Goodyear Tire & Rubber (GT) Selling, General & Administrative (2009 - 2026)
Goodyear Tire & Rubber's Selling, General & Administrative was $703 million in Q2 2026, up 1.6% from $692 million a year earlier and up 5.2% from the prior quarter.
Goodyear Tire & Rubber (GT) Selling, General & Administrative (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Goodyear Tire & Rubber's Selling, General & Administrative was $2.75 billion through Jun 30, 2026, up 1.9% year-over-year; for FY2025, it was $2.72 billion, down 2.3% from FY2024.
- Selling, General & Administrative shows a five-year compound annual growth rate of 4.4% (FY2020 to FY2025).
- In earlier years, Selling, General & Administrative was $2.78 billion in FY2024 (-1.1%), $2.81 billion in FY2023 (+0.6%), $2.8 billion in FY2022 (+3.7%) and $2.7 billion in FY2021 (+23.1%).
- The Q2 2026 figure marks the highest quarterly Selling, General & Administrative since Q2 2024.
- Compared with a year earlier, Selling, General & Administrative has increased for four straight quarters, with an average decline of 2.0% over the last eight quarters.
- The best year-over-year quarter for Selling, General & Administrative over five years was Q3 2021 (growth of 31.0%); the worst was Q4 2024 (a decline of 10.0%).
- Per Business Quant data, GT's Selling, General & Administrative in the three quarters before Q2 2026 was $668 million (Q1 2026), $701 million (Q4 2025) and $676 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,230.49 Bn | 1,061.40 Bn | 5.49 Bn | 2.02 Bn |
| 2 | Ferrari | 154.33 Bn | 146.64 Bn | 1.14 Bn | 199.89 Mn |
| 3 | General Motors | 75.30 Bn | -27.60 Bn | 9.28 Bn | 2.03 Bn |
| 4 | Ford Motor | 48.13 Bn | -86.25 Bn | -12.63 Bn | 3.08 Bn |
| 5 | Toyota Motor | 28.58 Bn | -348.98 Bn | 19.83 Bn | 6.94 Bn |
| 6 | Rivian Automotive | 20.00 Bn | -1.70 Bn | 176.00 Mn | 572.00 Mn |
| 7 | Magna International | 17.18 Bn | 11.48 Bn | 1.63 Bn | 591.00 Mn |
| 8 | Li Auto | 12.66 Bn | -36.22 Bn | 417.98 Mn | 335.74 Mn |
| 9 | Stellantis | 12.34 Bn | -148.56 Bn | 3.94 Bn | 2.65 Bn |
| 10 | Goodyear Tire & Rubber | 1.16 Bn | -1.88 Bn | 723.00 Mn | 665.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 665.00 Mn |
| Jun 30, 2026 | 703.00 Mn |
| Mar 31, 2026 | 668.00 Mn |
| Dec 31, 2025 | 701.00 Mn |
| Sep 30, 2025 | 676.00 Mn |
| Jun 30, 2025 | 692.00 Mn |
| Mar 31, 2025 | 650.00 Mn |
| Dec 31, 2024 | 692.00 Mn |
| Sep 30, 2024 | 663.00 Mn |
| Jun 30, 2024 | 731.00 Mn |
| Mar 31, 2024 | 696.00 Mn |
| Dec 31, 2023 | 769.00 Mn |
| Sep 30, 2023 | 673.00 Mn |
| Jun 30, 2023 | 708.00 Mn |
| Mar 31, 2023 | 664.00 Mn |
| Dec 31, 2022 | 697.00 Mn |
| Sep 30, 2022 | 696.00 Mn |
| Jun 30, 2022 | 717.00 Mn |
| Mar 31, 2022 | 688.00 Mn |
| Dec 31, 2021 | 750.00 Mn |
Goodyear Tire & Rubber Selling, General & Administrative 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=selling-general-and-administrative&ticker=GT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=GT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();