United States Lime & Minerals (USLM) Return on Sales [ROS] (2010 - 2026)
United States Lime & Minerals' Return on Sales [ROS] came in at 41.01% for 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) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, United States Lime & Minerals reported Return on Sales [ROS] of 42.11%, up 1.00 percentage points year-over-year; for FY2025, it was 42.35%, up 3.03 percentage points from FY2024.
- Return on Sales [ROS] has increased in each of the last three years, with a five-year change of +21.28 percentage points (FY2020 to FY2025).
- Going back by year, Return on Sales [ROS] was 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).
- The five-year range for quarterly Return on Sales [ROS] is 20.88% (Q2 2022) to 45.35% (Q3 2025).
- Year-over-year, Return on Sales [ROS] increased in six of the last eight quarters, with an average year-over-year change of +4.04 percentage points.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q3 2024 (a gain of 10.86 percentage points), and the weakest in Q2 2022 (a drop of 7.26 percentage points).
- Business Quant data shows USLM's Return on Sales [ROS] at 40.74% (Q1 2026), 40.95% (Q4 2025) and 45.35% (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 182.38 Bn | 151.41 Bn | - | - |
| 2 | Southern Copper | 152.02 Bn | 130.81 Bn | 2.90 Bn | 61.16% |
| 3 | Rio Tinto | 135.27 Bn | 95.77 Bn | - | - |
| 4 | Newmont | 118.68 Bn | 83.82 Bn | 4.22 Bn | 16.03% |
| 5 | Freeport-Mcmoran | 92.55 Bn | 76.59 Bn | 2.19 Bn | 28.50% |
| 6 | Agnico Eagle Mines | 88.25 Bn | 77.88 Bn | 2.43 Bn | 60.65% |
| 7 | Barrick Mining | 65.65 Bn | 40.85 Bn | 2.90 Bn | 51.63% |
| 8 | Nucor | 59.51 Bn | 48.89 Bn | 2.03 Bn | 15.67% |
| 9 | ArcelorMittal | 45.02 Bn | 24.04 Bn | - | 6.29% |
| 10 | United States Lime & Minerals | 3.17 Bn | 1.66 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 Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=USLM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=USLM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();