United States Lime & Minerals (USLM) Other Accumulated Expenses (2019 - 2025)
United States Lime & Minerals' Other Accumulated Expenses was $1.47 million in Q4 2025, up 33.5% from $1.1 million a year earlier.
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Analysis
United States Lime & Minerals (USLM) Other Accumulated Expenses (2019 - 2025) Analysis & Trends
From Q4 2019 onward, United States Lime & Minerals has reported Other Accumulated Expenses for 7 quarters.
- Other Accumulated Expenses shows a five-year compound annual growth rate of -0.4% (FY2020 to FY2025).
- In earlier years, Other Accumulated Expenses was $1.1 million in FY2024 (-1.3%), $1.11 million in FY2023 (-7.9%), $1.21 million in FY2022 (-12.1%) and $1.37 million in FY2021 (-8.0%).
- The Q4 2025 figure marks the highest quarterly Other Accumulated Expenses since Q4 2020.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Rio Tinto | 182.38 Bn | 151.41 Bn | - |
| 2 | Southern Copper | 167.30 Bn | 146.09 Bn | 2.90 Bn |
| 3 | Rio Tinto | 143.04 Bn | 103.54 Bn | - |
| 4 | Newmont | 124.35 Bn | 92.35 Bn | 4.03 Bn |
| 5 | Freeport-Mcmoran | 99.09 Bn | 83.13 Bn | 2.19 Bn |
| 6 | Agnico Eagle Mines | 93.47 Bn | 83.11 Bn | 2.43 Bn |
| 7 | Barrick Mining | 69.01 Bn | 44.20 Bn | 2.90 Bn |
| 8 | Nucor | 59.68 Bn | 49.06 Bn | 2.03 Bn |
| 9 | ArcelorMittal | 48.25 Bn | 27.28 Bn | - |
| 10 | United States Lime & Minerals | 3.06 Bn | 1.55 Bn | 46.72 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 1.47 Mn |
| Dec 31, 2024 | 1.10 Mn |
| Dec 31, 2023 | 1.11 Mn |
| Dec 31, 2022 | 1.21 Mn |
| Dec 31, 2021 | 1.37 Mn |
| Dec 31, 2020 | 1.49 Mn |
| Dec 31, 2019 | 914,000.00 |
API Access
United States Lime & Minerals Other 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=other-accumulated-expenses&ticker=USLM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-accumulated-expenses&ticker=USLM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();