China Automotive Systems (CAAS) Non Operating Interest Expenses (2024 - 2025)
China Automotive Systems (CAAS) recorded Non Operating Interest Expenses of -$460,000 in Q4 2025, compared with -$1.1 million a year earlier.
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Analysis
China Automotive Systems (CAAS) Non Operating Interest Expenses (2024 - 2025) Analysis & Trends
For FY2025, China Automotive Systems reported Non Operating Interest Expenses of -$1.7 million.
- Across earlier years, Non Operating Interest Expenses came in at -$1.81 million in FY2024 and -$1.02 million in FY2023.
- The Q4 2025 figure is the highest quarterly Non Operating Interest Expenses since Q3 2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,148.52 Bn | 983.08 Bn | 4.75 Bn | 81.00 Mn |
| 2 | Toyota Motor | 242.17 Bn | -164.57 Bn | 20.95 Bn | - |
| 3 | Ferrari | 145.86 Bn | 138.30 Bn | 1.18 Bn | 24.66 Mn |
| 4 | Honda Motor | 143.38 Bn | 10.76 Bn | 8.46 Bn | -122.57 Mn |
| 5 | General Motors | 67.56 Bn | -37.30 Bn | 7.33 Bn | 151.00 Mn |
| 6 | Ford Motor | 47.24 Bn | -95.23 Bn | 6.08 Bn | 357.00 Mn |
| 7 | Rivian Automotive | 20.35 Bn | -2.94 Bn | 179.00 Mn | 68.00 Mn |
| 8 | Magna International | 17.85 Bn | 15.41 Bn | 1.61 Bn | - |
| 9 | Stellantis | 12.63 Bn | -153.36 Bn | 5.55 Bn | 234.80 Mn |
| 10 | China Automotive Systems | 144.82 Mn | -302.16 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | -460,000.00 |
| Sep 30, 2025 | -467,000.00 |
| Dec 31, 2024 | -1.10 Mn |
| Sep 30, 2024 | -271,000.00 |
API Access
China Automotive Systems Non Operating Interest 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=non-operating-interest-expenses&ticker=CAAS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-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=non-operating-interest-expenses&ticker=CAAS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();