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 | 1,157.07 Bn | 991.62 Bn | 4.75 Bn |
| 2 | Toyota Motor | 254.94 Bn | -151.80 Bn | 20.95 Bn |
| 3 | Ferrari | 147.58 Bn | 140.03 Bn | 1.18 Bn |
| 4 | Honda Motor | 147.32 Bn | 14.70 Bn | 8.46 Bn |
| 5 | General Motors | 70.77 Bn | -34.10 Bn | 7.33 Bn |
| 6 | Ford Motor | 48.49 Bn | -93.97 Bn | 6.08 Bn |
| 7 | Rivian Automotive | 20.14 Bn | -3.15 Bn | 179.00 Mn |
| 8 | Magna International | 18.12 Bn | 15.68 Bn | 1.61 Bn |
| 9 | Stellantis | 13.39 Bn | -152.61 Bn | 5.55 Bn |
| 10 | Goodyear Tire & Rubber | 1.45 Bn | -1.59 Bn | 681.00 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();