Ford Motor (F) Return on Capital Employed [ROCE] (2009 - 2026)
Ford Motor (F) posted Return on Capital Employed [ROCE] of -3.99% for Q2 2026, down 5.69 percentage points from 1.69% a year earlier and unchanged from the prior quarter.
Ford Motor (F) Return on Capital Employed [ROCE] (2009 - 2026) Analysis & Trends
For FY2025, Ford Motor's Return on Capital Employed [ROCE] came in at -5.32%, down 8.35 percentage points from FY2024.
- Annual Return on Capital Employed [ROCE] has declined for three consecutive years, with a five-year change of -2.66 percentage points (FY2020 to FY2025).
- In prior years, Ford Motor's Return on Capital Employed [ROCE] was 3.03% in FY2024 (-0.32 pp), 3.35% in FY2023 (-0.59 pp), 3.93% in FY2022 (+1.29 pp) and 2.64% in FY2021 (+5.30 pp).
- Quarterly Return on Capital Employed [ROCE] has run from a low of -5.09% in Q4 2025 to a high of 4.39% in Q1 2023 over five years.
- On a year-over-year basis, Return on Capital Employed [ROCE] has declined in each of the last 11 quarters, with an average year-over-year change of -2.96 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Return on Capital Employed [ROCE] in the past five years was Q4 2021, with a gain of 5.40 percentage points; the weakest was Q4 2025, with a drop of 8.00 percentage points.
- According to Business Quant data, Return on Capital Employed [ROCE] for the three prior quarters was -4.00% (Q1 2026), -5.09% (Q4 2025) and 2.01% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,148.52 Bn | 983.08 Bn | 4.75 Bn | 3.95% |
| 2 | Toyota Motor | 242.17 Bn | -164.57 Bn | 20.95 Bn | 2.97% |
| 3 | Ferrari | 145.86 Bn | 138.30 Bn | 1.18 Bn | - |
| 4 | Honda Motor | 143.38 Bn | 10.76 Bn | 8.46 Bn | 2.00% |
| 5 | General Motors | 67.56 Bn | -37.30 Bn | 7.33 Bn | 0.98% |
| 6 | Ford Motor | 47.24 Bn | -95.23 Bn | 6.08 Bn | -3.99% |
| 7 | Rivian Automotive | 20.35 Bn | -2.94 Bn | 179.00 Mn | -31.93% |
| 8 | Magna International | 17.85 Bn | 15.41 Bn | 1.61 Bn | - |
| 9 | Stellantis | 12.63 Bn | -153.36 Bn | 5.55 Bn | -0.99% |
| 10 | Li Auto | 11.52 Bn | -42.48 Bn | 417.98 Mn | -7.79% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -3.99% |
| Mar 31, 2026 | -4.00% |
| Dec 31, 2025 | -5.09% |
| Sep 30, 2025 | 2.01% |
| Jun 30, 2025 | 1.69% |
| Mar 31, 2025 | 2.45% |
| Dec 31, 2024 | 2.91% |
| Sep 30, 2024 | 2.17% |
| Jun 30, 2024 | 2.32% |
| Mar 31, 2024 | 2.68% |
| Dec 31, 2023 | 3.23% |
| Sep 30, 2023 | 4.36% |
| Jun 30, 2023 | 4.14% |
| Mar 31, 2023 | 4.39% |
| Dec 31, 2022 | 4.06% |
| Sep 30, 2022 | 3.49% |
| Jun 30, 2022 | 3.86% |
| Mar 31, 2022 | 2.07% |
| Dec 31, 2021 | 2.76% |
| Sep 30, 2021 | 0.83% |
Ford Motor 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=F&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "F", "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=F&period=max&api_key=YOUR_API_KEY");
const data = await res.json();