China Automotive Systems (CAAS) Total Liabilities (2023 - 2026)
China Automotive Systems (CAAS) posted Total Liabilities of $580.01 million for Q2 2026.
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Analysis
China Automotive Systems (CAAS) Total Liabilities (2023 - 2026) Analysis & Trends
At the end of FY2025, China Automotive Systems' Total Liabilities came in at $551 million, up 19.6% from FY2024.
- In prior years, China Automotive Systems' Total Liabilities was $460.79 million in FY2024 (-34.3%) and $701.4 million in FY2023.
- The Q2 2026 figure stands as the highest quarterly Total Liabilities since Q4 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,252.82 Bn | 1,078.84 Bn | 4.75 Bn | 61.06 Bn |
| 2 | Ferrari | 70.74 Bn | 63.23 Bn | 1.18 Bn | 7.49 Bn |
| 3 | General Motors | 66.51 Bn | -38.10 Bn | 9.28 Bn | 224.67 Bn |
| 4 | Ford Motor | 47.64 Bn | -94.85 Bn | 6.08 Bn | 249.78 Bn |
| 5 | Honda Motor | 45.38 Bn | -104.43 Bn | 8.46 Bn | 134.69 Bn |
| 6 | Toyota Motor | 24.76 Bn | -376.05 Bn | 20.95 Bn | 403.44 Bn |
| 7 | Magna International | 18.22 Bn | 12.24 Bn | 1.61 Bn | - |
| 8 | Rivian Automotive | 16.67 Bn | -6.64 Bn | 179.00 Mn | 10.01 Bn |
| 9 | Stellantis | 12.31 Bn | -152.34 Bn | 5.55 Bn | 173.26 Bn |
| 10 | China Automotive Systems | 134.71 Mn | -365.57 Mn | - | 580.01 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 580.01 Mn |
| Dec 31, 2025 | 551.00 Mn |
| Sep 30, 2025 | 513.31 Mn |
| Dec 31, 2024 | 460.79 Mn |
| Dec 31, 2023 | 701.40 Mn |
API Access
China Automotive Systems Total Liabilities API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=total-liabilities&ticker=CAAS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "CAAS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=total-liabilities&ticker=CAAS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();