Goodyear Tire & Rubber (GT) Gains (Losses) on Sale of Assets & Investments (2015 - 2026)
Goodyear Tire & Rubber's Non Operating Investment Income was $17 million in Q2 2026, down 96.1% from $439 million a year earlier but up 466.7% from the prior quarter.
Goodyear Tire & Rubber (GT) Gains (Losses) on Sale of Assets & Investments (2015 - 2026) Analysis & Trends
On a trailing twelve-month basis, Goodyear Tire & Rubber's Non Operating Investment Income was $135 million through Jun 30, 2026, down 80.7% year-over-year; for FY2025, it was $816 million, up 777.4% from FY2024.
- In earlier years, Non Operating Investment Income was $93 million in FY2024 (-10.6%), $104 million in FY2023 (-14.8%), $122 million in FY2022 (+510.0%) and $20 million in FY2021.
- Quarterly Non Operating Investment Income has moved between -$2 million (Q1 2024) and $439 million (Q2 2025) over five years.
- Compared with a year earlier, Non Operating Investment Income was higher in 1 of the last four quarters, with growth averaging 19.7%.
- The best year-over-year quarter for Non Operating Investment Income over five years was Q2 2025 (growth of 357.3%); the worst was Q1 2026 (a decline of 98.9%).
- Per Business Quant data, GT's Non Operating Investment Income in the three quarters before Q2 2026 was $3 million (Q1 2026), $116 million (Q4 2025) and -$1 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Gains on Sales (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,230.49 Bn | 1,061.40 Bn | 5.49 Bn | - |
| 2 | Ferrari | 154.33 Bn | 146.64 Bn | 1.14 Bn | - |
| 3 | General Motors | 75.30 Bn | -27.60 Bn | 9.28 Bn | - |
| 4 | Ford Motor | 48.13 Bn | -86.25 Bn | -12.63 Bn | - |
| 5 | Toyota Motor | 28.58 Bn | -348.98 Bn | 19.83 Bn | - |
| 6 | Rivian Automotive | 20.00 Bn | -1.70 Bn | 176.00 Mn | - |
| 7 | Magna International | 17.18 Bn | 11.48 Bn | 1.63 Bn | - |
| 8 | Li Auto | 12.66 Bn | -36.22 Bn | 417.98 Mn | - |
| 9 | Stellantis | 12.34 Bn | -148.56 Bn | 3.94 Bn | - |
| 10 | Goodyear Tire & Rubber | 1.16 Bn | -1.88 Bn | 723.00 Mn | 9.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 9.00 Mn |
| Jun 30, 2026 | 17.00 Mn |
| Mar 31, 2026 | 3.00 Mn |
| Dec 31, 2025 | 116.00 Mn |
| Sep 30, 2025 | -1.00 Mn |
| Jun 30, 2025 | 439.00 Mn |
| Mar 31, 2025 | 262.00 Mn |
| Dec 31, 2024 | -2.00 Mn |
| Sep 30, 2024 | 1.00 Mn |
| Jun 30, 2024 | 96.00 Mn |
| Mar 31, 2024 | -2.00 Mn |
| Dec 31, 2023 | 36.00 Mn |
| Sep 30, 2023 | 6.00 Mn |
| Jun 30, 2023 | 60.00 Mn |
| Mar 31, 2023 | 2.00 Mn |
| Dec 31, 2022 | 24.00 Mn |
| Jun 30, 2022 | 95.00 Mn |
| Mar 31, 2022 | 4.00 Mn |
| Dec 31, 2021 | 10.00 Mn |
| Sep 30, 2021 | 10.00 Mn |
Goodyear Tire & Rubber Gains (Losses) on Sale of Assets & Investments 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=non-operating-investment-income&ticker=GT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-investment-income", "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=non-operating-investment-income&ticker=GT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();