United States Lime & Minerals (USLM) Selling, General & Administrative (2010 - 2026)
United States Lime & Minerals (USLM) reported Selling, General & Administrative of $6.07 million for Q2 2026, down 2.0% from $6.19 million a year earlier but up 1.6% from the prior quarter.
United States Lime & Minerals (USLM) Selling, General & Administrative (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, United States Lime & Minerals' Selling, General & Administrative came in at $24.12 million, up 10.8% year-over-year; for FY2025, it came in at $24.54 million, up 28.8% from FY2024.
- Selling, General & Administrative has increased for nine consecutive years, with a five-year compound annual growth rate of 15.1% (FY2020 to FY2025).
- By year, Selling, General & Administrative came in at $19.06 million in FY2024 (+9.2%), $17.45 million in FY2023 (+12.1%), $15.56 million in FY2022 (+21.1%) and $12.84 million in FY2021 (+5.5%).
- Five-year quarterly Selling, General & Administrative spans a low of $3.15 million in Q3 2021 and a high of $6.26 million in Q1 2025.
- Year over year, Selling, General & Administrative gained in five of the last eight quarters, with growth averaging 14.8%.
- The high point for year-over-year Selling, General & Administrative in five years was Q4 2025 (growth of 41.6%); the low point was Q4 2024 (a decline of 5.8%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $5.97 million (Q1 2026), $6.16 million (Q4 2025) and $5.93 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 182.38 Bn | 151.41 Bn | - | - |
| 2 | Southern Copper | 167.30 Bn | 146.09 Bn | 2.90 Bn | 35.30 Mn |
| 3 | Rio Tinto | 143.04 Bn | 103.54 Bn | - | - |
| 4 | Newmont | 124.35 Bn | 92.35 Bn | 4.03 Bn | 74.00 Mn |
| 5 | Freeport-Mcmoran | 99.09 Bn | 83.13 Bn | 2.19 Bn | 135.00 Mn |
| 6 | Agnico Eagle Mines | 93.47 Bn | 83.11 Bn | 2.43 Bn | 57.95 Mn |
| 7 | Barrick Mining | 69.01 Bn | 44.20 Bn | 2.90 Bn | 31.00 Mn |
| 8 | Nucor | 59.68 Bn | 49.06 Bn | 2.03 Bn | 405.00 Mn |
| 9 | ArcelorMittal | 48.25 Bn | 27.28 Bn | - | - |
| 10 | United States Lime & Minerals | 3.06 Bn | 1.55 Bn | 46.72 Mn | 6.07 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.07 Mn |
| Mar 31, 2026 | 5.97 Mn |
| Dec 31, 2025 | 6.16 Mn |
| Sep 30, 2025 | 5.93 Mn |
| Jun 30, 2025 | 6.19 Mn |
| Mar 31, 2025 | 6.26 Mn |
| Dec 31, 2024 | 4.35 Mn |
| Sep 30, 2024 | 4.98 Mn |
| Jun 30, 2024 | 4.88 Mn |
| Mar 31, 2024 | 4.85 Mn |
| Dec 31, 2023 | 4.62 Mn |
| Sep 30, 2023 | 4.36 Mn |
| Jun 30, 2023 | 4.32 Mn |
| Mar 31, 2023 | 4.15 Mn |
| Dec 31, 2022 | 4.53 Mn |
| Sep 30, 2022 | 3.54 Mn |
| Jun 30, 2022 | 3.85 Mn |
| Mar 31, 2022 | 3.64 Mn |
| Dec 31, 2021 | 3.67 Mn |
| Sep 30, 2021 | 3.15 Mn |
United States Lime & Minerals Selling, General & Administrative 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=selling-general-and-administrative&ticker=USLM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=USLM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();