Goodyear Tire & Rubber (GT) Operating Expenses (2009 - 2026)
Goodyear Tire & Rubber's Operating Expenses was $732 million in Q2 2026, down 2.5% from $751 million a year earlier and down 5.2% from the prior quarter.
Goodyear Tire & Rubber (GT) Operating Expenses (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Goodyear Tire & Rubber's Operating Expenses was $2.94 billion through Jun 30, 2026, up 1.8% year-over-year; for FY2025, it came in at $2.91 billion, up 1.6% from FY2024.
- Operating Expenses shows a five-year compound annual growth rate of 4.4% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $2.87 billion in FY2024 (-13.5%), $3.32 billion in FY2023 (+13.3%), $2.93 billion in FY2022 (+4.8%) and $2.79 billion in FY2021 (+18.8%).
- Quarterly Operating Expenses has moved between $674 million (Q3 2024) and $969 million (Q4 2023) over five years.
- Compared with a year earlier, Operating Expenses was higher in five of the last eight quarters, with an average decline of 4.8%.
- The best year-over-year quarter for Operating Expenses over five years was Q4 2023 (growth of 30.2%); the worst was Q4 2024 (a decline of 25.1%).
- Per Business Quant data, GT's Operating Expenses in the three quarters before Q2 2026 was $772 million (Q1 2026), $734 million (Q4 2025) and $697 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,157.07 Bn | 991.62 Bn | 4.75 Bn | 4.35 Bn |
| 2 | Toyota Motor | 254.94 Bn | -151.80 Bn | 20.95 Bn | 78.18 Bn |
| 3 | Ferrari | 147.58 Bn | 140.03 Bn | 1.18 Bn | 471.42 Mn |
| 4 | Honda Motor | 147.32 Bn | 14.70 Bn | 8.46 Bn | -34.70 Bn |
| 5 | General Motors | 70.77 Bn | -34.10 Bn | 7.33 Bn | 46.57 Bn |
| 6 | Ford Motor | 48.49 Bn | -93.97 Bn | 6.08 Bn | 47.66 Bn |
| 7 | Rivian Automotive | 20.14 Bn | -3.15 Bn | 179.00 Mn | 1.02 Bn |
| 8 | Magna International | 18.12 Bn | 15.68 Bn | 1.61 Bn | 273.20 Mn |
| 9 | Stellantis | 13.39 Bn | -152.61 Bn | 5.55 Bn | 4.85 Bn |
| 10 | Goodyear Tire & Rubber | 1.45 Bn | -1.59 Bn | 681.00 Mn | 732.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 732.00 Mn |
| Mar 31, 2026 | 772.00 Mn |
| Dec 31, 2025 | 734.00 Mn |
| Sep 30, 2025 | 697.00 Mn |
| Jun 30, 2025 | 751.00 Mn |
| Mar 31, 2025 | 731.00 Mn |
| Dec 31, 2024 | 726.00 Mn |
| Sep 30, 2024 | 674.00 Mn |
| Jun 30, 2024 | 750.00 Mn |
| Mar 31, 2024 | 718.00 Mn |
| Dec 31, 2023 | 969.00 Mn |
| Sep 30, 2023 | 871.00 Mn |
| Jun 30, 2023 | 780.00 Mn |
| Mar 31, 2023 | 696.00 Mn |
| Dec 31, 2022 | 744.00 Mn |
| Sep 30, 2022 | 741.00 Mn |
| Jun 30, 2022 | 743.00 Mn |
| Mar 31, 2022 | 699.00 Mn |
| Dec 31, 2021 | 762.00 Mn |
| Sep 30, 2021 | 740.00 Mn |
Goodyear Tire & Rubber Operating Expenses 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=operating-expenses&ticker=GT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=GT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();