China Automotive Systems (CAAS) Operating Expenses (2024 - 2025)
China Automotive Systems' Operating Expenses came in at $35.07 million for Q4 2025, up 57.4% from $22.27 million a year earlier and up 65.2% from the prior quarter.
Powered by 
Analysis
China Automotive Systems (CAAS) Operating Expenses (2024 - 2025) Analysis & Trends
For FY2025, China Automotive Systems' Operating Expenses was $95.41 million, up 30.3% from FY2024.
- Going back by year, Operating Expenses was $73.23 million in FY2024 (+4.2%) and $70.29 million in FY2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,157.07 Bn | 991.62 Bn | 4.75 Bn | 4.35 Bn |
| 2 | Toyota Motor | 254.94 Bn | -151.80 Bn | 20.95 Bn | 78.18 Bn |
| 3 | Ferrari | 147.58 Bn | 140.03 Bn | 1.18 Bn | 471.42 Mn |
| 4 | Honda Motor | 147.32 Bn | 14.70 Bn | 8.46 Bn | -34.70 Bn |
| 5 | General Motors | 70.77 Bn | -34.10 Bn | 7.33 Bn | 46.57 Bn |
| 6 | Ford Motor | 48.49 Bn | -93.97 Bn | 6.08 Bn | 47.66 Bn |
| 7 | Rivian Automotive | 20.14 Bn | -3.15 Bn | 179.00 Mn | 1.02 Bn |
| 8 | Magna International | 18.12 Bn | 15.68 Bn | 1.61 Bn | 273.20 Mn |
| 9 | Stellantis | 13.39 Bn | -152.61 Bn | 5.55 Bn | 4.85 Bn |
| 10 | China Automotive Systems | 148.14 Mn | -298.84 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 35.07 Mn |
| Sep 30, 2025 | 21.23 Mn |
| Dec 31, 2024 | 22.27 Mn |
| Sep 30, 2024 | 15.81 Mn |
API Access
China Automotive Systems Operating Expenses 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=operating-expenses&ticker=CAAS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=CAAS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();