Goodyear Tire & Rubber (GT) Buildings (2010 - 2025)
Goodyear Tire & Rubber (GT) recorded Buildings of $2.96 billion in Q4 2025, up 1.9% from $2.9 billion a year earlier.
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Analysis
Goodyear Tire & Rubber (GT) Buildings (2010 - 2025) Analysis & Trends
Starting with Q4 2010, Goodyear Tire & Rubber's Buildings history includes 16 quarters.
- Annual Buildings has a five-year compound annual growth rate of 1.8% (FY2020 to FY2025).
- Across earlier years, Buildings came in at $2.9 billion in FY2024 (-5.1%), $3.06 billion in FY2023 (+7.0%), $2.86 billion in FY2022 (-1.9%) and $2.91 billion in FY2021 (+7.9%).
- The Q4 2025 figure is the highest quarterly Buildings since Q4 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Tesla | 1,221.71 Bn | 1,043.93 Bn | 5.49 Bn |
| 2 | General Motors | 77.93 Bn | -26.68 Bn | 9.28 Bn |
| 3 | Ferrari | 74.00 Bn | 67.46 Bn | - |
| 4 | Ford Motor | 49.18 Bn | -85.24 Bn | 7.38 Bn |
| 5 | Toyota Motor | 28.58 Bn | -344.44 Bn | - |
| 6 | Rivian Automotive | 20.30 Bn | -1.42 Bn | 176.00 Mn |
| 7 | Magna International | 17.50 Bn | 12.21 Bn | - |
| 8 | Stellantis | 12.66 Bn | -174.61 Bn | - |
| 9 | Li Auto | 12.65 Bn | -27.40 Bn | - |
| 10 | Goodyear Tire & Rubber | 1.19 Bn | -2.00 Bn | 723.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 2.96 Bn |
| Dec 31, 2024 | 2.90 Bn |
| Dec 31, 2023 | 3.06 Bn |
| Dec 31, 2022 | 2.86 Bn |
| Dec 31, 2021 | 2.91 Bn |
| Dec 31, 2020 | 2.70 Bn |
| Dec 31, 2019 | 2.66 Bn |
| Dec 31, 2018 | 2.59 Bn |
| Dec 31, 2017 | 2.62 Bn |
| Dec 31, 2016 | 2.32 Bn |
| Dec 31, 2015 | 2.26 Bn |
| Dec 31, 2014 | 2.41 Bn |
| Dec 31, 2013 | 2.36 Bn |
| Dec 31, 2012 | 2.08 Bn |
| Dec 31, 2011 | 1.99 Bn |
| Dec 31, 2010 | 1.86 Bn |
API Access
Goodyear Tire & Rubber Buildings 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=buildings&ticker=GT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "buildings", "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=buildings&ticker=GT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();