Albemarle (ALB) Land & Improvements (2010 - 2025)
Albemarle's Land & Improvements came in at $351.39 million for Q4 2025, up 2.7% from $342.21 million a year earlier.
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Analysis
Albemarle (ALB) Land & Improvements (2010 - 2025) Analysis & Trends
Going back to Q4 2010, Albemarle's Land & Improvements data covers 16 quarters.
- Land & Improvements has increased in each of the last four years, with a five-year compound annual growth rate of 24.9% (FY2020 to FY2025).
- Going back by year, Land & Improvements was $342.21 million in FY2024 (+8.1%), $316.54 million in FY2023 (+57.3%), $201.28 million in FY2022 (+79.1%) and $112.37 million in FY2021 (-2.9%).
- The Q4 2025 figure represents the highest quarterly Land & Improvements in data going back to Q4 2010.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Land & Improvements (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 | 351.39 Mn |
| Dec 31, 2024 | 342.21 Mn |
| Dec 31, 2023 | 316.54 Mn |
| Dec 31, 2022 | 201.28 Mn |
| Dec 31, 2021 | 112.37 Mn |
| Dec 31, 2020 | 115.69 Mn |
| Dec 31, 2019 | 83.26 Mn |
| Dec 31, 2018 | 63.35 Mn |
| Dec 31, 2017 | 63.33 Mn |
| Dec 31, 2016 | 59.39 Mn |
| Dec 31, 2015 | 57.83 Mn |
| Dec 31, 2014 | 49.10 Mn |
| Dec 31, 2013 | 52.45 Mn |
| Dec 31, 2012 | 51.22 Mn |
| Dec 31, 2011 | 59.14 Mn |
| Dec 31, 2010 | 55.64 Mn |
API Access
Albemarle Land & Improvements 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=land-and-improvements&ticker=ALB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "land-and-improvements", "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=land-and-improvements&ticker=ALB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();