Faraday Future Intelligent Electric (FFAI) Non Operating Interest Expenses (2020 - 2026)
Faraday Future Intelligent Electric (FFAI) posted Non Operating Interest Expenses of $2.35 million for Q2 2026, up 189.2% from $812,000 a year earlier.
Faraday Future Intelligent Electric (FFAI) Non Operating Interest Expenses (2020 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Non Operating Interest Expenses at Faraday Future Intelligent Electric was $8.7 million, up 579.3% year-over-year; for FY2025, it came in at $8.65 million, down 0.7% from FY2024.
- Annual Non Operating Interest Expenses shows a five-year compound annual growth rate of -23.1% (FY2020 to FY2025).
- In prior years, Faraday Future Intelligent Electric's Non Operating Interest Expenses was $8.71 million in FY2024 (+186.4%), $3.04 million in FY2023 (-45.3%), $5.56 million in FY2022 (-81.6%) and $30.18 million in FY2021 (-6.2%).
- Quarterly Non Operating Interest Expenses has run from a low of -$4.49 million in Q4 2024 to a high of $7.32 million in Q1 2024 over five years.
- On a year-over-year basis, Non Operating Interest Expenses increased in 1 of the last four quarters, with growth averaging 7.6%.
- The strongest year-over-year quarter for Non Operating Interest Expenses in the past five years was Q4 2023, with growth of 422.9%; the weakest was Q3 2021, with a decline of 96.5%.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,148.52 Bn | 983.08 Bn | 4.75 Bn | 81.00 Mn |
| 2 | Toyota Motor | 242.17 Bn | -164.57 Bn | 20.95 Bn | - |
| 3 | Ferrari | 145.86 Bn | 138.30 Bn | 1.18 Bn | 24.66 Mn |
| 4 | Honda Motor | 143.38 Bn | 10.76 Bn | 8.46 Bn | -122.57 Mn |
| 5 | General Motors | 67.56 Bn | -37.30 Bn | 7.33 Bn | 151.00 Mn |
| 6 | Ford Motor | 47.24 Bn | -95.23 Bn | 6.08 Bn | 357.00 Mn |
| 7 | Rivian Automotive | 20.35 Bn | -2.94 Bn | 179.00 Mn | 68.00 Mn |
| 8 | Magna International | 17.85 Bn | 15.41 Bn | 1.61 Bn | - |
| 9 | Stellantis | 12.63 Bn | -153.36 Bn | 5.55 Bn | 234.80 Mn |
| 10 | Faraday Future Intelligent Electric | 8.88 Mn | -84.68 Mn | -10.70 Mn | 2.35 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.35 Mn |
| Dec 31, 2025 | 3.29 Mn |
| Sep 30, 2025 | 2.24 Mn |
| Jun 30, 2025 | 812,000.00 |
| Mar 31, 2025 | 2.30 Mn |
| Dec 31, 2024 | -4.49 Mn |
| Sep 30, 2024 | 2.65 Mn |
| Jun 30, 2024 | 3.23 Mn |
| Mar 31, 2024 | 7.32 Mn |
| Dec 31, 2023 | 2.31 Mn |
| Sep 30, 2023 | 159,000.00 |
| Jun 30, 2023 | 279,000.00 |
| Mar 31, 2023 | 292,000.00 |
| Dec 31, 2022 | 442,000.00 |
| Sep 30, 2022 | 245,000.00 |
| Jun 30, 2022 | 1.13 Mn |
| Mar 31, 2022 | 3.75 Mn |
| Dec 31, 2021 | 3.63 Mn |
| Sep 30, 2021 | 296,000.00 |
| Jun 30, 2021 | 8.39 Mn |
Faraday Future Intelligent Electric Non Operating Interest Expenses 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-operating-interest-expenses&ticker=FFAI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "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-operating-interest-expenses&ticker=FFAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();