General Motors (GM) Return on Sales [ROS] (2010 - 2026)
General Motors' Return on Sales [ROS] was 7.19% in Q3 2026, up 4.98 percentage points from 2.21% a year earlier and up 4.16 percentage points from the prior quarter.
Powered by 
Analysis
General Motors (GM) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, General Motors' Return on Sales [ROS] was 2.32% through Sep 30, 2026, down 1.99 percentage points year-over-year; for FY2025, it came in at 1.57%, down 5.25 percentage points from FY2024.
- Return on Sales [ROS] shows a five-year change of -3.84 percentage points (FY2020 to FY2025).
- In earlier years, Return on Sales [ROS] was 6.82% in FY2024 (+1.41 pp), 5.41% in FY2023 (-1.17 pp), 6.58% in FY2022 (-0.76 pp) and 7.34% in FY2021 (+1.93 pp).
- The Q3 2026 figure marks the highest quarterly Return on Sales [ROS] since Q1 2025.
- Compared with a year earlier, Return on Sales [ROS] was higher in two of the last eight quarters, with an average year-over-year change of -2.19 percentage points.
- The best year-over-year quarter for Return on Sales [ROS] over five years was Q3 2026 (a gain of 4.98 percentage points); the worst was Q4 2025 (a drop of 11.24 percentage points).
- Per Business Quant data, GM's Return on Sales [ROS] in the three quarters before Q3 2026 was 3.04% (Q2 2026), 6.71% (Q1 2026) and -8.05% (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,160.73 Bn | 982.96 Bn | 5.49 Bn | 2.56% |
| 2 | General Motors | 75.19 Bn | -29.42 Bn | 9.28 Bn | 7.19% |
| 3 | Ferrari | 74.17 Bn | 66.47 Bn | 1.14 Bn | 29.70% |
| 4 | Ford Motor | 49.64 Bn | -84.78 Bn | 7.38 Bn | 2.94% |
| 5 | Honda Motor | 47.63 Bn | -102.18 Bn | 8.46 Bn | 8.76% |
| 6 | Toyota Motor | 28.28 Bn | -349.28 Bn | 19.83 Bn | 8.39% |
| 7 | Rivian Automotive | 19.71 Bn | -2.02 Bn | 176.00 Mn | -40.88% |
| 8 | Magna International | 17.43 Bn | 11.40 Bn | 1.63 Bn | 13.52% |
| 9 | Stellantis | 12.80 Bn | -148.64 Bn | 3.94 Bn | -0.88% |
| 10 | Li Auto | 12.62 Bn | -36.34 Bn | 417.98 Mn | -8.96% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 7.19% |
| Jun 30, 2026 | 3.04% |
| Mar 31, 2026 | 6.71% |
| Dec 31, 2025 | -8.05% |
| Sep 30, 2025 | 2.21% |
| Jun 30, 2025 | 4.51% |
| Mar 31, 2025 | 7.61% |
| Dec 31, 2024 | 3.19% |
| Sep 30, 2024 | 7.49% |
| Jun 30, 2024 | 8.07% |
| Mar 31, 2024 | 8.69% |
| Dec 31, 2023 | 2.14% |
| Sep 30, 2023 | 6.83% |
| Jun 30, 2023 | 6.23% |
| Mar 31, 2023 | 6.45% |
| Dec 31, 2022 | 6.06% |
| Sep 30, 2022 | 8.10% |
| Jun 30, 2022 | 5.92% |
| Mar 31, 2022 | 6.10% |
| Dec 31, 2021 | 4.53% |
API Access
General Motors 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=GM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "GM", "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=GM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();