Aptera Motors (SEV) Operating Expenses (2024 - 2026)
Aptera Motors' Operating Expenses came in at $10.33 million for Q1 2026, down 7.4% from $11.16 million a year earlier and down 31.6% from the prior quarter.
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Analysis
Aptera Motors (SEV) Operating Expenses (2024 - 2026) Analysis & Trends
Over the trailing twelve months to Mar 31, 2026, Aptera Motors reported Operating Expenses of $44.54 million; for FY2025, it came in at $48.11 million, up 29.6% from FY2024.
- Going back by year, Operating Expenses was $37.12 million in FY2024.
- The five-year range for quarterly Operating Expenses is $7.94 million (Q3 2025) to $15.1 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,251.36 Bn | 1,077.39 Bn | 4.75 Bn | 4.35 Bn |
| 2 | Ferrari | 70.71 Bn | 63.20 Bn | 1.18 Bn | 471.42 Mn |
| 3 | General Motors | 66.34 Bn | -38.27 Bn | 9.28 Bn | 46.42 Bn |
| 4 | Ford Motor | 47.70 Bn | -94.79 Bn | 6.08 Bn | 47.66 Bn |
| 5 | Honda Motor | 45.36 Bn | -104.45 Bn | 8.46 Bn | -34.70 Bn |
| 6 | Toyota Motor | 24.76 Bn | -376.05 Bn | 20.95 Bn | 78.18 Bn |
| 7 | Magna International | 18.20 Bn | 12.22 Bn | 1.61 Bn | 273.20 Mn |
| 8 | Rivian Automotive | 16.68 Bn | -6.63 Bn | 179.00 Mn | 1.02 Bn |
| 9 | Stellantis | 12.31 Bn | -152.34 Bn | 5.55 Bn | 4.85 Bn |
| 10 | Aptera Motors | 50.48 Mn | 50.48 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 10.33 Mn |
| Dec 31, 2025 | 15.10 Mn |
| Sep 30, 2025 | 7.94 Mn |
| Mar 31, 2025 | 11.16 Mn |
| Dec 31, 2024 | 10.02 Mn |
| Sep 30, 2024 | 8.34 Mn |
API Access
Aptera Motors 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=SEV&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "SEV", "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=SEV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();