Faraday Future Intelligent Electric (FFAI) Notes Payables (2020 - 2026)
Faraday Future Intelligent Electric's Short-Term Borrowings was $29.67 million in Q2 2026, up 247.9% from $8.53 million a year earlier.
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Analysis
Faraday Future Intelligent Electric (FFAI) Notes Payables (2020 - 2026) Analysis & Trends
At the end of FY2025, Short-Term Borrowings at Faraday Future Intelligent Electric came in at $7.94 million, down 16.7% from FY2024.
- Short-Term Borrowings shows a five-year compound annual growth rate of -52.6% (FY2020 to FY2025).
- In earlier years, Short-Term Borrowings was $9.53 million in FY2024 (-90.6%), $100.91 million in FY2023, $8.96 million in FY2022 (-93.2%) and $132.37 million in FY2021 (-60.2%).
- The Q2 2026 figure marks the highest quarterly Short-Term Borrowings since Q3 2024.
- Compared with a year earlier, Short-Term Borrowings was higher in two of the last seven quarters, with growth averaging 41.4%.
- The best year-over-year quarter for Short-Term Borrowings over five years was Q1 2024 (growth of 754.2%); the worst was Q4 2022 (a decline of 93.2%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Tesla | 1,230.49 Bn | 1,061.40 Bn | 5.49 Bn |
| 2 | Ferrari | 154.33 Bn | 146.64 Bn | 1.14 Bn |
| 3 | General Motors | 75.30 Bn | -27.60 Bn | 9.28 Bn |
| 4 | Ford Motor | 48.13 Bn | -86.25 Bn | -12.63 Bn |
| 5 | Toyota Motor | 28.58 Bn | -348.98 Bn | 19.83 Bn |
| 6 | Rivian Automotive | 20.00 Bn | -1.70 Bn | 176.00 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 |
| 10 | Faraday Future Intelligent Electric | 1.83 Mn | -90.73 Mn | -10.70 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 29.67 Mn |
| Mar 31, 2026 | 5.86 Mn |
| Dec 31, 2025 | 7.94 Mn |
| Sep 30, 2025 | 10.39 Mn |
| Jun 30, 2025 | 8.53 Mn |
| Mar 31, 2025 | 8.43 Mn |
| Dec 31, 2024 | 9.53 Mn |
| Sep 30, 2024 | 70.80 Mn |
| Jun 30, 2024 | 92.55 Mn |
| Mar 31, 2024 | 78.60 Mn |
| Dec 31, 2023 | 100.91 Mn |
| Sep 30, 2023 | 13.76 Mn |
| Jun 30, 2023 | 13.68 Mn |
| Mar 31, 2023 | 9.20 Mn |
| Dec 31, 2022 | 8.96 Mn |
| Sep 30, 2022 | 12.25 Mn |
| Jun 30, 2022 | 73.50 Mn |
| Mar 31, 2022 | 78.87 Mn |
| Dec 31, 2021 | 132.37 Mn |
| Sep 30, 2021 | 103.51 Mn |
API Access
Faraday Future Intelligent Electric Notes Payables 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=notes-payables&ticker=FFAI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "notes-payables", "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=notes-payables&ticker=FFAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();