China Automotive Systems, Inc.: gross profit
Gross profit for China Automotive Systems, Inc. Inspect selected reporting periods, original units and SEC filing links; download the financial history.
All China Automotive Systems, Inc. financial histories
What this measure means
Revenue less the costs directly attributed to the goods or services sold. It precedes other operating expenses and is not net income.
Exact concept: us-gaap:GrossProfit. Each value covers an annual-duration reporting interval, shown with both start and end dates. Different units remain separate; no currency conversion or interpolation is applied.
Coverage of this history
Selected reporting periods run from 2023-01-01 to 2025-12-31. The SEC response was captured on 2026-09-21.
Selected filing history
| Period start | Period end | Value | Unit | Filed | Source filing |
|---|---|---|---|---|---|
| 2025-01-01 | 2025-12-31 | 145,463,000 | USD | 2026-04-22 | 20-F · 0001104659-26-046434 |
| 2024-01-01 | 2024-12-31 | 109,184,000 | USD | 2026-04-22 | 20-F · 0001104659-26-046434 |
| 2023-01-01 | 2023-12-31 | 103,751,000 | USD | 2026-04-22 | 20-F · 0001104659-26-046434 |
Related financial histories
- China Automotive Systems, Inc.: stockholders equity
- China Automotive Systems, Inc.: net income or loss
- China Automotive Systems, Inc.: operating cash flow
- China Automotive Systems, Inc.: capital expenditure payments
- China Automotive Systems, Inc.: revenue
- China Automotive Systems, Inc.: financing cash flow
- China Automotive Systems, Inc.: investing cash flow
- China Automotive Systems, Inc.: basic weighted-average shares
- China Automotive Systems, Inc.: diluted weighted-average shares
- China Automotive Systems, Inc.: basic earnings per share
- China Automotive Systems, Inc.: diluted earnings per share
- China Automotive Systems, Inc.: income tax expense or benefit
- China Automotive Systems, Inc.: operating income or loss
- China Automotive Systems, Inc.: interest expense
- China Automotive Systems, Inc.: operating expenses
- China Automotive Systems, Inc.: selling, general and administrative expense
- China Automotive Systems, Inc.: research and development expense
Inspect the source
- Entity
- China Automotive Systems, Inc. / CIK 0002037400
- Captured
- 2026-09-21T17:41:53.743Z
- SEC response SHA-256
448c570e7a9c9b93ca871460b22672d03792389c3a7164bea45b11cae48135f3
Current SEC company facts · Download the original response snapshot (gzip) · Download the selected JSON
Latest-filed annual-report facts per unit and reporting period at capture time. Duration facts cover 300 to 400 days. This selection can include restatements and is not a point-in-time backtest dataset. Missing concepts are omitted, never zero-filled. Values retain original units and are not currency converted. Extended concepts require compatible unit shapes and at least three reporting ends with changing values within one unit. Constant or incompatible added histories are omitted.
Public company accounting reference, not market prices, returns, an investment recommendation, or ALPHAC performance. Validate a separately constructed return series with the validation API; accounting values are not returns.
Use this in research
A financial period ends before its results become public. Use the filing date as a minimum availability boundary, inspect amendments, and retain the original filing vintage when testing historical signals. This latest-filed selection can contain information unavailable at the time.
These pages do not supply prices, total-return histories, corporate-action adjustments or a tradable universe. Build those inputs separately before evaluating a strategy. A profitable backtest can still reflect selection bias or costs that were left out.
Research methodology · Execution and cost assumptions · Check backtest overfitting
Build with the open-source tools
Use these accounting records as inspectable inputs. When you have constructed a return series, the validation tools can help test its statistical evidence and preserve the result with its limitations.
- Get an API key and run your first validation
- Connect the MCP server to your coding assistant
- Inspect the ALPHAC engine on GitHub
- Read the MCP server source and integration examples
Read the published dataset with Python
import json
from urllib.request import urlopen
with urlopen("https://canlicapital.com/company-data/0002037400.json") as response:
record = json.load(response)
print(record["fetched_at"])
print(record["policy"])
for concept in record["concepts"]:
print(concept["tag"], next(iter(concept["observations"])))