United States Lime & Minerals (USLM) Cash & Equivalents (2010 - 2026)
United States Lime & Minerals (USLM) posted Cash & Equivalents of $402.64 million for Q2 2026, up 25.9% from $319.91 million a year earlier and up 5.1% from the prior quarter.
United States Lime & Minerals (USLM) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2025, United States Lime & Minerals' Cash & Equivalents came in at $371.12 million, up 33.5% from FY2024.
- Annual Cash & Equivalents has increased for six consecutive years, with a five-year compound annual growth rate of 34.7% (FY2020 to FY2025).
- In prior years, United States Lime & Minerals' Cash & Equivalents was $278.03 million in FY2024 (+47.9%), $187.96 million in FY2023 (+40.9%), $133.38 million in FY2022 (+26.6%) and $105.36 million in FY2021 (+26.1%).
- The Q2 2026 figure stands as the highest quarterly Cash & Equivalents in data going back to Q2 2010.
- On a year-over-year basis, Cash & Equivalents has increased in each of the last 23 quarters, with growth averaging 38.2% over the last eight quarters.
- Over the past five years, the year-over-year growth in Cash & Equivalents ranged from 12.5% (Q1 2022) to 47.9% (Q4 2024).
- According to Business Quant data, Cash & Equivalents for the three prior quarters was $383.17 million (Q1 2026), $371.12 million (Q4 2025) and $349.51 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 182.38 Bn | 151.41 Bn | - | 8.91 Bn |
| 2 | Southern Copper | 153.11 Bn | 131.97 Bn | 2.90 Bn | 5.67 Bn |
| 3 | Rio Tinto | 136.52 Bn | 97.02 Bn | - | 8.87 Bn |
| 4 | Newmont | 118.43 Bn | 83.75 Bn | 4.22 Bn | 8.83 Bn |
| 5 | Freeport-Mcmoran | 92.71 Bn | 88.86 Bn | 2.19 Bn | 4.08 Bn |
| 6 | Agnico Eagle Mines | 88.05 Bn | 77.68 Bn | 2.43 Bn | 3.46 Bn |
| 7 | Barrick Mining | 64.72 Bn | 49.46 Bn | 2.90 Bn | 5.93 Bn |
| 8 | Nucor | 58.54 Bn | 49.08 Bn | 2.03 Bn | 2.48 Bn |
| 9 | ArcelorMittal | 45.80 Bn | 26.83 Bn | - | 4.85 Bn |
| 10 | United States Lime & Minerals | 3.20 Bn | 1.69 Bn | 46.72 Mn | 402.64 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 402.64 Mn |
| Mar 31, 2026 | 383.17 Mn |
| Dec 31, 2025 | 371.12 Mn |
| Sep 30, 2025 | 349.51 Mn |
| Jun 30, 2025 | 319.91 Mn |
| Mar 31, 2025 | 300.63 Mn |
| Dec 31, 2024 | 278.03 Mn |
| Sep 30, 2024 | 255.02 Mn |
| Jun 30, 2024 | 222.50 Mn |
| Mar 31, 2024 | 207.00 Mn |
| Dec 31, 2023 | 187.96 Mn |
| Sep 30, 2023 | 176.31 Mn |
| Jun 30, 2023 | 156.20 Mn |
| Mar 31, 2023 | 147.58 Mn |
| Dec 31, 2022 | 133.38 Mn |
| Sep 30, 2022 | 122.66 Mn |
| Jun 30, 2022 | 108.58 Mn |
| Mar 31, 2022 | 100.86 Mn |
| Dec 31, 2021 | 105.36 Mn |
| Sep 30, 2021 | 101.40 Mn |
United States Lime & Minerals Cash & Equivalents 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=cash-and-equivalents&ticker=USLM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=USLM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();