDC server and equipment | | | A private company headquartered in Guangzhou, mainly engaged in the digital new infrastructure service field | |
|
2
|
| |
Guangzhou Yuji
Technology Co., Ltd.(廣州禹跡 科技有限公司) |
| |
32,379
|
| |
4.3%
|
| |
2021
|
| | Data collection, labeling and compliance services | | | A private company in China mainly engaged in technology consulting and services, computer and communication equipment leasing | |
|
3
|
| |
Supplier F
|
| |
44,863
|
| |
6.0%
|
| |
2024
|
| | Thor Autonomous driving controller | | | A subsidiary of a global technology company listed on the Stock Exchange, specializing in innovative PCs, smart devices, infrastructure solutions, and services | |
|
4
|
| |
Supplier G
|
| |
46,037
|
| |
6.2%
|
| |
2024
|
| | Vehicles | | | An enterprise in China mainly engaged in the sales of commercial vehicles | |
|
5
|
| |
Supplier A
|
| |
42,120
|
| |
5.6%
|
| |
2019
|
| | Vehicles | | | A state-owned enterprise in China mainly engaged in taxi operation, sales of battery and new energy vehicles parts | |
| | | |
Total
|
| |
258,230
|
| |
34.5%
|
| | | | | | | | | |
|
Customer/ Supplier |
| |
Period
|
| |
Revenue
amount |
| |
Percentage
of total revenue |
| |
Nature of
revenue |
| |
Purchase
amount |
| |
Percentage
of total purchase |
| |
Nature of
purchase |
| ||||||||||||
| | | | | | |
(RMB in
thousands) |
| | | | | | | | | | |
(RMB in
thousands) |
| | | | | | | | | | ||||||
|
Supplier D
|
| |
2022
|
| | | | — | | | | | | — | | | |
N/A
|
| | | | — | | | | | | — | | | |
N/A
|
|
| |
2023
|
| | | | 5,660 | | | | | | 1.4% | | | |
Operational and
technical support services |
| | | | 14,433 | | | | | | 2.8% | | | |
Vehicles
|
| ||
| |
2024
|
| | | | 531 | | | | | | 0.1% | | | |
Robobus
|
| | | | 4,210 | | | | | | 1.1% | | | |
Vehicles
|
| ||
| |
Six months ended
June 30, 2025 |
| | | | — | | | | | | — | | | |
N/A
|
| | | | 10,847 | | | | | | 1.5% | | | |
Vehicles
|
| ||
|
Supplier C
|
| |
2022
|
| | | | 2,000 | | | | | | 0.4% | | | |
Robobus
|
| | | | 19,228 | | | | | | 3.0% | | | |
Sensor suites parts
|
|
| |
2023
|
| | | | — | | | | | | — | | | |
N/A
|
| | | | 46,148 | | | | | | 8.9% | | | |
Sensor suites parts
|
| ||
| |
2024
|
| | | | — | | | | | | — | | | |
N/A
|
| | | | 20,718 | | | | | | 3.1% | | | |
Sensor suites parts
|
| ||
| |
Six months ended
June 30, 2025 |
| | | | — | | | | | | — | | | |
N/A
|
| | | | 5,690 | | | | | | 0.8% | | | |
Sensor suites parts
|
| ||
|
Guangzhou Yuji Technology Co., Ltd.
|
| |
2022
|
| | | | 603 | | | | | | 0.1% | | | |
Operational and
technical support services |
| | | | 30,274 | | | | | | 4.8% | | | |
Data collection, labeling and compliance services
|
|
| |
2023
|
| | | | — | | | | | | — | | | |
N/A
|
| | | | 111,532 | | | | | | 21.4% | | | |
Data collection, labeling and compliance services
|
| ||
| |
2024
|
| | | | 528 | | | | | | 0.1% | | | |
Operational and
technical support services |
| | | | 90,055 | | | | | | 13.6% | | | |
Data collection, labeling and compliance services
|
| ||
| |
Six months ended
June 30, 2025 |
| | | | — | | | | | | — | | | |
N/A
|
| | | | 32,379 | | | | | | 4.3% | | | |
Data collection, labeling and compliance services
|
| ||
|
Yutong
Group(1)(2) |
| |
2022
|
| | | | 44,530 | | | | | | 8.4% | | | |
Robobus;
Operational and technical support services |
| | | | 168,862 | | | | | | 26.8% | | | |
Vehicles
|
|
| |
2023
|
| | | | 29,098 | | | | | | 7.2% | | | |
Robobus;
Operational and technical support services |
| | | | 18,377 | | | | | | 3.5% | | | |
Vehicles
|
| ||
| |
2024
|
| | | | 13,816 | | | | | | 3.8% | | | |
Operational and
technical support services |
| | | | 71,042 | | | | | | 10.7% | | | |
Vehicles
|
| ||
| |
Six months ended
June 30, 2025 |
| | | | 2,200 | | | | | | 1.1% | | | |
Sales of other L4
vehicles and related services |
| | | | 13,366 | | | | | | 1.8% | | | |
Vehicles
|
| ||
|
Awarding Year
|
| |
Award/Recognition
|
| |
Issuing
Authority/Organization |
|
|
2025
|
| | First Place Challenge Winner, Dubai World Congress for Self-Driving Transport | | | Dubai Roads and Transport Authority | |
|
2025
|
| | 2025 Fortune Future 50 List (Worldwide) | | | Fortune | |
| 2025 | | | Fortune Change the World | | | Fortune | |
|
2025
|
| | Fortune Tech 50 (China) | | | Fortune | |
|
2025
|
| |
Hurun China 500 Most Valuable Companies
|
| | Hurun Report | |
|
2025
|
| | Top 50 Hurun China Artificial Intelligence Enterprises | | | Hurun Report | |
|
2024
|
| | 2024 Fortune Future 50 List (Worldwide) | | | Fortune | |
|
2024
|
| | Asia New Economy Pioneers Award | | | Caixin Global | |
|
2024
|
| | Most Admired Companies in China | | | Fortune China | |
|
2024
|
| | Top 50 Most Innovative Companies | | | Forbes China | |
|
2024
|
| | 2024 China Globalization Future Stars−Automotive and Automotive Technology List | | | Fortune | |
|
2024
|
| | China’s Top 50 Artificial Intelligence Technology Companies | | | Forbes | |
|
Awarding Year
|
| |
Award/Recognition
|
| |
Issuing
Authority/Organization |
|
|
2024
|
| | Go-International Series Selection Top 30 in China | | | Forbes | |
|
2024
|
| | Hurun Global Unicorn Index 2024 | | | Hurun Report | |
|
2023
|
| | Most Influential IoT Innovation List | | | Fortune | |
|
2023
|
| | 2023 Change the World List | | | Fortune | |
|
2023
|
| | 2023 China’s Best Design List | | | Fortune | |
|
2023
|
| | 2023 Chinese Overseas Mainstays to Watch | | | Fortune China | |
|
2022
|
| | China’s Most Socially Impactful Startups | | | Fortune China | |
|
Core R&D Team Member
|
| |
Profile
|
|
| Dr. Tony Xu Han | | |
As our founder, chairman of our Board, executive Director and CEO, Dr. Han has shaped our business strategies and significantly contributed to our core technologies.
