Goodyear Tire & Rubber (GT) Total Liabilities (2009 - 2026)
Goodyear Tire & Rubber's Total Liabilities was $15.65 billion in Q2 2026, down 7.8% from $16.97 billion a year earlier but up 2.3% from the prior quarter.
Goodyear Tire & Rubber (GT) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Total Liabilities at Goodyear Tire & Rubber came in at $14.81 billion, down 8.0% from FY2024.
- Total Liabilities has now declined for three consecutive years, though with a five-year compound annual growth rate of 2.2% (FY2020 to FY2025).
- In earlier years, Total Liabilities was $16.1 billion in FY2024 (-4.0%), $16.78 billion in FY2023 (-1.2%), $16.98 billion in FY2022 (+4.7%) and $16.22 billion in FY2021 (+22.4%).
- Quarterly Total Liabilities has moved between $14.81 billion (Q4 2025) and $18.13 billion (Q3 2022) over five years.
- Compared with a year earlier, Total Liabilities has declined for seven straight quarters, with an average decline of 4.3% over the last eight quarters.
- The best year-over-year quarter for Total Liabilities over five years was Q1 2022 (growth of 30.2%); the worst was Q1 2026 (a decline of 8.5%).
- Per Business Quant data, GT's Total Liabilities in the three quarters before Q2 2026 was $15.3 billion (Q1 2026), $14.81 billion (Q4 2025) and $17.04 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,221.71 Bn | 1,043.93 Bn | 5.49 Bn | 67.68 Bn |
| 2 | General Motors | 77.93 Bn | -26.68 Bn | 9.28 Bn | 224.67 Bn |
| 3 | Ferrari | 74.00 Bn | 67.46 Bn | - | 6.72 Bn |
| 4 | Ford Motor | 49.18 Bn | -85.24 Bn | 7.38 Bn | 255.52 Bn |
| 5 | Toyota Motor | 28.58 Bn | -344.44 Bn | - | 410.43 Bn |
| 6 | Rivian Automotive | 20.30 Bn | -1.42 Bn | 176.00 Mn | 10.01 Bn |
| 7 | Magna International | 17.50 Bn | 12.21 Bn | - | 13.12 Bn |
| 8 | Stellantis | 12.66 Bn | -174.61 Bn | - | 166.34 Bn |
| 9 | Li Auto | 12.65 Bn | -27.40 Bn | - | 11.60 Bn |
| 10 | Goodyear Tire & Rubber | 1.19 Bn | -2.00 Bn | 723.00 Mn | 15.71 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 15.71 Bn |
| Jun 30, 2026 | 15.65 Bn |
| Mar 31, 2026 | 15.30 Bn |
| Dec 31, 2025 | 14.81 Bn |
| Sep 30, 2025 | 17.04 Bn |
| Jun 30, 2025 | 16.97 Bn |
| Mar 31, 2025 | 16.71 Bn |
| Dec 31, 2024 | 16.10 Bn |
| Sep 30, 2024 | 17.72 Bn |
| Jun 30, 2024 | 17.25 Bn |
| Mar 31, 2024 | 17.26 Bn |
| Dec 31, 2023 | 16.78 Bn |
| Sep 30, 2023 | 17.34 Bn |
| Jun 30, 2023 | 17.54 Bn |
| Mar 31, 2023 | 17.75 Bn |
| Dec 31, 2022 | 16.98 Bn |
| Sep 30, 2022 | 18.13 Bn |
| Jun 30, 2022 | 17.55 Bn |
| Mar 31, 2022 | 17.30 Bn |
| Dec 31, 2021 | 16.22 Bn |
Goodyear Tire & Rubber Total Liabilities 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=total-liabilities&ticker=GT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=GT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();