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China Automotive Systems, Inc.: share-based compensation expense

Share-based compensation expense 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

Reported noncash expense for share-based payment arrangements. Noncash treatment does not mean the awards have no economic cost to shareholders.

Exact concept: us-gaap:ShareBasedCompensation. 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 2009-01-01 to 2022-12-31. The SEC response was captured on 2026-09-21.

This selected history ends more than two years before capture. Do not treat its final value as a current balance or current annual result. More recent filings may use another accounting tag; inspect the filings before drawing conclusions about the company.

Selected filing history

Share-based compensation expense in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
2022-01-012022-12-310USD2023-03-3010-K · 0001410578-23-000424
2021-01-012021-12-3188,000USD2023-03-3010-K · 0001410578-23-000424
2020-01-012020-12-310USD2022-03-3010-K · 0001410578-22-000626
2019-01-012019-12-310USD2020-05-1410-K · 0001104659-20-061126
2018-01-012018-12-3123,000USD2020-05-1410-K · 0001104659-20-061126
2017-01-012017-12-31100,000USD2019-03-2810-K · 0001144204-19-016630
2016-01-012016-12-31137,000USD2018-03-2910-K · 0001144204-18-017693
2015-01-012015-12-31105,000USD2017-03-3010-K · 0001144204-17-017409
2014-01-012014-12-31193,000USD2016-03-3010-K · 0001144204-16-091114
2013-01-012013-12-31194,000USD2015-03-2610-K · 0001144204-15-018486
2012-01-012012-12-3176,000USD2014-03-3110-K · 0001144204-14-018987
2011-01-012011-12-31101,000USD2013-03-2710-K · 0001144204-13-017694
2010-01-012010-12-31595,402USD2012-03-0910-K · 0001144204-12-014010
2009-01-012009-12-31446,676USD2012-03-0910-K · 0001144204-12-014010

Related financial histories

Inspect the source

Entity
China Automotive Systems, Inc. / CIK 0001157762
Captured
2026-09-21T17:18:47.449Z
SEC response SHA-256
7bf60ff93b0d127f64e282c899aee9fa6c49f4093d5b4abf364398959c1632db

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.

Read the published dataset with Python
import json
from urllib.request import urlopen

with urlopen("https://canlicapital.com/company-data/0001157762.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"])))