Dr. Han had contributed significantly to our Company in the following areas:
•
Unwavering commitment to L4 technology development. Since our inception, Dr. Han has consistently prioritized L4 technology as our strategic focus. Despite facing challenges such as differing views on the future of autonomous driving and some competitors downgrading their focus on L4, we have shown unwavering strategic commitment by continuously increasing our R&D investments in L4 technology. Under Dr. Han’s leadership, we are now the only autonomous driving company globally offering L4 autonomous driving solutions that cater to diverse urban lifestyle and travel needs.
•
Proactive business planning and pioneering multiple vehicle products. Dr. Han prioritizes urban scenarios with significant market potential and diverse applications. He spearheaded our R&D team, driving innovation in product development from the ground up to meet market demands in transportation, freight, and sanitation. This strategic focus has led to the successful launch of multiple pioneering L4 products.
•
Focus on product deployment and commercialization. Under Dr. Han’s leadership, we have achieved significant commercialization milestones.
|
|
|
Core R&D Team Member
|
| |
Profile
|
|
| | | |
Notably, we launched China’s first robotaxi service in 2019 and introduced the UAE’s first robotaxi service in 2021, establishing the largest publicly operated fleet in the Middle East. Dr. Han has also been instrumental in advancing our ADAS. In 2022, we demonstrated our adaptability by collaborating with Bosch to advance ADAS, successfully implementing a mass production plan within just 18 months. These accomplishments underscore our strategic initiatives to lead in autonomous technology and expand commercial activities globally. Dr. Han’s vision has positioned us as the only pure-play company offering a comprehensive range of smart mobility solutions across L4, L3, and L2, tailored for urban and highway environments.
Fostering strong partners and investors across value chain. Dr. Han led our partnerships with key ecosystem participants to accelerate the commercialization of our technology. We have forged strong alliances with world-class vehicle manufacturers, Tier 1 suppliers, logistics and urban service providers and others.
•
Establishment of the blueprint for the WeRide One platform. Dr. Han guided us in developing our WeRide One , our universal technology platform. By adopting our WeRide One, our technology stack and operations capabilities cut across all application scenarios, with the utmost effectiveness and efficiency.
•
Solid intellectual property protection. Under Dr. Han’s leadership, we have built a strong patent portfolio to protect our proprietary technologies, covering all critical aspects of autonomous driving. See “—Our Technology” and “—Intellectual Property.”
•
Dr. Han has over 20 years of experience in electrical and computing engineering and autonomous driving. Prior to founding our Company, Dr. Han worked as an associate professor of the Electrical & Computer Engineering Department at the University of Missouri from 2007 to 2017, and was granted tenure in 2013. In his academic career, he specialized in computer vision and machine learning. He worked as the chief scientist of the autonomous driving unit at Baidu Inc. (Nasdaq: BIDU and HKEX: 9888) from 2014 to 2017. Dr. Han received his bachelor’s degree in communication engineering from Beijing Jiaotong University in 1998, master’s degree in electrical engineering from the University of Rhode Island in 2002, and Ph.D. in electrical and computer engineering from the University of Illinois Urbana-Champaign in 2008. See “Directors and Senior Management—Board of Directors—Executive Directors.”
|
|
| Dr. Yan Li | | |
As our co-founder, executive Director, and CTO, Dr. Yan Li plays a pivotal role in shaping our technological innovation.
Dr. Li had contributed significantly to our Company in the following areas:
Hybrid architect and technology infrastructure. Under Dr. Li’s leadership, our end-to-end AI technologies have showcased capabilities that set them apart from those of our competitors. Dr. Li led our R&D team in developing a foundational model for L4 technology that combines safety, reliability, and versatility. This model effectively integrates the reasoning capabilities of multimodal large models with the decision-making advantages of end-to-end models, creating an AI-driven autonomous driving solution that minimizes information loss and simulates human-like driving behavior. Dr. Li spearheaded the development of an in-house vehicle
|
|
|
Core R&D Team Member
|
| |
Profile
|
|
| | | |
management system for real- time scheduling and visualization, creating a standardized deployment framework that meets global standards in technology specifications, operational norms, and data processing. This framework has enabled successful large-scale operations in various international markets, overcoming challenges such as extreme temperatures and regulatory changes, exemplified by the rapid deployment of vehicles in Abu Dhabi within a relatively short time of arrival. In terms of L2 technology, Dr. Li successfully led the team to develop and mass-produce comprehensive solutions for urban navigation on autopilot, or NOA, highway NOA, and parking functionalities within 18 months, while also advancing visual- based technologies to strengthen end-to-end applications, culminating in the successful deployment of the latest generation of end-to-end solutions without maps.
