Goodyear Tire & Rubber (GT) Change in Accured Expenses (2009 - 2026)
Goodyear Tire & Rubber's Change in Accured Expenses came in at $47 million for Q2 2026, up 56.7% from $30 million a year earlier.
Goodyear Tire & Rubber (GT) Change in Accured Expenses (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Goodyear Tire & Rubber reported Change in Accured Expenses of $65 million, up 225.0% year-over-year; for FY2025, it was $28 million, up 16.7% from FY2024.
- Change in Accured Expenses carries a five-year compound annual growth rate of -21.7% (FY2020 to FY2025).
- Going back by year, Change in Accured Expenses was $24 million in FY2024 (-50.0%), $48 million in FY2023, -$107 million in FY2022 and $64 million in FY2021 (-32.6%).
- The five-year range for quarterly Change in Accured Expenses is -$119 million (Q4 2022) to $56 million (Q3 2022).
- Year-over-year, Change in Accured Expenses increased in two of the last four quarters, with growth averaging 15.5%.
- The fastest year-over-year change in Change in Accured Expenses over five years came in Q3 2025 (growth of 63.6%), and the weakest in Q3 2021 (a decline of 58.5%).
- Business Quant data shows GT's Change in Accured Expenses at -$8 million (Q1 2026), -$28 million (Q4 2025) and $54 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,199.60 Bn | 1,034.16 Bn | 4.75 Bn | 1.94 Bn |
| 2 | Toyota Motor | 237.87 Bn | -168.87 Bn | 20.95 Bn | - |
| 3 | Ferrari | 144.10 Bn | 136.55 Bn | 1.18 Bn | 19.87 Mn |
| 4 | Honda Motor | 142.11 Bn | 9.49 Bn | 8.46 Bn | -839.67 Mn |
| 5 | General Motors | 68.70 Bn | -36.17 Bn | 7.33 Bn | - |
| 6 | Ford Motor | 47.39 Bn | -95.07 Bn | 6.08 Bn | 1.78 Bn |
| 7 | Rivian Automotive | 19.48 Bn | -3.81 Bn | 179.00 Mn | 190.00 Mn |
| 8 | Magna International | 18.09 Bn | 15.65 Bn | 1.61 Bn | - |
| 9 | Stellantis | 12.78 Bn | -153.22 Bn | 5.55 Bn | - |
| 10 | Goodyear Tire & Rubber | 1.39 Bn | -1.64 Bn | 681.00 Mn | 47.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 47.00 Mn |
| Mar 31, 2026 | -8.00 Mn |
| Dec 31, 2025 | -28.00 Mn |
| Sep 30, 2025 | 54.00 Mn |
| Jun 30, 2025 | 30.00 Mn |
| Mar 31, 2025 | -28.00 Mn |
| Dec 31, 2024 | -15.00 Mn |
| Sep 30, 2024 | 33.00 Mn |
| Jun 30, 2024 | 44.00 Mn |
| Mar 31, 2024 | -38.00 Mn |
| Dec 31, 2023 | 3.00 Mn |
| Sep 30, 2023 | 45.00 Mn |
| Jun 30, 2023 | 42.00 Mn |
| Mar 31, 2023 | -42.00 Mn |
| Dec 31, 2022 | -119.00 Mn |
| Sep 30, 2022 | 56.00 Mn |
| Jun 30, 2022 | 38.00 Mn |
| Mar 31, 2022 | -82.00 Mn |
| Dec 31, 2021 | -70.00 Mn |
| Sep 30, 2021 | 44.00 Mn |
Goodyear Tire & Rubber Change in Accured 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=change-in-accured-expenses&ticker=GT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=GT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();