Goodyear Tire & Rubber (GT) Return on Sales [ROS] (2009 - 2026)
Goodyear Tire & Rubber's Return on Sales [ROS] came in at -1.20% for Q2 2026, down 1.40 percentage points from 0.20% a year earlier but up 0.84 percentage points from the prior quarter.
Goodyear Tire & Rubber (GT) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Goodyear Tire & Rubber reported Return on Sales [ROS] of 1.75%, down 1.20 percentage points year-over-year; for FY2025, it was 2.51%, down 1.83 percentage points from FY2024.
- Return on Sales [ROS] carries a five-year change of +5.48 percentage points (FY2020 to FY2025).
- Going back by year, Return on Sales [ROS] was 4.33% in FY2024 (+3.50 pp), 0.84% in FY2023 (-3.60 pp), 4.44% in FY2022 (-1.25 pp) and 5.69% in FY2021 (+8.67 pp).
- The five-year range for quarterly Return on Sales [ROS] is -2.04% (Q1 2026) to 6.39% (Q4 2021).
- Year-over-year, Return on Sales [ROS] increased in three of the last eight quarters, with an average year-over-year change of -0.43 percentage points.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q2 2024 (a gain of 4.96 percentage points), and the weakest in Q2 2023 (a drop of 6.44 percentage points).
- Business Quant data shows GT's Return on Sales [ROS] at -2.04% (Q1 2026), 5.96% (Q4 2025) and 3.16% (Q3 2025) in the three quarters before Q2 2026.
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 | Goodyear Tire & Rubber | 1.16 Bn | -1.88 Bn | 723.00 Mn | -1.98% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -1.98% |
| Jun 30, 2026 | -1.20% |
| Mar 31, 2026 | -2.04% |
| Dec 31, 2025 | 5.96% |
| Sep 30, 2025 | 3.16% |
| Jun 30, 2025 | 0.20% |
| Mar 31, 2025 | 0.21% |
| Dec 31, 2024 | 26.64% |
| Sep 30, 2024 | 5.56% |
| Jun 30, 2024 | 4.22% |
| Mar 31, 2024 | 2.14% |
| Dec 31, 2023 | 14.64% |
| Sep 30, 2023 | 1.94% |
| Jun 30, 2023 | -0.74% |
| Mar 31, 2023 | 1.05% |
| Dec 31, 2022 | 20.36% |
| Sep 30, 2022 | 4.99% |
| Jun 30, 2022 | 5.70% |
| Mar 31, 2022 | 4.95% |
| Dec 31, 2021 | 18.08% |
Goodyear Tire & Rubber 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=GT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "GT", "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=GT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();