Rollout of our products and solutions. Dr. Li led the development of all vehicle types, namely, robotaxi, robobus, robovan, and robosweeper. Dr. Li also led the development of ADAS from the ground up and advanced our collaboration with Bosch. Remarkably, he completed the mass production plan in just 18 months, leading us to become the only entity to achieve full-stack commercialization of L2-L4 autonomous driving technology. Additionally, Dr. Li led us in optimizing hardware solutions, significantly reducing costs for autonomous vehicles and facilitating product commercialization. Under his leadership, we have iterated through five generations of hardware configurations since our inception, significantly lowering production expenses. For our robobus, Dr. Li expanded partnerships with OEM suppliers, to collaborate on vehicle model selection, hardware design, and mass production delivery. This not only reduced the production costs and prices of our robobuses but also enriched our robobus product line, providing a comprehensive range of options for clients with varying budgets.
Dr. Li has over 20 years of experience in computer science, deep learning, and autonomous driving. Prior to co- founding our Company, Dr. Li served as the director of Engineering of UCAR Technology Inc. from 2015 to 2017, leading the autonomous driving department and connected vehicle data platform. From 2012 to 2015, he worked as a senior engineer at Facebook, Inc. (currently known as Meta Platforms, Inc.), where he was responsible for developing machine learning algorithms for user growth and ads. From 1999 to 2002 and 2009 to 2012, Dr. Li worked as an applied researcher at Microsoft Corporation. Dr. Li received his bachelor’s degree in computer science from Tsinghua University in 1997, master’s degree in computer science from Tsinghua University in 1999 and Ph.D. in electrical and computer engineering from Carnegie Mellon University in the United States in 2009. See “Directors and Senior Management—Board of Directors—Executive Directors.”
|
|
| Dr. Hua Zhong | | | As our senior vice president, Dr. Zhong has been a key contributor to our technological advancements since our inception. Dr. Zhong has over 20 years of experience in computer science and autonomous driving, with a focus on computer vision and machine learning. Before joining us, Dr. Zhong was a principal engineer at Ucar Inc. Prior to that, he worked at Google as well as Siemens. Dr. Zhong previously worked at Microsoft Research Asia, where he was mainly responsible for computer vision and machine learning research and development. Dr. Zhong received his bachelor’s degree in computer science from Tsinghua University in 2000, | |
|
Core R&D Team Member
|
| |
Profile
|
|
| | | | and Ph.D. in computer science from Carnegie Mellon University in the United States in 2008. See “Directors and Senior Management—Senior Management.” | |
| Dr. Qingxiong Yang | | | As our vice president, Dr. Yang is at the forefront of our R&D efforts. Dr. Yang has over 20 years of experience in electrical and computer engineering and autonomous driving. Prior to joining our Group, our Company, Dr. Yang served as the chief executive officer of MoonX.AI from 2018 to 2021. Prior to that, Dr. Yang worked as senior director of autonomous driving at DiDi from 2016 to 2017. Dr. Yang was an assistant professor at the Department of Computer Science of the City University of Hong Kong from 2011 to 2016 where his research focused on computer vision and graphics. Dr. Yang received his bachelor’s degree in electrical engineering and information science from the University of Science and Technology of China in 2004, and Ph.D. in electrical and computer engineering from the University of Illinois at Urbana-Champaign in the United States in 2010. See “Directors and Senior Management—Senior Management.” | |
|
Module
|
| |
Key Aspects
|
| |
Number of
Issued Patents(1) |
| |
Number of
Pending Patents(1) |
|
|
Localization and Imaging
|
| | Point clouds, antennas, yaw angle, etc. | | |
35
|
| |
42
|
|
|
Planning and Control
|
| | Trajectory prediction, lane decisions, path planning, speed planning, trajectory generation, vehicle control, etc. | | |
45
|
| |
41
|
|
|
Perception
|
| | Obstacles, traffic lights, lane line recognition, point cloud classification, semantic segmentation, model training, etc. | | |
93
|
| |
60
|
|
|
Hardware
|
| | Sensor suite, LiDAR, cameras, installation, calibration, cleaning, etc. | | |
211
|
| |
106
|
|
|
Product
|
| | Vehicle testing, remote assistance, network, etc. | | |
42
|
| |
44
|
|
|
Analysis
|
| |
System evaluation, behavior analysis, etc.
|
| |
14
|
| |
32
|
|
|
Data
|
| | Machine learning, cloud platforms, stream processing, data labeling, etc. | | |
104
|
| |
21
|
|
|
Infrastructure
|
| | Large-scale simulation, scenario construction, interface visualization, etc. | | |
50
|
| |
143
|
|
|
No.
