Faraday Future Intelligent Electric (FFAI) Research & Development (2020 - 2026)
Faraday Future Intelligent Electric's Research & Development came in at $4.14 million for Q2 2026, down 17.2% from $5 million a year earlier.
Powered by 
Analysis
Faraday Future Intelligent Electric (FFAI) Research & Development (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Faraday Future Intelligent Electric reported Research & Development of $14.33 million, down 46.2% year-over-year; for FY2025, it came in at $16.6 million, down 34.2% from FY2024.
- Research & Development has declined in each of the last three years, with a five-year compound annual growth rate of -3.8% (FY2020 to FY2025).
- Going back by year, Research & Development was $25.23 million in FY2024 (-80.9%), $132.02 million in FY2023 (-56.0%), $299.99 million in FY2022 (+71.5%) and $174.94 million in FY2021 (+766.6%).
- The five-year range for quarterly Research & Development is -$1.46 million (Q4 2025) to $114.94 million (Q1 2022).
- Year-over-year, Research & Development increased in two of the last six quarters, with an average decline of 13.6%.
- The fastest year-over-year change in Research & Development over five years came in Q2 2025 (growth of 50.9%), and the weakest in Q1 2024 (a decline of 88.4%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,148.52 Bn | 983.08 Bn | 4.75 Bn | 2.37 Bn |
| 2 | Toyota Motor | 242.17 Bn | -164.57 Bn | 20.95 Bn | - |
| 3 | Ferrari | 145.86 Bn | 138.30 Bn | 1.18 Bn | 252.82 Mn |
| 4 | Honda Motor | 143.38 Bn | 10.76 Bn | 8.46 Bn | -1.53 Bn |
| 5 | General Motors | 67.56 Bn | -37.30 Bn | 7.33 Bn | - |
| 6 | Ford Motor | 47.24 Bn | -95.23 Bn | 6.08 Bn | - |
| 7 | Rivian Automotive | 20.35 Bn | -2.94 Bn | 179.00 Mn | 466.00 Mn |
| 8 | Magna International | 17.85 Bn | 15.41 Bn | 1.61 Bn | - |
| 9 | Stellantis | 12.63 Bn | -153.36 Bn | 5.55 Bn | 1.52 Bn |
| 10 | Faraday Future Intelligent Electric | 8.88 Mn | -84.68 Mn | -10.70 Mn | 4.14 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.14 Mn |
| Dec 31, 2025 | -1.46 Mn |
| Sep 30, 2025 | 6.64 Mn |
| Jun 30, 2025 | 5.00 Mn |
| Mar 31, 2025 | 6.42 Mn |
| Dec 31, 2024 | 10.04 Mn |
| Sep 30, 2024 | 5.18 Mn |
| Jun 30, 2024 | 3.32 Mn |
| Mar 31, 2024 | 6.69 Mn |
| Dec 31, 2023 | 27.35 Mn |
| Sep 30, 2023 | 21.59 Mn |
| Jun 30, 2023 | 25.27 Mn |
| Mar 31, 2023 | 57.81 Mn |
| Dec 31, 2022 | 40.25 Mn |
| Sep 30, 2022 | 47.58 Mn |
| Jun 30, 2022 | 96.61 Mn |
| Mar 31, 2022 | 114.94 Mn |
| Dec 31, 2021 | 80.43 Mn |
| Sep 30, 2021 | 79.76 Mn |
| Jun 30, 2021 | 8.67 Mn |
API Access
Faraday Future Intelligent Electric Research & Development 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=research-and-development&ticker=FFAI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=FFAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();