Faraday Future Intelligent Electric (FFAI) Total Current Liabilities (2020 - 2026)
Faraday Future Intelligent Electric's Total Current Liabilities was $135.92 million in Q2 2026, down 38.9% from $222.56 million a year earlier.
Powered by 
Analysis
Faraday Future Intelligent Electric (FFAI) Total Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Total Current Liabilities at Faraday Future Intelligent Electric came in at $148.17 million, down 23.1% from FY2024.
- Total Current Liabilities has now declined for five consecutive years, with a five-year compound annual growth rate of -29.5% (FY2020 to FY2025).
- In earlier years, Total Current Liabilities was $192.71 million in FY2024 (-26.2%), $261.18 million in FY2023 (-2.6%), $268.25 million in FY2022 (-8.7%) and $293.81 million in FY2021 (-65.4%).
- The Q2 2026 figure marks the lowest quarterly Total Current Liabilities since Q2 2021.
- Compared with a year earlier, Total Current Liabilities was higher in 1 of the last seven quarters, with an average decline of 16.7%.
- The best year-over-year quarter for Total Current Liabilities over five years was Q2 2024 (growth of 42.9%); the worst was Q4 2021 (a decline of 65.4%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,148.52 Bn | 983.08 Bn | 4.75 Bn | 35.43 Bn |
| 2 | Toyota Motor | 242.17 Bn | -164.57 Bn | 20.95 Bn | 208.54 Bn |
| 3 | Ferrari | 145.86 Bn | 138.30 Bn | 1.18 Bn | - |
| 4 | Honda Motor | 143.38 Bn | 10.76 Bn | 8.46 Bn | 64.48 Bn |
| 5 | General Motors | 67.56 Bn | -37.30 Bn | 7.33 Bn | 96.83 Bn |
| 6 | Ford Motor | 47.24 Bn | -95.23 Bn | 6.08 Bn | 107.93 Bn |
| 7 | Rivian Automotive | 20.35 Bn | -2.94 Bn | 179.00 Mn | 3.62 Bn |
| 8 | Magna International | 17.85 Bn | 15.41 Bn | 1.61 Bn | - |
| 9 | Stellantis | 12.63 Bn | -153.36 Bn | 5.55 Bn | 101.34 Bn |
| 10 | Faraday Future Intelligent Electric | 8.88 Mn | -84.68 Mn | -10.70 Mn | 135.92 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 135.92 Mn |
| Dec 31, 2025 | 148.17 Mn |
| Sep 30, 2025 | 211.21 Mn |
| Jun 30, 2025 | 222.56 Mn |
| Mar 31, 2025 | 188.78 Mn |
| Dec 31, 2024 | 192.71 Mn |
| Sep 30, 2024 | 247.88 Mn |
| Jun 30, 2024 | 268.16 Mn |
| Mar 31, 2024 | 256.99 Mn |
| Dec 31, 2023 | 261.18 Mn |
| Sep 30, 2023 | 191.15 Mn |
| Jun 30, 2023 | 187.62 Mn |
| Mar 31, 2023 | 194.13 Mn |
| Dec 31, 2022 | 268.25 Mn |
| Sep 30, 2022 | 176.91 Mn |
| Jun 30, 2022 | 257.72 Mn |
| Mar 31, 2022 | 242.78 Mn |
| Dec 31, 2021 | 293.81 Mn |
| Sep 30, 2021 | 238.20 Mn |
| Jun 30, 2021 | 2.48 Mn |
API Access
Faraday Future Intelligent Electric Total Current Liabilities 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=total-current-liabilities&ticker=FFAI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "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=total-current-liabilities&ticker=FFAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();