|
| |
Patent Claim/
Core Technology |
| |
Patent (Status)
|
| |
Functions/
Application Scenario |
|
| 1. | | | A Method for Calculating Takeover Probability and Related Device | | | ZL2022103857622 (issued) | | | Providing a continuous, standardized safety metric used for assessing the safety of the autonomous driving, which can be utilized for both simulation result evaluation and safety monitoring of real vehicles | |
| 2. | | | Decentralized File Uploading Method and Device, Storage Medium, and Computer Apparatus | | | ZL2022116254163 (issued) | | | Providing an efficient, robust, distributed, and flexibly defined prioritized uploading method for efficiently collecting massive amounts of smart driving data | |
| 3. | | | Automatic Vehicle Offline Method, Device, Equipment, and Storage Medium | | | ZL2021110181200 (issued) | | | Mass production assistant for vehicle offline | |
| 4. | | | Remote Takeover Method, Device, Equipment, and Storage Medium for Autonomous Vehicles | | | ZL2019104110713 (issued) | | | Remote driving system | |
| 5. | | | Autonomous Driving Speed Planning Method and Related Equipment Relating to Drivers’ Blind Spots | | | ZL2021114790886 (issued) | | | Defensive driving strategy for blind spots | |
| 6. | | | Method, Device, Equipment, and Readable Storage Medium for Predicting Obstacle Avoidance Reversing Trajectory | | | ZL2021114937950 (issued) | | | Reversing trajectory prediction algorithm | |
| 7. | | | Vehicle Motion Planning Method, Device, Equipment, and Medium | | | ZL2021115842905 (issued) | | | Generating trajectories that are physically comfortable in the horizontal and vertical directions and that can be followed correctly by the vehicle | |
| 8. | | | Narrow Road Meeting Method, Device, Equipment, and Storage Medium | | | ZL202211194239 (issued) | | | Dealing with narrow road meeting scenarios for autonomous vehicles | |
| 9. | | | Method and Device for Locating Obstacles in Semantic Map, Computer Apparatus, and Storage Medium | | | US17412958 (issued) | | | Locating obstacles on a semantic map | |
| 10. | | | Point Cloud Map Construction Method and Device, Computer Apparatus, and Storage Medium | | | ZL2018116428972 (issued) | | | Map generating system | |
| 11. | | | Sensor-Based Pose Optimization Method, Device, Equipment, and Storage Medium | | | CN2021112700029 (issued) | | | Positioning of autonomous vehicles | |
| 12. | | | Initialization Positioning Method, Device, Vehicle, and Storage Medium | | | CN2021111663732 (issued) | | | Initialization of autonomous vehicles | |
|
No.
|
| |
Patent Claim/
Core Technology |
| |
Patent (Status)
|
| |
Functions/
Application Scenario |
|
|
13.
|
| | Point Cloud Annotation Method, Device, Computer Equipment, and Storage Medium | | | CN2018115016975 (issued) | | |
Point cloud annotation method
|
|
|
14.
|
| | Automatic Annotation Method, Device, Electronic Equipment, Medium, and Product for Time Sequence Data | | | CN2022101990056 (issued) | | | Automatic annotation | |
|
15.
|
| | Index-Based Data Retrieval Method, Device, Server, and Storage Medium | | | CN2020116451995 (issued) | | | Data retrieval | |
|
16.
|
| | Obstacle Recognition Method and Apparatus, Computer Device, and Storage Medium | | | US17601005 (issued) | | | lidetect | |
|
17.
|
| | Target Object Detection and Segmentation Method, Device, Equipment, and Storage Medium | | | CN2022105548322 (issued) | | | CamBEV | |
|
18.
|
| | Traffic Light Identification Method, Device, and Electronic Equipment | | | CN2022101618792 (issued) | | | Traffic light model-based decider | |
|
19.
|
| | Time Synchronization Method, Device, Terminal Equipment, and Storage Medium | | | ZL2019111100701 (issued) | | | Sensor calibration | |
|
20.
|
| | Remote Sensor Cleaning Method, System, and Storage Medium | | | ZL202111252051X (issued) | | | Sensor auto-cleaning | |
|
Standards, certifications
and requirements |
| |
Definition of the standards,
certifications and requirements |
| |
Our compliance with the standards,
certifications and requirements |
|
| ISO 9001:2015 | | | An internationally accepted standard for quality management systems published by the ISO, encompassing the formulation of quality policies, objectives and processes such as quality planning, quality control, quality assurance and quality improvement. | | | We are ISO 9001:2015 certified, with our certificate valid until June 22, 2025. We operate in accordance with the quality system requirements and are committed to continual improvement. | |
| ISO 26262:2018 | | | An international standard for the functional safety of road vehicles, focusing on electrical and electronic systems. It aims to enhance safety by addressing potential hazards from system malfunctions. The standard uses the Automotive Safety Integrity Level (ASIL) for risk classification, divided into four levels: A, B, C and D, with ASIL D representing the highest level of stringency. | | | We obtained ISO 26262:2018 (ASIL-D) certification for our functional safety development process, with our certificate valid until April 28, 2028. | |
| ISO 21434:2021 | | | An international standard specifying engineering requirements for cybersecurity risk management regarding concept, product development, production, operation, maintenance and decommissioning of electrical and electronic systems in road vehicles, including their components and interfaces. | | | We are ISO 21434:2021 certified, with our certificate valid until April 1, 2026. We operate in accordance with the system requirements and strive for further enhancement. | |
| ISO 27001:2022 | | | An internationally accepted standard providing guidance for establishing, implementing, maintaining and continually improving an information security management. | | | We are ISO 27001:2022 certified, with our certificate valid until December 17, 2027. We operate in accordance with the system requirements and strive for further enhancement. | |
| ASPICE | | | Automotive software process improvement and capability determination, an industry-standard guideline for evaluating software development processes. | | | Certain of our R&D project achieved Level 2 in an ASPICE assessment. | |
|
Standards, certifications
and requirements |
| |
Definition of the standards,
certifications and requirements |
| |
Our compliance with the standards,
certifications and requirements |
|
| ISO 14001:2015 | | | An internationally recognized standard for environmental management systems (EMS). It provides a framework for organizations to design and implement an EMS, encompassing various aspects, from resource usage and waste management to monitoring environmental performance and involving stakeholders in environmental commitments. | | | We are ISO 14001:2015 certified, with our certificate valid until June 22, 2025. We operate in accordance with the system requirements and strive for further enhancement. | |
|
No.
