Albemarle (ALB) Buildings (2010 - 2025)
Albemarle (ALB) posted Buildings of $936.64 million for Q4 2025, up 0.4% from $933.19 million a year earlier.
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Analysis
Albemarle (ALB) Buildings (2010 - 2025) Analysis & Trends
Since Q4 2010, Albemarle has reported Buildings for 16 quarters.
- Annual Buildings has increased for eight consecutive years, with a five-year compound annual growth rate of 21.4% (FY2020 to FY2025).
- In prior years, Albemarle's Buildings was $933.19 million in FY2024 (+33.5%), $699.05 million in FY2023 (+41.9%), $492.51 million in FY2022 (+28.3%) and $383.88 million in FY2021 (+8.2%).
- The Q4 2025 figure stands as the highest quarterly Buildings in data going back to Q4 2010.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Rio Tinto | 181.90 Bn | 148.03 Bn | - |
| 2 | Southern Copper | 169.19 Bn | 148.06 Bn | 2.90 Bn |
| 3 | Newmont | 121.55 Bn | 89.73 Bn | 4.03 Bn |
| 4 | Ternium | 108.92 Bn | 73.97 Bn | 941.02 Mn |
| 5 | Freeport-Mcmoran | 100.46 Bn | 96.62 Bn | 2.19 Bn |
| 6 | Agnico Eagle Mines | 91.62 Bn | 91.62 Bn | 2.43 Bn |
| 7 | Barrick Mining | 68.12 Bn | 52.86 Bn | 2.90 Bn |
| 8 | Nucor | 53.04 Bn | 43.58 Bn | 2.03 Bn |
| 9 | ArcelorMittal | 50.74 Bn | 31.77 Bn | - |
| 10 | Albemarle | 12.48 Bn | 6.47 Bn | 590.30 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 936.64 Mn |
| Dec 31, 2024 | 933.19 Mn |
| Dec 31, 2023 | 699.05 Mn |
| Dec 31, 2022 | 492.51 Mn |
| Dec 31, 2021 | 383.88 Mn |
| Dec 31, 2020 | 354.68 Mn |
| Dec 31, 2019 | 337.73 Mn |
| Dec 31, 2018 | 251.98 Mn |
| Dec 31, 2017 | 245.48 Mn |
| Dec 31, 2016 | 256.60 Mn |
| Dec 31, 2015 | 236.58 Mn |
| Dec 31, 2014 | 214.36 Mn |
| Dec 31, 2013 | 235.93 Mn |
| Dec 31, 2012 | 198.26 Mn |
| Dec 31, 2011 | 194.73 Mn |
| Dec 31, 2010 | 204.86 Mn |
API Access
Albemarle 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=ALB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "buildings", "ticker": "ALB", "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=ALB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();