Faraday Future Intelligent Electric (FFAI) Return on Capital Employed [ROCE] (2021 - 2026)
Faraday Future Intelligent Electric (FFAI) recorded Return on Capital Employed [ROCE] of -225.35% in Q2 2026, down 144.59 percentage points from -80.76% a year earlier.
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Analysis
Faraday Future Intelligent Electric (FFAI) Return on Capital Employed [ROCE] (2021 - 2026) Analysis & Trends
For FY2025, Faraday Future Intelligent Electric reported Return on Capital Employed [ROCE] of -162.71%, down 110.22 percentage points from FY2024.
- Annual Return on Capital Employed [ROCE] has a four-year change of -51.38 percentage points (FY2021 to FY2025).
- Across earlier years, Return on Capital Employed [ROCE] came in at -52.49% in FY2024 (+53.95 pp), -106.44% in FY2023 (-9.33 pp), -97.12% in FY2022 (+14.21 pp) and -111.33% in FY2021.
- The Q2 2026 figure is the lowest quarterly Return on Capital Employed [ROCE] in data going back to Q2 2021.
- On a year-over-year basis, Return on Capital Employed [ROCE] rose in three of the last seven quarters, with an average year-over-year change of -52.35 percentage points.
- Peak year-over-year performance for Return on Capital Employed [ROCE] in the last five years was a gain of 73.65 percentage points in Q2 2023, against a drop of 161.62 percentage points in Q4 2025 at the low end.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,230.49 Bn | 1,061.40 Bn | 5.49 Bn | 3.08% |
| 2 | Ferrari | 154.33 Bn | 146.64 Bn | 1.14 Bn | - |
| 3 | General Motors | 75.30 Bn | -27.60 Bn | 9.28 Bn | 2.41% |
| 4 | Ford Motor | 48.13 Bn | -86.25 Bn | -12.63 Bn | -4.03% |
| 5 | Toyota Motor | 28.58 Bn | -348.98 Bn | 19.83 Bn | 5.90% |
| 6 | Rivian Automotive | 20.00 Bn | -1.70 Bn | 176.00 Mn | -29.34% |
| 7 | Magna International | 17.18 Bn | 11.48 Bn | 1.63 Bn | - |
| 8 | Li Auto | 12.66 Bn | -36.22 Bn | 417.98 Mn | -7.82% |
| 9 | Stellantis | 12.34 Bn | -148.56 Bn | 3.94 Bn | -13.04% |
| 10 | Faraday Future Intelligent Electric | 1.83 Mn | -90.73 Mn | -10.70 Mn | -240.09% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -240.09% |
| Mar 31, 2026 | -221.18% |
| Dec 31, 2025 | -222.85% |
| Sep 30, 2025 | -224.71% |
| Jun 30, 2025 | -80.76% |
| Mar 31, 2025 | -65.42% |
| Dec 31, 2024 | -61.23% |
| Sep 30, 2024 | -91.05% |
| Jun 30, 2024 | -108.39% |
| Mar 31, 2024 | -90.54% |
| Dec 31, 2023 | -97.34% |
| Sep 30, 2023 | -75.58% |
| Jun 30, 2023 | -78.76% |
| Mar 31, 2023 | -107.12% |
| Dec 31, 2022 | -163.88% |
| Sep 30, 2022 | -125.87% |
| Jun 30, 2022 | -152.41% |
| Mar 31, 2022 | -85.78% |
| Dec 31, 2021 | -52.73% |
| Sep 30, 2021 | -64.03% |
API Access
Faraday Future Intelligent Electric Return on Capital Employed [ROCE] 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=return-on-capital-employed-%5Broce%5D&ticker=FFAI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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=return-on-capital-employed-%5Broce%5D&ticker=FFAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();