|
| |
License
name (License No.) |
| |
Vehicle
type |
| |
Nature
of the license |
| |
Scope/
requirement |
| |
Grant
date |
| |
Licensee
name |
| |
Expiry
date |
| |
Jurisdiction
|
|
| 1 | | |
M1 (Vehicle No.: RD3228G)
|
| | Robobus | | | The first-level public road testing of autonomous vehicles | | | A closed-circuit test covers multiple dimensions, including basic autonomous driving functions, dynamic and static obstacle recognition and avoidance, and overall vehicle safety performance | | |
December 06, 2023
|
| |
WeRide (Singapore) Pte. Ltd.
|
| | / | | | Singapore | |
| 2 | | |
T1 (ID No: WR01)
|
| | Robobus | | | Prerequisite license for applying for the exemption for use on the public paths | | | T1 license focuses on public path testing, emphasizing technical reliability and precise response capabilities in complex environments. Test components include, among others, path keeping and turning, interaction with other path users | | |
October 24, 2023
|
| |
WeRide (Singapore) Pte. Ltd.
|
| | / | | | Singapore | |
| 3 | | | Minimal Viable License (RL2023002) | | | Robosweeper and other types of autonomous vehicles | | | National-level license to conduct testing for all types of autonomous vehicles in the UAE | | | Completion of public testing and operations on certain roads in the UAE over a period of time | | | August 1, 2023 | | | WeRide Middle East General Trading Ltd | | |
August 1, 2024(1)
|
| | the UAE | |
| 4 | | | Autonomous Vehicles Testing Program Test Vehicle Permits | | | Robotaxi | | | A test for autonomous vehicles on public roads under controlled conditions | | | Test vehicles are required to have safety features such as mechanisms for engaging/disengaging autonomous mode, certain data capture capability and meet the applicable federal motor vehicle safety standards | | | May 21, 2024 | | | Weride Corp. | | |
June 30,
2026 |
| | U.S. | |
|
No.
|
| |
Region
|
| |
Vehicle
Type |
| |
Licensee
name |
| |
Notice (No.)
|
| |
Scope of
Permit |
| |
Grant Date
|
| |
Validity
Period |
|
| 1 | | | Beijing | | | Robotaxi | | | Wenyuan Jingxing | | | Intelligent Connected Vehicle Road Testing Notice (2024 No. 0062) | | | Road testing, demonstration application, commercial pilot | | |
2024.10.28
|
| |
2024.10.28-2026.04.27
|
|
| 2 | | | Beijing | | | Robotaxi | | | Wenyuan Jingxing | | | Intelligent Connected Vehicle Road Testing Notice (2025 No. 0009) | | | Commercial operation(1) | | |
2025.02.21
|
| |
2025.02.21- 2026.06.22
|
|
| 3 | | | Beijing | | | Robotaxi | | | Wenyuan Jingxing | | | Intelligent Connected Vehicle Road Testing Notice (2025 No. 0026) | | | Commercial pilot | | |
2025.03.28
|
| |
2025.03.28-2026.09.27
|
|
| 4 | | | Beijing | | | Robotaxi | | | Wenyuan Jingxing | | | Intelligent Connected Vehicle Road Testing Notice | | | Commercial pilot | | |
2025.03.28
|
| |
2025.03.28- 2026.04.27
|
|
|
No.
|
| |
Region
|
| |
Vehicle
Type |
| |
Licensee
name |
| |
Notice (No.)
|
| |
Scope of
Permit |
| |
Grant Date
|
| |
Validity
Period |
|
| | | | | | | | | | | | |
(2025 No. 0031)
|
| | | | | | | | | |
| 5 | | |
Beijing
|
| | Robobus | | | Wenyuan Jingxing | | | Intelligent Connected Vehicle Road Testing Notice (2025 No. 0032) | | | Commercial pilot | | |
2025.03.28
|
| |
2025.03.28- 2026.04.10
|
|
| 6 | | |
Beijing
|
| | Robobus | | | Wenyuan Jingxing | | | Intelligent Connected Vehicle Road Testing Notice (2025 No. 0034) | | | Commercial pilot | | |
2025.09.26
|
| |
2025.09.07- 2027.03.06
|
|
|
No.
|
| |
Region
|
| |
Testing
Entity |
| |
Testing
Notice/ Demonstration Application Qualification Notice (No.) |
| |
Nature of
Testing |
| |
Grant
Date |
| |
Validity
Period |
|
| 1 | | | Guangzhou | | | Wenyuan Guangzhou | | | Guangzhou Intelligent Connected Vehicle Road Testing Notice (2024 No. 109) | | | Road testing(1), passenger carrying testing, remote testing | | |
2024.12.13
|
| |
2024.12.13-2025.12.12
|
|
| 2 | | | Guangzhou | | | Wenyuan Guangzhou | | | Guangzhou Intelligent Connected Vehicle Road Testing Notice (2024 No. 107) | | | Road testing | | |
2024.10.28
|
| |
2024.10.28-2025.10.27
|
|
| 3 | | | Guangzhou | | | Wenyuan Guangzhou, Wenyuan Yuexing, Guangzhou Jingqi, and Baiyun Taxi | | | Guangzhou Huangpu Intelligent Connected Vehicle Application Demonstration Operation Qualification Notice (2025 No. 1) | | | Demonstration operation(2) | | |
2025.04.18
|
| |
2025.04-
2028.04 |
|
| 4 | | | Nanjing | | |
Wenyuan Suxing
|
| | Intelligent Connected Vehicle Road Testing Notice (2024 No. 5) | | | Road testing | | |
2024.11.12
|
| |
2024.11.12- 2026.05.01
|
|
|
No.
