Faraday Future Intelligent Electric (FFAI) Operating Expenses (2020 - 2026)
Faraday Future Intelligent Electric (FFAI) posted Operating Expenses of $24.13 million for Q2 2026, up 13.5% from $21.25 million a year earlier.
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Analysis
Faraday Future Intelligent Electric (FFAI) Operating Expenses (2020 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Faraday Future Intelligent Electric was $234.64 million, up 308.7% year-over-year; for FY2025, it came in at $233.28 million, up 252.1% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of 29.1% (FY2020 to FY2025).
- In prior years, Faraday Future Intelligent Electric's Operating Expenses was $66.25 million in FY2024 (-72.9%), $244.23 million in FY2023 (-44.1%), $437.14 million in FY2022 (+23.4%) and $354.15 million in FY2021 (+445.4%).
- Quarterly Operating Expenses has run from a low of $3.76 million in Q3 2024 to a high of $185.66 million in Q3 2021 over five years.
- On a year-over-year basis, Operating Expenses increased in two of the last six quarters, with an average decline of 19.3%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q3 2021, with growth of 958.0%; the weakest was Q3 2024, with a decline of 92.6%.
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 | Faraday Future Intelligent Electric | 8.88 Mn | -84.68 Mn | -10.70 Mn | 24.13 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 24.13 Mn |
| Dec 31, 2025 | 16.68 Mn |
| Sep 30, 2025 | 172.59 Mn |
| Jun 30, 2025 | 21.25 Mn |
| Mar 31, 2025 | 22.77 Mn |
| Dec 31, 2024 | 9.63 Mn |
| Sep 30, 2024 | 3.76 Mn |
| Jun 30, 2024 | 29.93 Mn |
| Mar 31, 2024 | 22.92 Mn |
| Dec 31, 2023 | 48.15 Mn |
| Sep 30, 2023 | 50.87 Mn |
| Jun 30, 2023 | 49.37 Mn |
| Mar 31, 2023 | 95.85 Mn |
| Dec 31, 2022 | 70.72 Mn |
| Sep 30, 2022 | 79.96 Mn |
| Jun 30, 2022 | 137.47 Mn |
| Mar 31, 2022 | 149.00 Mn |
| Dec 31, 2021 | 121.41 Mn |
| Sep 30, 2021 | 185.66 Mn |
| Jun 30, 2021 | 27.69 Mn |
API Access
Faraday Future Intelligent Electric 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=FFAI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "FFAI", "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=FFAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();