Goodyear Tire & Rubber (GT) Cost of Revenue (2009 - 2026)
Goodyear Tire & Rubber (GT) posted Cost of Revenue of $3.57 billion for Q2 2026, down 3.7% from $3.71 billion a year earlier but up 12.0% from the prior quarter.
Goodyear Tire & Rubber (GT) Cost of Revenue (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Cost of Revenue at Goodyear Tire & Rubber was $14.45 billion, down 4.1% year-over-year; for FY2025, it was $14.91 billion, down 1.9% from FY2024.
- Annual Cost of Revenue has declined for three consecutive years, though with a five-year compound annual growth rate of 7.6% (FY2020 to FY2025).
- In prior years, Goodyear Tire & Rubber's Cost of Revenue was $15.19 billion in FY2024 (-8.4%), $16.58 billion in FY2023 (-2.2%), $16.96 billion in FY2022 (+23.8%) and $13.69 billion in FY2021 (+32.5%).
- Quarterly Cost of Revenue has run from a low of $3.19 billion in Q1 2026 to a high of $4.51 billion in Q4 2022 over five years.
- On a year-over-year basis, Cost of Revenue has declined in each of the last four quarters, with an average decline of 3.8% over the last eight quarters.
- The strongest year-over-year quarter for Cost of Revenue in the past five years was Q1 2022, with growth of 44.2%; the weakest was Q2 2024, with a decline of 12.0%.
- According to Business Quant data, Cost of Revenue for the three prior quarters was $3.19 billion (Q1 2026), $3.89 billion (Q4 2025) and $3.8 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,230.49 Bn | 1,061.40 Bn | 5.49 Bn | 22.55 Bn |
| 2 | Ferrari | 154.33 Bn | 146.64 Bn | 1.14 Bn | 1.04 Bn |
| 3 | General Motors | 75.30 Bn | -27.60 Bn | 9.28 Bn | 40.74 Bn |
| 4 | Ford Motor | 48.13 Bn | -86.25 Bn | -12.63 Bn | 42.15 Bn |
| 5 | Toyota Motor | 28.58 Bn | -348.98 Bn | 19.83 Bn | 64.56 Bn |
| 6 | Rivian Automotive | 20.00 Bn | -1.70 Bn | 176.00 Mn | 1.98 Bn |
| 7 | Magna International | 17.18 Bn | 11.48 Bn | 1.63 Bn | 8.43 Bn |
| 8 | Li Auto | 12.66 Bn | -36.22 Bn | 417.98 Mn | 3.36 Bn |
| 9 | Stellantis | 12.34 Bn | -148.56 Bn | 3.94 Bn | 39.33 Bn |
| 10 | Goodyear Tire & Rubber | 1.16 Bn | -1.88 Bn | 723.00 Mn | 3.82 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 3.82 Bn |
| Jun 30, 2026 | 3.57 Bn |
| Mar 31, 2026 | 3.19 Bn |
| Dec 31, 2025 | 3.89 Bn |
| Sep 30, 2025 | 3.80 Bn |
| Jun 30, 2025 | 3.71 Bn |
| Mar 31, 2025 | 3.51 Bn |
| Dec 31, 2024 | 3.96 Bn |
| Sep 30, 2024 | 3.88 Bn |
| Jun 30, 2024 | 3.63 Bn |
| Mar 31, 2024 | 3.72 Bn |
| Dec 31, 2023 | 4.10 Bn |
| Sep 30, 2023 | 4.17 Bn |
| Jun 30, 2023 | 4.12 Bn |
| Mar 31, 2023 | 4.19 Bn |
| Dec 31, 2022 | 4.51 Bn |
| Sep 30, 2022 | 4.31 Bn |
| Jun 30, 2022 | 4.17 Bn |
| Mar 31, 2022 | 3.97 Bn |
| Dec 31, 2021 | 3.97 Bn |
Goodyear Tire & Rubber Cost of Revenue 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=cost-of-revenue&ticker=GT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=GT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();