|
| |
Region
|
| |
Testing
Entity |
| |
Testing Notice/
Demonstration Application Qualification Notice (No.) |
| |
Nature
of Testing |
| |
Grant
Date |
| |
Validity
Period |
|
| 1 | | | Guangzhou | | | Wenyuan Guangzhou, Guangzhou Bus Group Co., Ltd., Guangzhou Nansha Bus Co., Ltd. | | | Guangzhou Intelligent Connected Vehicle Road Testing Notice (2024 No. 110) | | | Road testing, passenger carrying testing | | |
2024.12.13
|
| |
2024.12.13-2025.12.12
|
|
| 2 | | | Guangzhou | | | Wenyuan Guangzhou, Guangzhou Bus Group Co., Ltd., Guangzhou Bus Group Nansha Bus Co., Ltd., Guangzhou Jingqi | | | Notice of Qualification for Intelligent Connected Vehicle Demonstration Application in Nansha District (南沙區智能網聯 汽車示範應用資格通知書) | | | Demonstration Application | | |
2025.01.27
|
| |
2025.01.27-2026.10.01
|
|
| 3 | | | Beijing | | | Wenyuan Jingxing | | | Intelligent Connected Vehicle Road Testing Notice (智能網聯汽車道路測試通知書) (2024 No. 0053) | | | Demonstration application | | |
2024.08.21
|
| |
2024.08.21-2026.02.20
|
|
| 4 | | | Beijing | | | Wenyuan Jingxing | | | Intelligent Connected Vehicle Road Testing Notice (2024 No. 0060) | | | Demonstration application | | |
2024.10.11
|
| |
2024.10.11-2026.04.10
|
|
|
No.
|
| |
Region
|
| |
Testing
Entity |
| |
Testing Notice/
Demonstration Application Qualification Notice (No.) |
| |
Nature
of Testing |
| |
Grant
Date |
| |
Validity
Period |
|
| 5 | | | Beijing | | | Wenyuan Jingxing | | | Intelligent Connected Vehicle Road Testing Notice (2024 No. 0063) | | | Road testing, demonstration application | | |
2024.10.28
|
| |
2024.10.28-2026.04.27
|
|
| 6 | | | Dalian | | | Wenyuan Guangzhou, Dalian HaiChuang Asset Operation Management Co., Ltd. | | | Intelligent Connected Vehicle Demonstration Application Safety Self-Declaration | | | Demonstration application | | |
2024.06.05
|
| |
2024.06.05-2025.12.25
|
|
| 7 | | |
Songyang,
Lishui |
| | Wenyuan Wuxi, Songyang County Urban and Rural Public Transport Passenger Transport Co., Ltd. | | | 2024 Intelligent Connected Vehicle Demonstration Application Notice | | | Demonstration application | | |
2024.12.23
|
| |
2024.12.23-2026.06.23
|
|
| 8 | | | Dongguan | | | Wenyuan Guangzhou | | | Intelligent Connected Vehicle Road Testing and Demonstration Application Safety Self-Declaration | | | Road testing | | |
2024.09.25
|
| |
2024.09.20-2025.10.31
|
|
| 9 | | | Nanjing | | |
Wenyuan Suxing
|
| | Intelligent Connected Vehicle Road Testing Notice (2024 No. 5) | | | Road testing | | |
2024.11.12
|
| |
2024.11.12- 2026.05.01
|
|
| 10 | | | Hengqin | | | Wenyuan Guangzhou | | | Intelligent Connected Vehicle Demonstration Application Safety Self-Declaration (智能網聯汽車示範應用安全性自我聲明) (2025 No. 006) | | | Demonstration application | | |
2025.05.11
|
| |
2025.05.15- 2025.11.11
|
|
| 11 | | | Hengqin | | | Wenyuan Guangzhou | | | Intelligent Connected Vehicle Demonstration Application Safety Self-Declaration (智能網聯汽車示範應用安全性自我聲明) (2025 No. 007) | | | Demonstration application | | |
2025.05.11
|
| |
2025.05.15- 2025.11.11
|
|
|
No.
|
| |
Region
|
| |
Testing Entity
|
| |
Testing Notice/
Demonstration Application Qualification Notice (No.) |
| |
Nature of Testing
|
| |
Grant Date
|
| |
Validity Period
|
|
| 1 | | | Beijing | | | Wenyuan Jingxing | | | Intelligent Connected Vehicle Road Testing Notice (2025 No. 0007) | | | Road testing | | |
2025.02.21
|
| |
2025.02.21-2026.08.20
|
|
| 2 | | | Beijing | | | Wenyuan Jingxing | | | Intelligent Connected Vehicle Road Testing | | | Road testing | | |
2024.12.11
|
| |
2024.12.11-2026.06.10
|
|
|
No.
|
| |
Region
|
| |
Testing Entity
|
| |
Testing Notice/
Demonstration Application Qualification Notice (No.) |
| |
Nature of Testing
|
| |
Grant Date
|
| |
Validity Period
|
|
| | | | | | | | | | Notice (2024 No. 0068) | | | | | | | | | | |
| 3 | | | Beijing | | | Wenyuan Jingxing | | | Intelligent Connected Vehicle Road Testing Notice (2024 No 0038) | | | Road testing | | |
2025.10.19
|
| |
2025.09.29-2027.03.28
|
|
| 4 | | | Dalian | | | Wenyuan Guangzhou, Dalian HaiChuang Asset Operation Management Co., Ltd. | | | Intelligent Connected Vehicle Demonstration Application Safety Self-Declaration | | | Road testing | | |
2024.11.01
|
| |
2024.11.01-2026.04.30
|
|
| 5 | | |
Dongguan
|
| | Dongguan Wenyuan Zhixing Intelligent Technology Co., Ltd. | | | Intelligent Connected Vehicle Road Testing Safety Self-Declaration | | | Road testing | | |
2024.05.09
|
| |
2024.06.01- 2025.11.30
|
|
|
No.
