United States Lime & Minerals (USLM) EBITDA (2010 - 2026)
United States Lime & Minerals (USLM) posted EBITDA of $47.1 million for Q2 2026, up 12.4% from $41.88 million a year earlier and up 11.1% from the prior quarter.
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Analysis
United States Lime & Minerals (USLM) EBITDA (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBITDA at United States Lime & Minerals was $184.64 million, up 9.1% year-over-year; for FY2025, it came in at $183.08 million, up 22.8% from FY2024.
- Annual EBITDA has increased for seven consecutive years, with a five-year compound annual growth rate of 27.9% (FY2020 to FY2025).
- In prior years, United States Lime & Minerals' EBITDA was $149.09 million in FY2024 (+36.5%), $109.25 million in FY2023 (+41.9%), $76.98 million in FY2022 (+14.4%) and $67.32 million in FY2021 (+25.9%).
- Quarterly EBITDA has run from a low of $14.91 million in Q4 2021 to a high of $52.42 million in Q3 2025 over five years.
- On a year-over-year basis, EBITDA increased in seven of the last eight quarters, with growth averaging 24.6%.
- The strongest year-over-year quarter for EBITDA in the past five years was Q1 2023, with growth of 59.6%; the weakest was Q1 2026, with a decline of 7.9%.
- According to Business Quant data, EBITDA for the three prior quarters was $42.38 million (Q1 2026), $42.74 million (Q4 2025) and $52.42 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 182.38 Bn | 151.41 Bn | - | - |
| 2 | Southern Copper | 163.10 Bn | 141.89 Bn | 2.90 Bn | 2.85 Bn |
| 3 | Rio Tinto | 141.45 Bn | 101.96 Bn | - | - |
| 4 | Newmont | 124.30 Bn | 92.30 Bn | 4.03 Bn | 1.61 Bn |
| 5 | Freeport-Mcmoran | 99.06 Bn | 83.10 Bn | 2.19 Bn | 2.53 Bn |
| 6 | Agnico Eagle Mines | 93.87 Bn | 83.50 Bn | 2.43 Bn | 2.73 Bn |
| 7 | Barrick Mining | 69.59 Bn | 44.79 Bn | 2.90 Bn | 3.29 Bn |
| 8 | Nucor | 60.48 Bn | 49.87 Bn | 2.03 Bn | 2.01 Bn |
| 9 | ArcelorMittal | 48.62 Bn | 27.64 Bn | - | 1.84 Bn |
| 10 | United States Lime & Minerals | 3.05 Bn | 1.55 Bn | 46.72 Mn | 47.10 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 47.10 Mn |
| Mar 31, 2026 | 42.39 Mn |
| Dec 31, 2025 | 42.74 Mn |
| Sep 30, 2025 | 52.43 Mn |
| Jun 30, 2025 | 41.88 Mn |
| Mar 31, 2025 | 46.04 Mn |
| Dec 31, 2024 | 37.16 Mn |
| Sep 30, 2024 | 44.25 Mn |
| Jun 30, 2024 | 35.90 Mn |
| Mar 31, 2024 | 31.82 Mn |
| Dec 31, 2023 | 25.02 Mn |
| Sep 30, 2023 | 29.78 Mn |
| Jun 30, 2023 | 28.80 Mn |
| Mar 31, 2023 | 25.67 Mn |
| Dec 31, 2022 | 17.96 Mn |
| Sep 30, 2022 | 24.76 Mn |
| Jun 30, 2022 | 18.18 Mn |
| Mar 31, 2022 | 16.08 Mn |
| Dec 31, 2021 | 14.91 Mn |
| Sep 30, 2021 | 19.26 Mn |
API Access
United States Lime & Minerals EBITDA 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=ebitda&ticker=USLM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=USLM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();