China Automotive Systems (CAAS) Cash & Equivalents (2023 - 2026)
China Automotive Systems (CAAS) reported Cash & Equivalents of $98.41 million for Q2 2026.
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Analysis
China Automotive Systems (CAAS) Cash & Equivalents (2023 - 2026) Analysis & Trends
At the end of FY2025, China Automotive Systems posted Cash & Equivalents of $142 million, up 149.3% from FY2024.
- By year, Cash & Equivalents came in at $56.96 million in FY2024 (-63.3%) and $155.19 million in FY2023.
- The Q2 2026 figure ranks as the lowest quarterly Cash & Equivalents since Q4 2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,148.52 Bn | 983.08 Bn | 4.75 Bn | 15.22 Bn |
| 2 | Toyota Motor | 242.17 Bn | -164.57 Bn | 20.95 Bn | 64.89 Bn |
| 3 | Ferrari | 145.86 Bn | 138.30 Bn | 1.18 Bn | 1.73 Bn |
| 4 | Honda Motor | 143.38 Bn | 10.76 Bn | 8.46 Bn | 33.23 Bn |
| 5 | General Motors | 67.56 Bn | -37.30 Bn | 7.33 Bn | 20.13 Bn |
| 6 | Ford Motor | 47.24 Bn | -95.23 Bn | 6.08 Bn | 18.60 Bn |
| 7 | Rivian Automotive | 20.35 Bn | -2.94 Bn | 179.00 Mn | 3.59 Bn |
| 8 | Magna International | 17.85 Bn | 15.41 Bn | 1.61 Bn | 1.43 Bn |
| 9 | Stellantis | 12.63 Bn | -153.36 Bn | 5.55 Bn | 39.17 Bn |
| 10 | China Automotive Systems | 144.82 Mn | -302.16 Mn | - | 98.41 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 98.41 Mn |
| Dec 31, 2025 | 142.00 Mn |
| Sep 30, 2025 | 139.42 Mn |
| Dec 31, 2024 | 56.96 Mn |
| Dec 31, 2023 | 155.19 Mn |
API Access
China Automotive Systems Cash & Equivalents 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=cash-and-equivalents&ticker=CAAS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=CAAS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();