Faraday Future Intelligent Electric (FFAI) Selling, General & Administrative (2020 - 2026)
Faraday Future Intelligent Electric's Selling, General & Administrative was $14.31 million in Q2 2026, up 1.5% from $14.1 million a year earlier.
Faraday Future Intelligent Electric (FFAI) Selling, General & Administrative (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, Faraday Future Intelligent Electric's Selling, General & Administrative was $56.36 million through Jun 30, 2026, up 41.3% year-over-year; for FY2025, it was $55.73 million, up 29.1% from FY2024.
- Selling, General & Administrative shows a five-year compound annual growth rate of 6.3% (FY2020 to FY2025).
- In earlier years, Selling, General & Administrative was $43.16 million in FY2024 (-47.9%), $82.89 million in FY2023 (-26.5%), $112.77 million in FY2022 (+15.2%) and $97.91 million in FY2021 (+138.4%).
- Quarterly Selling, General & Administrative has moved between $3.84 million (Q4 2024) and $36.73 million (Q3 2021) over five years.
- Compared with a year earlier, Selling, General & Administrative was higher in three of the last seven quarters, with growth averaging 13.6%.
- The best year-over-year quarter for Selling, General & Administrative over five years was Q4 2021 (growth of 295.6%); the worst was Q4 2024 (a decline of 74.9%).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,146.25 Bn | 980.81 Bn | 4.75 Bn | 1.98 Bn |
| 2 | Toyota Motor | 244.39 Bn | -162.35 Bn | 20.95 Bn | 8.63 Bn |
| 3 | Ferrari | 143.73 Bn | 136.18 Bn | 1.18 Bn | 218.61 Mn |
| 4 | Honda Motor | 143.33 Bn | 10.71 Bn | 8.46 Bn | -3.60 Bn |
| 5 | General Motors | 69.61 Bn | -35.26 Bn | 7.33 Bn | 2.20 Bn |
| 6 | Ford Motor | 48.10 Bn | -94.36 Bn | 6.08 Bn | 2.68 Bn |
| 7 | Rivian Automotive | 20.10 Bn | -3.19 Bn | 179.00 Mn | 549.00 Mn |
| 8 | Magna International | 18.07 Bn | 15.63 Bn | 1.61 Bn | 585.00 Mn |
| 9 | Stellantis | 13.56 Bn | -152.44 Bn | 5.55 Bn | 2.89 Bn |
| 10 | Faraday Future Intelligent Electric | 9.17 Mn | -84.39 Mn | -10.70 Mn | 14.31 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 14.31 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 |
| Jun 30, 2021 | 16.43 Mn |
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_KEY
import 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();