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.
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 Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,142.14 Bn | 976.70 Bn | 4.75 Bn | 4.35 Bn |
| 2 | Toyota Motor | 240.48 Bn | -166.26 Bn | 20.95 Bn | 78.18 Bn |
| 3 | Ferrari | 149.20 Bn | 141.65 Bn | 1.18 Bn | 471.42 Mn |
| 4 | Honda Motor | 145.55 Bn | 12.93 Bn | 8.46 Bn | -34.70 Bn |
| 5 | General Motors | 70.62 Bn | -34.25 Bn | 7.33 Bn | 46.57 Bn |
| 6 | Ford Motor | 48.18 Bn | -94.29 Bn | 6.08 Bn | 47.66 Bn |
| 7 | Rivian Automotive | 20.39 Bn | -2.90 Bn | 179.00 Mn | 1.02 Bn |
| 8 | Magna International | 18.08 Bn | 15.64 Bn | 1.61 Bn | 273.20 Mn |
| 9 | Stellantis | 12.84 Bn | -153.16 Bn | 5.55 Bn | 4.85 Bn |
| 10 | Aptera Motors | 63.65 Mn | 11.16 Mn | - | 10.33 Mn |
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 |
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_KEY
import 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();