United States Lime & Minerals (USLM) Accumulated Expenses (2010 - 2026)
United States Lime & Minerals' Accumulated Expenses came in at $6.13 million for Q2 2026, up 4.6% from $5.86 million a year earlier but down 36.4% from the prior quarter.
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Analysis
United States Lime & Minerals (USLM) Accumulated Expenses (2010 - 2026) Analysis & Trends
At the end of FY2025, United States Lime & Minerals' Accumulated Expenses was $7.47 million, up 14.2% from FY2024.
- Accumulated Expenses carries a five-year compound annual growth rate of 5.2% (FY2020 to FY2025).
- Going back by year, Accumulated Expenses was $6.54 million in FY2024 (-23.1%), $8.51 million in FY2023 (+32.9%), $6.4 million in FY2022 (+31.8%) and $4.86 million in FY2021 (-16.4%).
- The five-year range for quarterly Accumulated Expenses is $4.52 million (Q2 2022) to $14.56 million (Q1 2025).
- Year-over-year, Accumulated Expenses increased in six of the last eight quarters, with growth averaging 6.5%.
- The fastest year-over-year change in Accumulated Expenses over five years came in Q1 2023 (growth of 90.7%), and the weakest in Q1 2026 (a decline of 33.8%).
- Business Quant data shows USLM's Accumulated Expenses at $9.64 million (Q1 2026), $7.47 million (Q4 2025) and $9.61 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Rio Tinto | 182.38 Bn | 151.41 Bn | - |
| 2 | Southern Copper | 152.64 Bn | 131.43 Bn | 2.90 Bn |
| 3 | Rio Tinto | 136.96 Bn | 97.46 Bn | - |
| 4 | Newmont | 120.07 Bn | 88.07 Bn | 4.03 Bn |
| 5 | Freeport-Mcmoran | 93.93 Bn | 77.97 Bn | 2.19 Bn |
| 6 | Agnico Eagle Mines | 88.81 Bn | 78.44 Bn | 2.43 Bn |
| 7 | Barrick Mining | 65.86 Bn | 41.06 Bn | 2.90 Bn |
| 8 | Nucor | 57.95 Bn | 47.33 Bn | 2.03 Bn |
| 9 | ArcelorMittal | 46.12 Bn | 25.14 Bn | - |
| 10 | United States Lime & Minerals | 3.06 Bn | 1.56 Bn | 46.72 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.13 Mn |
| Mar 31, 2026 | 9.64 Mn |
| Dec 31, 2025 | 7.47 Mn |
| Sep 30, 2025 | 9.61 Mn |
| Jun 30, 2025 | 5.86 Mn |
| Mar 31, 2025 | 14.56 Mn |
| Dec 31, 2024 | 6.54 Mn |
| Sep 30, 2024 | 8.67 Mn |
| Jun 30, 2024 | 5.38 Mn |
| Mar 31, 2024 | 10.75 Mn |
| Dec 31, 2023 | 8.51 Mn |
| Sep 30, 2023 | 6.44 Mn |
| Jun 30, 2023 | 5.60 Mn |
| Mar 31, 2023 | 8.68 Mn |
| Dec 31, 2022 | 6.40 Mn |
| Sep 30, 2022 | 6.47 Mn |
| Jun 30, 2022 | 4.52 Mn |
| Mar 31, 2022 | 4.55 Mn |
| Dec 31, 2021 | 4.86 Mn |
| Sep 30, 2021 | 5.24 Mn |
API Access
United States Lime & Minerals Accumulated Expenses 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=accumulated-expenses&ticker=USLM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=USLM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();