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 | 1,148.52 Bn | 983.08 Bn | 4.75 Bn | 1.62 Bn |
| 2 | Toyota Motor | 242.17 Bn | -164.57 Bn | 20.95 Bn | 4.03 Bn |
| 3 | Ferrari | 145.86 Bn | 138.30 Bn | 1.18 Bn | 175.04 Mn |
| 4 | Honda Motor | 143.38 Bn | 10.76 Bn | 8.46 Bn | - |
| 5 | General Motors | 67.56 Bn | -37.30 Bn | 7.33 Bn | 1.30 Bn |
| 6 | Ford Motor | 47.24 Bn | -95.23 Bn | 6.08 Bn | 1.87 Bn |
| 7 | Rivian Automotive | 20.35 Bn | -2.94 Bn | 179.00 Mn | 237.00 Mn |
| 8 | Magna International | 17.85 Bn | 15.41 Bn | 1.61 Bn | - |
| 9 | Stellantis | 12.63 Bn | -153.36 Bn | 5.55 Bn | 1.85 Bn |
| 10 | Faraday Future Intelligent Electric | 8.88 Mn | -84.68 Mn | -10.70 Mn | 8.03 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.03 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 |
| Jun 30, 2021 | 1.06 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();