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 | 1,146.25 Bn | 980.81 Bn | 4.75 Bn | 3.95% |
| 2 | Toyota Motor | 244.39 Bn | -162.35 Bn | 20.95 Bn | 2.97% |
| 3 | Ferrari | 143.73 Bn | 136.18 Bn | 1.18 Bn | - |
| 4 | Honda Motor | 143.33 Bn | 10.71 Bn | 8.46 Bn | 2.00% |
| 5 | General Motors | 69.61 Bn | -35.26 Bn | 7.33 Bn | 0.98% |
| 6 | Ford Motor | 48.10 Bn | -94.36 Bn | 6.08 Bn | -3.99% |
| 7 | Rivian Automotive | 20.10 Bn | -3.19 Bn | 179.00 Mn | -31.93% |
| 8 | Magna International | 18.07 Bn | 15.63 Bn | 1.61 Bn | - |
| 9 | Stellantis | 13.56 Bn | -152.44 Bn | 5.55 Bn | -0.99% |
| 10 | Faraday Future Intelligent Electric | 9.17 Mn | -84.39 Mn | -10.70 Mn | -225.35% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -225.35% |
| 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% |
| Jun 30, 2021 | -35.44% |
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();