|
| |
Region
|
| |
Testing Entity
|
| |
Testing Notice/
Demonstration Application Qualification Notice (No.) |
| |
Nature of Testing
|
| |
Grant Date
|
| |
Validity Period
|
|
| 1 | | | Guangzhou | | | Guangzhou Wenyuan, Guangzhou Wenyuan Zhixing Intelligent Technology Co., Ltd. | | | Nansha Unmanned Driving Equipment Road Test Access Qualification Notice | | | Road testing, innovation application | | |
2025.06.09
|
| |
2025.06.03-
2026.12.02
|
|
| 2 | | | Changsha | | | Wenyuan Guangzhou | | |
Functional Autonomous
Vehicle Pilot Program Safety Self-Declaration (功能型無人車試點安全性自我聲明) |
| |
Road testing,
demonstration application |
| |
2025.04.17
|
| |
2025.04.17-
2026.04.17
|
|
| 3 | | | Guangzhou | | | Wenyuan Guangzhou | | |
Notice Regarding the Issuance of Road Test Plates for Unmanned Driving Equipment in Guangzhou Huangpu
(關於發放廣州市黃埔區無人駕駛裝備道路測試標誌牌的通知) (2025 No. 2) |
| | Road testing | | |
2025.06.23
|
| |
/
|
|
|
Function
|
| |
Number of
Employees |
| |
% of Total
|
| ||||||
|
Research and development engineers
|
| | | | 797 | | | | | | 22.2% | | |
|
R&D data processing staff
|
| | | | | | | | | | 71.5% | | |
|
Sales and marketing
|
| | | | 72 | | | | | | 2.0% | | |
|
Operations
|
| | | | 64 | | | | | | 1.8% | | |
|
General management and administration
|
| | | | 90 | | | | | | 2.5% | | |
| Total | | | | | 3,588 | | | | | | 100.0% | | |
| | | |
As of December 31,
|
| |
As of
June 30 |
| ||||||||||||||||||
| | | |
2022
|
| |
2023
|
| |
2024
|
| |
2025
|
| ||||||||||||
|
Female Employee Percentage
|
| | | | 15.6% | | | | | | 16.3% | | | | | | 39.8% | | | | | | 42.7% | | |
|
Number of Employee Nationalities
|
| | | | 2 | | | | | | 6 | | | | | | 9 | | | | | | 9 | | |
| | | |
Female
|
| |
Male
|
| |
Non-Binary
|
| |
Did Not Disclose
Gender |
| ||||||||||||
| Gender Identity | | | | | | | | | | | | | | | | | | | | | | | | | |
|
Directors
|
| | | | 1 | | | | | | 5 | | | | | | 0 | | | | | | 0 | | |
| | | |
For the Year Ended December 31,
|
| |
For the Six
Months Ended June 30, |
| ||||||||||||||||||
| | | |
2022
|
| |
2023
|
| |
2024
|
| |
2025
|
| ||||||||||||
|
Electricity consumption (kWh)
|
| | | | 439,478 | | | | | | 608,548 | | | | | | 609,074 | | | | | | 273,174 | | |
|
Electricity consumption per unit area (kWh/m2)
|
| | | | 121.85 | | | | | | 133.58 | | | | | | 133.69 | | | | | | 59.96 | | |
|
Water consumption (m3)
|
| | | | 74 | | | | | | 175 | | | | | | 190 | | | | | | 133 | | |
|
Water consumption per unit area (m3/m2)
|
| | | | 0.02 | | | | | | 0.04 | | | | | | 0.04 | | | | | | 0.03 | | |
|
Waste discharge (m3)
|
| | | | 74 | | | | | | 175 | | | | | | 190 | | | | | | 133 | | |
|
Waste discharge per unit area (m3/m2)
|
| | | | 0.02 | | | | | | 0.04 | | | | | | 0.04 | | | | | | 0.03 | | |
|
Directors and Executive Officers
|
| |
Age
|
| |
Position/Title
|
|
|
Tony Xu Han
|
| |
49
|
| | Founder, Chairman and Chief Executive Officer | |
|
Yan Li
|
| |
51
|
| |
Co-founder, Director and Chief Technology Officer
|
|
|
Hua Zhong
|
| |
49
|
| | Senior Vice President | |
|
Jennifer Xuan Li
|
| |
37
|
| |
Chief Financial Officer and Head of International
|
|
|
Qingxiong Yang
|
| |
44
|
| | Vice President | |
|
Huiping Yan
|
| |
59
|
| | Director* | |
|
David Tong Zhang
|
| |
62
|
| | Director* | |
|
Jean-François Salles
|
| |
57
|
| | Director | |
|
Kazuhiro Doi
|
| |
65
|
| | Director | |
|
Tony Fan-cheong Chan**
|
| |
73
|
| | Director* | |
|
Name
|
| |
Ordinary Shares
Underlying Options and Restricted Share Units |
| |
Exercise
Price (US$/Share) |
| |
Date of Grant
|
| |
Date of Expiration
|
| |||
|
Tony Xu Han
|
| | | | 27,595,520 | | | |
1.24 to 3.89
|
| |
Between October 29, 2022
to July 26, 2024 |
| |
Between October 28, 2032
to July 25, 2034 |
|
|
Yan Li
|
| | | | 10,513,974 | | | |
1.24 to 3.89
|
| |
Between October 29, 2022
to July 26, 2024 |
| |
Between October 28, 2032
to July 25, 2034 |
|
|
Hua Zhong
|
| | | | 4,763,687 | | | |
1.24 to 3.89
