United States Lime & Minerals (USLM) Buildings (2010 - 2025)
United States Lime & Minerals (USLM) posted Buildings of $13.53 million for Q4 2025, up 2.1% from $13.25 million a year earlier.
Analysis
United States Lime & Minerals (USLM) Buildings (2010 - 2025) Analysis & Trends
Since Q4 2010, United States Lime & Minerals has reported Buildings for 16 quarters.
- Annual Buildings has increased for 15 consecutive years, with a five-year compound annual growth rate of 11.6% (FY2020 to FY2025).
- In prior years, United States Lime & Minerals' Buildings was $13.25 million in FY2024 (+23.4%), $10.73 million in FY2023 (+11.9%), $9.59 million in FY2022 (+22.0%) and $7.86 million in FY2021 (+0.6%).
- 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 | 182.38 Bn | 151.41 Bn | - |
| 2 | Southern Copper | 167.30 Bn | 146.09 Bn | 2.90 Bn |
| 3 | Rio Tinto | 143.04 Bn | 103.54 Bn | - |
| 4 | Newmont | 124.35 Bn | 92.35 Bn | 4.03 Bn |
| 5 | Freeport-Mcmoran | 99.09 Bn | 83.13 Bn | 2.19 Bn |
| 6 | Agnico Eagle Mines | 93.47 Bn | 83.11 Bn | 2.43 Bn |
| 7 | Barrick Mining | 69.01 Bn | 44.20 Bn | 2.90 Bn |
| 8 | Nucor | 59.68 Bn | 49.06 Bn | 2.03 Bn |
| 9 | ArcelorMittal | 48.25 Bn | 27.28 Bn | - |
| 10 | United States Lime & Minerals | 3.06 Bn | 1.55 Bn | 46.72 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 13.53 Mn |
| Dec 31, 2024 | 13.25 Mn |
| Dec 31, 2023 | 10.73 Mn |
| Dec 31, 2022 | 9.59 Mn |
| Dec 31, 2021 | 7.86 Mn |
| Dec 31, 2020 | 7.81 Mn |
| Dec 31, 2019 | 7.25 Mn |
| Dec 31, 2018 | 5.81 Mn |
| Dec 31, 2017 | 5.64 Mn |
| Dec 31, 2016 | 5.61 Mn |
| Dec 31, 2015 | 5.52 Mn |
| Dec 31, 2014 | 5.47 Mn |
| Dec 31, 2013 | 4.05 Mn |
| Dec 31, 2012 | 3.85 Mn |
| Dec 31, 2011 | 3.48 Mn |
| Dec 31, 2010 | 3.39 Mn |
API Access
United States Lime & Minerals 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=USLM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "buildings", "ticker": "USLM", "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=USLM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();