United States Lime & Minerals (USLM) Operating Margin (2010 - 2026)
United States Lime & Minerals (USLM) recorded Operating Margin of 41.01% in Q2 2026, up 2.02 percentage points from 39.00% a year earlier and up 0.27 percentage points from the prior quarter.
United States Lime & Minerals (USLM) Operating Margin (2010 - 2026) Analysis & Trends
On a TTM basis, United States Lime & Minerals' Operating Margin came in at 42.11% as of Jun 30, 2026, up 1.00 percentage points year-over-year; for FY2025, it came in at 42.35%, up 3.03 percentage points from FY2024.
- Annual Operating Margin has increased for three straight years, with a five-year change of +21.28 percentage points (FY2020 to FY2025).
- Across earlier years, Operating Margin came in at 39.32% in FY2024 (+8.95 pp), 30.36% in FY2023 (+7.17 pp), 23.20% in FY2022 (-1.33 pp) and 24.53% in FY2021 (+3.45 pp).
- Quarterly Operating Margin has ranged from 20.88% in Q2 2022 to 45.35% in Q3 2025 over the past five years.
- On a year-over-year basis, Operating Margin rose in six of the last eight quarters, with an average year-over-year change of +4.04 percentage points.
- Peak year-over-year performance for Operating Margin in the last five years was a gain of 10.86 percentage points in Q3 2024, against a drop of 7.26 percentage points in Q2 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at 40.74% (Q1 2026), 40.95% (Q4 2025) and 45.35% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 182.38 Bn | 151.41 Bn | - | - |
| 2 | Southern Copper | 167.30 Bn | 146.09 Bn | 2.90 Bn | 61.16% |
| 3 | Rio Tinto | 143.04 Bn | 103.54 Bn | - | - |
| 4 | Newmont | 124.35 Bn | 92.35 Bn | 4.03 Bn | 16.48% |
| 5 | Freeport-Mcmoran | 99.09 Bn | 83.13 Bn | 2.19 Bn | 28.50% |
| 6 | Agnico Eagle Mines | 93.47 Bn | 83.11 Bn | 2.43 Bn | 60.65% |
| 7 | Barrick Mining | 69.01 Bn | 44.20 Bn | 2.90 Bn | 51.63% |
| 8 | Nucor | 59.68 Bn | 49.06 Bn | 2.03 Bn | 15.67% |
| 9 | ArcelorMittal | 48.25 Bn | 27.28 Bn | - | 6.29% |
| 10 | United States Lime & Minerals | 3.06 Bn | 1.55 Bn | 46.72 Mn | 41.01% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 41.01% |
| Mar 31, 2026 | 40.74% |
| Dec 31, 2025 | 40.95% |
| Sep 30, 2025 | 45.35% |
| Jun 30, 2025 | 39.00% |
| Mar 31, 2025 | 43.72% |
| Dec 31, 2024 | 38.83% |
| Sep 30, 2024 | 42.65% |
| Jun 30, 2024 | 39.11% |
| Mar 31, 2024 | 35.93% |
| Dec 31, 2023 | 28.88% |
| Sep 30, 2023 | 31.79% |
| Jun 30, 2023 | 30.83% |
| Mar 31, 2023 | 29.71% |
| Dec 31, 2022 | 21.05% |
| Sep 30, 2022 | 28.66% |
| Jun 30, 2022 | 20.88% |
| Mar 31, 2022 | 21.28% |
| Dec 31, 2021 | 20.92% |
| Sep 30, 2021 | 27.14% |
United States Lime & Minerals Operating Margin 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=operating-margin&ticker=USLM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "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=operating-margin&ticker=USLM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();