Graftech International (EAF) Buildings (2010 - 2025)
Graftech International (EAF) recorded Buildings of $92.66 million in Q4 2025, up 7.9% from $85.87 million a year earlier.
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Analysis
Graftech International (EAF) Buildings (2010 - 2025) Analysis & Trends
Starting with Q4 2010, Graftech International's Buildings history includes 16 quarters.
- Annual Buildings has a five-year compound annual growth rate of 3.0% (FY2020 to FY2025).
- Across earlier years, Buildings came in at $85.87 million in FY2024 (-2.2%), $87.82 million in FY2023 (+7.0%), $82.05 million in FY2022 (+3.0%) and $79.66 million in FY2021 (-0.5%).
- The Q4 2025 figure is the highest quarterly Buildings since Q4 2014.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Rio Tinto | 182.38 Bn | 151.41 Bn | - |
| 2 | Southern Copper | 169.28 Bn | 148.06 Bn | 2.90 Bn |
| 3 | Rio Tinto | 142.83 Bn | 103.33 Bn | - |
| 4 | Newmont | 124.97 Bn | 92.97 Bn | 4.03 Bn |
| 5 | Freeport-Mcmoran | 99.34 Bn | 83.38 Bn | 2.19 Bn |
| 6 | Agnico Eagle Mines | 93.92 Bn | 83.55 Bn | 2.43 Bn |
| 7 | Barrick Mining | 69.23 Bn | 44.43 Bn | 2.90 Bn |
| 8 | Nucor | 59.09 Bn | 48.47 Bn | 2.03 Bn |
| 9 | ArcelorMittal | 48.23 Bn | 27.25 Bn | - |
| 10 | Graftech International | 188.38 Mn | -393.29 Mn | -422,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 92.66 Mn |
| Dec 31, 2024 | 85.87 Mn |
| Dec 31, 2023 | 87.82 Mn |
| Dec 31, 2022 | 82.05 Mn |
| Dec 31, 2021 | 79.66 Mn |
| Dec 31, 2020 | 80.04 Mn |
| Dec 31, 2019 | 71.78 Mn |
| Dec 31, 2018 | 68.68 Mn |
| Dec 31, 2017 | 59.61 Mn |
| Dec 31, 2016 | 55.44 Mn |
| Dec 31, 2015 | 55.84 Mn |
| Dec 31, 2014 | 193.43 Mn |
| Dec 31, 2013 | 196.80 Mn |
| Dec 31, 2012 | 182.84 Mn |
| Dec 31, 2011 | 175.59 Mn |
| Dec 31, 2010 | 167.95 Mn |
API Access
Graftech International 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=EAF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "buildings", "ticker": "EAF", "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=EAF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();