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 | 1,199.60 Bn | 1,034.16 Bn | 4.75 Bn | 1.41% |
| 2 | Toyota Motor | 237.87 Bn | -168.87 Bn | 20.95 Bn | 7.86% |
| 3 | Ferrari | 144.10 Bn | 136.55 Bn | 1.18 Bn | 31.22% |
| 4 | Honda Motor | 142.11 Bn | 9.49 Bn | 8.46 Bn | 8.76% |
| 5 | General Motors | 68.70 Bn | -36.17 Bn | 7.33 Bn | 3.04% |
| 6 | Ford Motor | 47.39 Bn | -95.07 Bn | 6.08 Bn | 1.32% |
| 7 | Rivian Automotive | 19.48 Bn | -3.81 Bn | 179.00 Mn | -50.42% |
| 8 | Magna International | 18.09 Bn | 15.65 Bn | 1.61 Bn | 12.19% |
| 9 | Stellantis | 12.78 Bn | -153.22 Bn | 5.55 Bn | 1.61% |
| 10 | Goodyear Tire & Rubber | 1.39 Bn | -1.64 Bn | 681.00 Mn | -1.20% |
Historic Data
| Date | Value |
|---|---|
| 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 | 5.26% |
| Sep 30, 2024 | 5.56% |
| Jun 30, 2024 | 4.22% |
| Mar 31, 2024 | 2.14% |
| Dec 31, 2023 | 1.02% |
| Sep 30, 2023 | 1.94% |
| Jun 30, 2023 | -0.74% |
| Mar 31, 2023 | 1.05% |
| Dec 31, 2022 | 2.20% |
| Sep 30, 2022 | 4.99% |
| Jun 30, 2022 | 5.70% |
| Mar 31, 2022 | 4.95% |
| Dec 31, 2021 | 6.39% |
| Sep 30, 2021 | 6.08% |
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();