Goodyear Tire & Rubber (GT) Sales of Property, Plant and Equipment (2009 - 2026)
Goodyear Tire & Rubber (GT) reported Sales of Property, Plant and Equipment of $2 million for Q2 2026, down 99.7% from $608 million a year earlier but up 100.0% from the prior quarter.
Goodyear Tire & Rubber (GT) Sales of Property, Plant and Equipment (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Goodyear Tire & Rubber's Sales of Property, Plant and Equipment came in at $477 million, down 64.3% year-over-year; for FY2025, it was $1.8 billion.
- Sales of Property, Plant and Equipment has a four-year compound annual growth rate of 236.8% (FY2021 to FY2025).
- By year, Sales of Property, Plant and Equipment came in at $115 million in FY2024 (+618.8%), $16 million in FY2023 (-69.2%), $52 million in FY2022 (+271.4%) and $14 million in FY2021.
- Five-year quarterly Sales of Property, Plant and Equipment spans a low of $1 million in Q2 2023 and a high of $720 million in Q1 2025.
- Year over year, Sales of Property, Plant and Equipment gained in two of the last five quarters, with growth averaging 81.1%.
- The high point for year-over-year Sales of Property, Plant and Equipment in five years was Q1 2025 (growth of 566.7%); the low point was Q1 2026 (a decline of 99.9%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $1 million (Q1 2026), $470 million (Q4 2025) and $4 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Sale) (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,199.60 Bn | 1,034.16 Bn | 4.75 Bn | - |
| 2 | Toyota Motor | 237.87 Bn | -168.87 Bn | 20.95 Bn | 2.58 Bn |
| 3 | Ferrari | 144.10 Bn | 136.55 Bn | 1.18 Bn | 157.41 Mn |
| 4 | Honda Motor | 142.11 Bn | 9.49 Bn | 8.46 Bn | 51.43 Mn |
| 5 | General Motors | 68.70 Bn | -36.17 Bn | 7.33 Bn | 3.03 Bn |
| 6 | Ford Motor | 47.39 Bn | -95.07 Bn | 6.08 Bn | - |
| 7 | Rivian Automotive | 19.48 Bn | -3.81 Bn | 179.00 Mn | - |
| 8 | Magna International | 18.09 Bn | 15.65 Bn | 1.61 Bn | 9.00 Mn |
| 9 | Stellantis | 12.78 Bn | -153.22 Bn | 5.55 Bn | 6.97 Mn |
| 10 | Goodyear Tire & Rubber | 1.39 Bn | -1.64 Bn | 681.00 Mn | 2.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.00 Mn |
| Mar 31, 2026 | 1.00 Mn |
| Dec 31, 2025 | 470.00 Mn |
| Sep 30, 2025 | 4.00 Mn |
| Jun 30, 2025 | 608.00 Mn |
| Mar 31, 2025 | 720.00 Mn |
| Dec 31, 2024 | 5.00 Mn |
| Sep 30, 2024 | 2.00 Mn |
| Mar 31, 2024 | 108.00 Mn |
| Dec 31, 2023 | 13.00 Mn |
| Jun 30, 2023 | 1.00 Mn |
| Mar 31, 2023 | 2.00 Mn |
| Dec 31, 2022 | 28.00 Mn |
| Jun 30, 2022 | 16.00 Mn |
| Mar 31, 2022 | 8.00 Mn |
| Dec 31, 2021 | 5.00 Mn |
| Sep 30, 2021 | 9.00 Mn |
| Dec 31, 2019 | 10.00 Mn |
| Jun 30, 2018 | 2.00 Mn |
| Dec 31, 2017 | 3.00 Mn |
Goodyear Tire & Rubber Sales of Property, Plant and Equipment 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=sales-of-property-plant-and-equipment&ticker=GT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "sales-of-property-plant-and-equipment", "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=sales-of-property-plant-and-equipment&ticker=GT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();