|
| |
Between October 29, 2022
to July 26, 2024 |
| |
Between October 28, 2032
to July 25, 2034 |
|
|
Jennifer Xuan Li
|
| | | | 12,149,857 | | | |
0.46 to 1.24
|
| |
Between November 23, 2020 and July 26, 2024
|
| |
Between February 4, 2031
and July 25, 2034 |
|
| | | | | | 13,500,000(1) | | | |
—
|
| | July 26, 2024 | | | July 25, 2034 | |
|
Qingxiong Yang
|
| | | | * | | | |
0.55
|
| | October 25, 2021 | | | October 24, 2031 | |
| | | | | | *(1) | | | |
—
|
| | August 5, 2025 | | | August 4, 2035 | |
|
Huiping Yan
|
| | | | *(1) | | | |
—
|
| | March 12, 2025 | | | March 11, 2035 | |
|
David Tong Zhang
|
| | | | * | | | |
1.22
|
| | March 12, 2025 | | | March 11, 2035 | |
|
All directors and executive
officers as a group |
| | |
|
71,398,193
|
| | | | | | | | | | |
| | | |
Shares Beneficially Owned
Prior to the Global Offering |
| |
Shares Beneficially Owned
Immediately After the Global Offering |
| | ||||||||||||||||||||||||||||||||||||||||||||
| | | |
Class A
ordinary shares |
| |
Class B
ordinary shares |
| |
% of
total ordinary shares |
| |
% of
aggregate voting power† |
| |
Class A
ordinary shares |
| |
Class B
ordinary shares |
| |
% of
total ordinary shares |
| |
% of
aggregate voting power† |
| | ||||||||||||||||||||||||||
|
Directors and Executive Officers**:
|
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | ||
|
Tony Xu Han(1)
|
| | | | 27,595,518 | | | | | | 41,249,590 | | | | | | 7.1 | | | | | | 54.1 | | | | | | 27,595,518 | | | | | | 41,249,590 | | | | | | 6.5 | | | | | | 52.6 | | | | ||
|
Yan Li(2)
|
| | | | 37,643,637 | | | | | | 13,564,833 | | | | | | 5.4 | | | | | | 18.8 | | | | | | 37,643,637 | | | | | | 13,564,833 | | | | | | 4.9 | | | | | | 18.3 | | | | ||
|
Hua Zhong(3)
|
| | | | 20,471,531 | | | | | | — | | | | | | 2.2 | | | | | | 0.7 | | | | | | 20,471,531 | | | | | | — | | | | | | 2.0 | | | | | | 0.6 | | | | ||
|
Jennifer Xuan Li(4)
|
| | | | 24,671,757 | | | | | | — | | | | | | 2.6 | | | | | | 0.8 | | | | | | 24,671,757 | | | | | | — | | | | | | 2.3 | | | | | | 0.8 | | | | ||
|
Qingxiong Yang(5)
|
| | | | * | | | | | | — | | | | | | * | | | | | | * | | | | | | * | | | | | | — | | | | | | * | | | | | | * | | | | ||
|
Huiping Yan(6)
|
| | | | * | | | | | | — | | | | | | * | | | | | | * | | | | | | * | | | | | | — | | | | | | * | | | | | | * | | | | ||
|
David Tong Zhang(7)
|
| | | | * | | | | | | — | | | | | | * | | | | | | * | | | | | | * | | | | | | — | | | | | | * | | | | | | * | | | | ||
|
Jean-François Salles
|
| | | | — | | | | | | — | | | | | | — | | | | | | — | | | | | | — | | | | | | — | | | | | | — | | | | | | — | | | | ||
|
Kazuhiro Doi
|
| | | | — | | | | | | — | | | | | | — | | | | | | — | | | | | | — | | | | | | — | | | | | | — | | | | | | — | | | | ||
|
All directors and executive officers as a group
|
| | | | 74,248,109 | | | | | | 92,923,912 | | | | | | 16.6 | | | | | | 81.9 | | | | | | 74,248,109 | | | | | | 92,923,912 | | | | | | 15.3 | | | | | | 71.3 | | | | ||
| Principal Shareholders: | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | ||
|
Tony Xu Han(1)
|
| | | | — | | | | | | 68,845,108 | | | | | | 7.1 | | | | | | 54.1 | | | | | | — | | | | | | 68,845,108 | | | | | | 6.5 | | | | | | 52.6 | | | | ||
|
Yan Li(2)
|
| | | | 27,129,666 | | | | | | 24,078,804 | | | | | | 5.4 | | | | | | 18.8 | | | | | | 27,129,666 | | | | | | 24,078,804 | | | | | | 4.9 | | | | | | 18.3 | | | | ||
|
Yutong entities(8)
|
| | | | 67,044,482 | | | | | | — | | | | | | 7.1 | | | | | | 2.2 | | | | | | 67,044,482 | | | | | | — | | | | | | 6.5 | | | | | | 2.1 | | | | ||
|
Qiming entities(9)
|
| | | | 62,865,042 | | | | | | — | | | | | | 6.7 | | | | | | 2.0 | | | | | | 62,865,042 | | | | | | — | | | | | | 6.1 | | | | | | 2.0 | | | | ||
|
Alliance Ventures B.V.(10)
|
| | | | 63,680,080 | | | | | | — | | | | | | 6.8 | | | | | | 2.1 | | | | | | 63,680,080 | | | | | | — | | | | | | 6.2 | | | | | | 2.0 | | | | | |