Ford Motor (F) Return on Sales [ROS] (2009 - 2026)
Ford Motor (F) reported Return on Sales [ROS] of 2.94% for Q3 2026, down 0.15 percentage points from 3.08% a year earlier but up 1.61 percentage points from the prior quarter.
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Analysis
Ford Motor (F) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, Ford Motor's Return on Sales [ROS] came in at -3.82%, down 5.73 percentage points year-over-year; for FY2025, it was -4.90%, down 7.72 percentage points from FY2024.
- Return on Sales [ROS] has declined for three consecutive years, with a five-year change of -1.43 percentage points (FY2020 to FY2025).
- By year, Return on Sales [ROS] came in at 2.82% in FY2024 (-0.28 pp), 3.10% in FY2023 (-0.87 pp), 3.97% in FY2022 (+0.65 pp) and 3.32% in FY2021 (+6.78 pp).
- Five-year quarterly Return on Sales [ROS] spans a low of -25.18% in Q4 2025 and a high of 7.14% in Q2 2022.
- Year over year, Return on Sales [ROS] gained in four of the last eight quarters, with an average year-over-year change of -2.96 percentage points.
- The high point for year-over-year Return on Sales [ROS] in five years was Q4 2021 (a gain of 8.75 percentage points); the low point was Q4 2025 (a drop of 27.74 percentage points).
- Per Business Quant data, the three quarters before Q3 2026 came in at 1.32% (Q2 2026), 5.38% (Q1 2026) and -25.18% (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,230.49 Bn | 1,061.40 Bn | 5.49 Bn | 2.56% |
| 2 | Ferrari | 154.33 Bn | 146.64 Bn | 1.14 Bn | 29.70% |
| 3 | General Motors | 75.30 Bn | -27.60 Bn | 9.28 Bn | 7.19% |
| 4 | Ford Motor | 48.13 Bn | -86.25 Bn | -12.63 Bn | 4.93% |
| 5 | Toyota Motor | 28.58 Bn | -348.98 Bn | 19.83 Bn | 8.39% |
| 6 | Rivian Automotive | 20.00 Bn | -1.70 Bn | 176.00 Mn | -40.88% |
| 7 | Magna International | 17.18 Bn | 11.48 Bn | 1.63 Bn | 13.52% |
| 8 | Li Auto | 12.66 Bn | -36.22 Bn | 417.98 Mn | -8.96% |
| 9 | Stellantis | 12.34 Bn | -148.56 Bn | 3.94 Bn | -0.88% |
| 10 | Xpeng | 9.64 Bn | 9.64 Bn | 599.70 Mn | -5.79% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 4.93% |
| Jun 30, 2026 | 2.18% |
| Mar 31, 2026 | 8.04% |
| Dec 31, 2025 | -40.49% |
| Sep 30, 2025 | 5.76% |
| Jun 30, 2025 | 2.02% |
| Mar 31, 2025 | 1.34% |
| Dec 31, 2024 | 5.36% |
| Sep 30, 2024 | 3.93% |
| Jun 30, 2024 | 8.74% |
| Mar 31, 2024 | 5.80% |
| Dec 31, 2023 | -1.15% |
| Sep 30, 2023 | 5.27% |
| Jun 30, 2023 | 11.36% |
| Mar 31, 2023 | 9.60% |
| Dec 31, 2022 | 6.85% |
| Sep 30, 2022 | 2.14% |
| Jun 30, 2022 | 11.69% |
| Mar 31, 2022 | 5.26% |
| Dec 31, 2021 | 2.80% |
API Access
Ford Motor Return on Sales [ROS] 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-sales-%5Bros%5D&ticker=F&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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-sales-%5Bros%5D&ticker=F&period=max&api_key=YOUR_API_KEY");
const data = await res.json();