Kandi Technologies (KNDI) Operating Expenses (2023 - 2024)
Kandi Technologies (KNDI) reported Operating Expenses of -$4.39 million for the year ended Dec 31, 2025, compared with -$108.05 million a year earlier.
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Analysis
Kandi Technologies (KNDI) Operating Expenses (2023 - 2024) Analysis & Trends
Dating back to the year ended Dec 31, 2022, Kandi Technologies' Operating Expenses record includes 4 years.
- According to Business Quant data, Operating Expenses came in at -$108.05 million in the year ended Dec 31, 2024, -$54.42 million in the year ended Dec 31, 2023 and -$47.2 million in the year ended Dec 31, 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,148.52 Bn | 983.08 Bn | 4.75 Bn | 4.35 Bn |
| 2 | Toyota Motor | 242.17 Bn | -164.57 Bn | 20.95 Bn | 78.18 Bn |
| 3 | Ferrari | 145.86 Bn | 138.30 Bn | 1.18 Bn | 471.42 Mn |
| 4 | Honda Motor | 143.38 Bn | 10.76 Bn | 8.46 Bn | -34.70 Bn |
| 5 | General Motors | 67.56 Bn | -37.30 Bn | 7.33 Bn | 46.57 Bn |
| 6 | Ford Motor | 47.24 Bn | -95.23 Bn | 6.08 Bn | 47.66 Bn |
| 7 | Rivian Automotive | 20.35 Bn | -2.94 Bn | 179.00 Mn | 1.02 Bn |
| 8 | Magna International | 17.85 Bn | 15.41 Bn | 1.61 Bn | 273.20 Mn |
| 9 | Stellantis | 12.63 Bn | -153.36 Bn | 5.55 Bn | 4.85 Bn |
| 10 | Kandi Technologies | 65.34 Mn | -505.26 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2024 | -68.63 Mn |
| Sep 30, 2024 | -16.10 Mn |
| Jun 30, 2024 | -13.11 Mn |
| Dec 31, 2023 | -15.69 Mn |
| Sep 30, 2023 | -14.51 Mn |
| Jun 30, 2023 | -13.97 Mn |
API Access
Kandi Technologies 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=KNDI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "KNDI", "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=KNDI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();