United States Lime & Minerals (USLM) Change in Accured Expenses (2010 - 2026)
United States Lime & Minerals' Change in Accured Expenses was -$3.16 million in Q2 2026, compared with -$7.59 million a year earlier.
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Analysis
United States Lime & Minerals (USLM) Change in Accured Expenses (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, United States Lime & Minerals' Change in Accured Expenses was $927,000 through Jun 30, 2026, down 52.4% year-over-year; for FY2025, it was $4.54 million.
- Change in Accured Expenses shows a five-year compound annual growth rate of 12.0% (FY2020 to FY2025).
- In earlier years, Change in Accured Expenses was -$1.01 million in FY2024, $1.67 million in FY2023 (-38.3%), $2.7 million in FY2022 and -$1.1 million in FY2021.
- Quarterly Change in Accured Expenses has moved between -$7.59 million (Q2 2025) and $8.11 million (Q1 2025) over five years.
- Compared with a year earlier, Change in Accured Expenses was higher in three of the last four quarters, with growth averaging 87.4%.
- The best year-over-year quarter for Change in Accured Expenses over five years was Q3 2024 (growth of 231.6%); the worst was Q1 2026 (a decline of 99.0%).
- Per Business Quant data, USLM's Change in Accured Expenses in the three quarters before Q2 2026 was $82,000 (Q1 2026), $3,000 (Q4 2025) and $4.01 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 182.38 Bn | 151.41 Bn | - | - |
| 2 | Southern Copper | 151.38 Bn | 130.17 Bn | 2.90 Bn | 107.70 Mn |
| 3 | Rio Tinto | 135.17 Bn | 95.67 Bn | - | - |
| 4 | Newmont | 115.47 Bn | 80.61 Bn | 4.22 Bn | 165.00 Mn |
| 5 | Freeport-Mcmoran | 93.51 Bn | 77.55 Bn | 2.19 Bn | 309.00 Mn |
| 6 | Agnico Eagle Mines | 87.07 Bn | 76.70 Bn | 2.43 Bn | -106.54 Mn |
| 7 | Barrick Mining | 65.15 Bn | 40.35 Bn | 2.90 Bn | - |
| 8 | Nucor | 60.22 Bn | 49.60 Bn | 2.03 Bn | 298.00 Mn |
| 9 | ArcelorMittal | 45.40 Bn | 24.42 Bn | - | - |
| 10 | United States Lime & Minerals | 3.22 Bn | 1.71 Bn | 46.72 Mn | -3.16 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -3.16 Mn |
| Mar 31, 2026 | 82,000.00 |
| Dec 31, 2025 | 3,000.00 |
| Sep 30, 2025 | 4.01 Mn |
| Jun 30, 2025 | -7.59 Mn |
| Mar 31, 2025 | 8.11 Mn |
| Dec 31, 2024 | -2.22 Mn |
| Sep 30, 2024 | 3.64 Mn |
| Jun 30, 2024 | -5.07 Mn |
| Mar 31, 2024 | 2.64 Mn |
| Dec 31, 2023 | 717,000.00 |
| Sep 30, 2023 | 1.10 Mn |
| Jun 30, 2023 | -3.89 Mn |
| Mar 31, 2023 | 3.74 Mn |
| Dec 31, 2022 | 250,000.00 |
| Sep 30, 2022 | 2.01 Mn |
| Jun 30, 2022 | 1.43 Mn |
| Mar 31, 2022 | -988,000.00 |
| Dec 31, 2021 | -1.37 Mn |
| Sep 30, 2021 | 884,000.00 |
API Access
United States Lime & Minerals Change in Accured 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=change-in-accured-expenses&ticker=USLM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=USLM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();