Faraday Future Intelligent Electric (FFAI) Selling, General & Administrative (2020 - 2026)
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Analysis
Faraday Future Intelligent Electric (FFAI) Selling, General & Administrative (2020 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,230.49 Bn | 1,061.40 Bn | 5.49 Bn | 2.02 Bn |
| 2 | Ferrari | 154.33 Bn | 146.64 Bn | 1.14 Bn | 199.89 Mn |
| 3 | General Motors | 75.30 Bn | -27.60 Bn | 9.28 Bn | 2.03 Bn |
| 4 | Ford Motor | 48.13 Bn | -86.25 Bn | -12.63 Bn | 3.08 Bn |
| 5 | Toyota Motor | 28.58 Bn | -348.98 Bn | 19.83 Bn | 6.94 Bn |
| 6 | Rivian Automotive | 20.00 Bn | -1.70 Bn | 176.00 Mn | 572.00 Mn |
| 7 | Magna International | 17.18 Bn | 11.48 Bn | 1.63 Bn | 591.00 Mn |
| 8 | Li Auto | 12.66 Bn | -36.22 Bn | 417.98 Mn | 335.74 Mn |
| 9 | Stellantis | 12.34 Bn | -148.56 Bn | 3.94 Bn | 2.65 Bn |
| 10 | Faraday Future Intelligent Electric | 1.83 Mn | -90.73 Mn | -10.70 Mn | 14.31 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 14.31 Mn |
| Mar 31, 2026 | 9.20 Mn |
| Dec 31, 2025 | 8.27 Mn |
| Sep 30, 2025 | 19.69 Mn |
| Jun 30, 2025 | 14.10 Mn |
| Mar 31, 2025 | 13.67 Mn |
| Dec 31, 2024 | 3.84 Mn |
| Sep 30, 2024 | 8.28 Mn |
| Jun 30, 2024 | 17.20 Mn |
| Mar 31, 2024 | 13.85 Mn |
| Dec 31, 2023 | 15.29 Mn |
| Sep 30, 2023 | 24.02 Mn |
| Jun 30, 2023 | 17.06 Mn |
| Mar 31, 2023 | 26.51 Mn |
| Dec 31, 2022 | 23.70 Mn |
| Sep 30, 2022 | 28.55 Mn |
| Jun 30, 2022 | 33.25 Mn |
| Mar 31, 2022 | 27.88 Mn |
| Dec 31, 2021 | 33.76 Mn |
| Sep 30, 2021 | 36.73 Mn |
API Access
Faraday Future Intelligent Electric Selling, General & Administrative 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=selling-general-and-administrative&ticker=FFAI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=FFAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();