Faraday Future Intelligent Electric (FFAI) Depreciation & Amortization (CF) (2020 - 2026)
Faraday Future Intelligent Electric (FFAI) reported Depreciation & Amortization (CF) of $8.03 million for Q2 2026, down 59.5% from $19.8 million a year earlier.
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Analysis
Faraday Future Intelligent Electric (FFAI) Depreciation & Amortization (CF) (2020 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Faraday Future Intelligent Electric's Depreciation & Amortization (CF) came in at $55.32 million, down 24.0% year-over-year; for FY2025, it was $64.81 million, down 9.3% from FY2024.
- Depreciation & Amortization (CF) has a five-year compound annual growth rate of 79.1% (FY2020 to FY2025).
- By year, Depreciation & Amortization (CF) came in at $71.44 million in FY2024 (+68.2%), $42.47 million in FY2023, $2.98 million in FY2022 (-0.8%) and $3 million in FY2021 (-14.7%).
- The Q2 2026 figure ranks as the lowest quarterly Depreciation & Amortization (CF) since Q1 2023.
- Year over year, Depreciation & Amortization (CF) gained in four of the last seven quarters, with an average decline of 5.9%.
- The high point for year-over-year Depreciation & Amortization (CF) in five years was Q1 2022 (growth of 391.2%); the low point was Q1 2023 (a decline of 77.3%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,230.49 Bn | 1,061.40 Bn | 5.49 Bn | 1.85 Bn |
| 2 | Ferrari | 154.33 Bn | 146.64 Bn | 1.14 Bn | 217.75 Mn |
| 3 | General Motors | 75.30 Bn | -27.60 Bn | 9.28 Bn | 1.64 Bn |
| 4 | Ford Motor | 48.13 Bn | -86.25 Bn | -12.63 Bn | 1.99 Bn |
| 5 | Toyota Motor | 28.58 Bn | -348.98 Bn | 19.83 Bn | 4.06 Bn |
| 6 | Rivian Automotive | 20.00 Bn | -1.70 Bn | 176.00 Mn | 251.00 Mn |
| 7 | Magna International | 17.18 Bn | 11.48 Bn | 1.63 Bn | - |
| 8 | Li Auto | 12.66 Bn | -36.22 Bn | 417.98 Mn | - |
| 9 | Stellantis | 12.34 Bn | -148.56 Bn | 3.94 Bn | 1.81 Bn |
| 10 | Faraday Future Intelligent Electric | 1.83 Mn | -90.73 Mn | -10.70 Mn | 8.03 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.03 Mn |
| Mar 31, 2026 | 8.10 Mn |
| Dec 31, 2025 | 8.27 Mn |
| Sep 30, 2025 | 19.23 Mn |
| Jun 30, 2025 | 19.80 Mn |
| Mar 31, 2025 | 17.53 Mn |
| Dec 31, 2024 | 17.94 Mn |
| Sep 30, 2024 | 17.56 Mn |
| Jun 30, 2024 | 18.22 Mn |
| Mar 31, 2024 | 17.73 Mn |
| Dec 31, 2023 | 14.80 Mn |
| Sep 30, 2023 | 13.14 Mn |
| Jun 30, 2023 | 13.43 Mn |
| Mar 31, 2023 | 1.10 Mn |
| Dec 31, 2022 | 443,000.00 |
| Sep 30, 2022 | -7.31 Mn |
| Jun 30, 2022 | 4.99 Mn |
| Mar 31, 2022 | 4.85 Mn |
| Dec 31, 2021 | -1.27 Mn |
| Sep 30, 2021 | 2.22 Mn |
API Access
Faraday Future Intelligent Electric Depreciation & Amortization (CF) 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=depreciation-and-amortization-cf&ticker=FFAI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "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=depreciation-and-amortization-cf&ticker=FFAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();