United States Lime & Minerals (USLM) Total Liabilities (2010 - 2026)
United States Lime & Minerals (USLM) reported Total Liabilities of $51.63 million for Q2 2026, up 17.0% from $44.13 million a year earlier but down 2.0% from the prior quarter.
United States Lime & Minerals (USLM) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, United States Lime & Minerals posted Total Liabilities of $50.28 million, up 10.7% from FY2024.
- Total Liabilities has a five-year compound annual growth rate of 7.0% (FY2020 to FY2025).
- By year, Total Liabilities came in at $45.42 million in FY2024 (-4.4%), $47.5 million in FY2023 (+1.7%), $46.68 million in FY2022 (+22.9%) and $37.99 million in FY2021 (+5.8%).
- Five-year quarterly Total Liabilities spans a low of $37.99 million in Q4 2021 and a high of $53.05 million in Q1 2025.
- Year over year, Total Liabilities gained in six of the last eight quarters, with growth averaging 5.3%.
- The high point for year-over-year Total Liabilities in five years was Q1 2023 (growth of 29.7%); the low point was Q2 2024 (a decline of 4.6%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $52.68 million (Q1 2026), $50.28 million (Q4 2025) and $50.54 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 182.38 Bn | 151.41 Bn | - | 61.80 Bn |
| 2 | Southern Copper | 167.30 Bn | 146.09 Bn | 2.90 Bn | 11.42 Bn |
| 3 | Rio Tinto | 143.04 Bn | 103.54 Bn | - | 61.08 Bn |
| 4 | Newmont | 124.35 Bn | 92.35 Bn | 4.03 Bn | 22.23 Bn |
| 5 | Freeport-Mcmoran | 99.09 Bn | 83.13 Bn | 2.19 Bn | 27.51 Bn |
| 6 | Agnico Eagle Mines | 93.47 Bn | 83.11 Bn | 2.43 Bn | 9.19 Bn |
| 7 | Barrick Mining | 69.01 Bn | 44.20 Bn | 2.90 Bn | 25.04 Bn |
| 8 | Nucor | 59.68 Bn | 49.06 Bn | 2.03 Bn | 13.69 Bn |
| 9 | ArcelorMittal | 48.25 Bn | 27.28 Bn | - | 44.33 Bn |
| 10 | United States Lime & Minerals | 3.06 Bn | 1.55 Bn | 46.72 Mn | 51.63 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 51.63 Mn |
| Mar 31, 2026 | 52.68 Mn |
| Dec 31, 2025 | 50.28 Mn |
| Sep 30, 2025 | 50.54 Mn |
| Jun 30, 2025 | 44.13 Mn |
| Mar 31, 2025 | 53.05 Mn |
| Dec 31, 2024 | 45.42 Mn |
| Sep 30, 2024 | 47.55 Mn |
| Jun 30, 2024 | 43.07 Mn |
| Mar 31, 2024 | 48.68 Mn |
| Dec 31, 2023 | 47.50 Mn |
| Sep 30, 2023 | 46.42 Mn |
| Jun 30, 2023 | 45.12 Mn |
| Mar 31, 2023 | 49.86 Mn |
| Dec 31, 2022 | 46.68 Mn |
| Sep 30, 2022 | 44.48 Mn |
| Jun 30, 2022 | 40.56 Mn |
| Mar 31, 2022 | 38.44 Mn |
| Dec 31, 2021 | 37.99 Mn |
| Sep 30, 2021 | 39.33 Mn |
United States Lime & Minerals Total Liabilities 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=total-liabilities&ticker=USLM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=USLM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();