Faraday Future Intelligent Electric (FFAI) Non-Current Assets (2020 - 2026)
Faraday Future Intelligent Electric (FFAI) posted Non-Current Assets of $227.66 million for Q2 2026, down 29.5% from $323.15 million a year earlier.
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Analysis
Faraday Future Intelligent Electric (FFAI) Non-Current Assets (2020 - 2026) Analysis & Trends
At the end of FY2025, Faraday Future Intelligent Electric's Non-Current Assets came in at $209.34 million, down 40.8% from FY2024.
- Annual Non-Current Assets has declined for three consecutive years, with a five-year compound annual growth rate of -7.1% (FY2020 to FY2025).
- In prior years, Faraday Future Intelligent Electric's Non-Current Assets was $353.52 million in FY2024 (-19.5%), $439.18 million in FY2023 (-1.3%), $444.76 million in FY2022 (+48.2%) and $300.18 million in FY2021 (-0.6%).
- Quarterly Non-Current Assets has run from a low of $209.34 million in Q4 2025 to a high of $472.54 million in Q1 2023 over five years.
- The strongest year-over-year quarter for Non-Current Assets in the past five years was Q2 2022, with growth of 79.8%; the weakest was Q4 2025, with a decline of 40.8%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,148.52 Bn | 983.08 Bn | 4.75 Bn | 79.77 Bn |
| 2 | Toyota Motor | 242.17 Bn | -164.57 Bn | 20.95 Bn | 400.16 Bn |
| 3 | Ferrari | 145.86 Bn | 138.30 Bn | 1.18 Bn | 5.81 Bn |
| 4 | Honda Motor | 143.38 Bn | 10.76 Bn | 8.46 Bn | 132.91 Bn |
| 5 | General Motors | 67.56 Bn | -37.30 Bn | 7.33 Bn | 172.73 Bn |
| 6 | Ford Motor | 47.24 Bn | -95.23 Bn | 6.08 Bn | 168.04 Bn |
| 7 | Rivian Automotive | 20.35 Bn | -2.94 Bn | 179.00 Mn | 7.52 Bn |
| 8 | Magna International | 17.85 Bn | 15.41 Bn | 1.61 Bn | - |
| 9 | Stellantis | 12.63 Bn | -153.36 Bn | 5.55 Bn | 143.02 Bn |
| 10 | Faraday Future Intelligent Electric | 8.88 Mn | -84.68 Mn | -10.70 Mn | 227.66 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 227.66 Mn |
| Dec 31, 2025 | 209.34 Mn |
| Sep 30, 2025 | 225.56 Mn |
| Jun 30, 2025 | 323.15 Mn |
| Mar 31, 2025 | 334.11 Mn |
| Dec 31, 2024 | 353.52 Mn |
| Sep 30, 2024 | 369.40 Mn |
| Jun 30, 2024 | 387.82 Mn |
| Mar 31, 2024 | 417.21 Mn |
| Dec 31, 2023 | 439.18 Mn |
| Sep 30, 2023 | 452.23 Mn |
| Jun 30, 2023 | 461.89 Mn |
| Mar 31, 2023 | 472.54 Mn |
| Dec 31, 2022 | 444.76 Mn |
| Sep 30, 2022 | 438.47 Mn |
| Jun 30, 2022 | 413.13 Mn |
| Mar 31, 2022 | 364.43 Mn |
| Dec 31, 2021 | 300.18 Mn |
| Sep 30, 2021 | 268.85 Mn |
| Jun 30, 2021 | 229.79 Mn |
API Access
Faraday Future Intelligent Electric Non-Current Assets 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=non-current-assets&ticker=FFAI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=FFAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();