Americas Gold & Silver (USAS) Total Liabilities (2014 - 2026)
Americas Gold & Silver (USAS) posted Total Liabilities of $136.28 million for the quarter ended Jun 30, 2026, down 27.5% from $188.03 million a year earlier and down 31.8% from the prior quarter.
Americas Gold & Silver (USAS) Total Liabilities (2014 - 2026) Analysis & Trends
As of Dec 31, 2025, Americas Gold & Silver's Total Liabilities came in at $191.38 million, up 46.6% from the prior year.
- Annual Total Liabilities shows a five-year compound annual growth rate of 13.0% (years ended Dec 2020 to Dec 2025).
- In prior years, Americas Gold & Silver's Total Liabilities was $130.5 million in the year ended Dec 31, 2024.
- The figure for the quarter ended Jun 30, 2026 stands as the lowest quarterly Total Liabilities since the quarter ended Mar 31, 2025.
- On a year-over-year basis, Total Liabilities increased in six of the last seven quarters, with growth averaging 32.3%.
- The strongest year-over-year quarter for Total Liabilities in the past five years was the quarter ended Jun 30, 2025, with growth of 66.3%; the weakest was the quarter ended Jun 30, 2026, with a decline of 27.5%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $199.93 million (quarter ended Mar 31, 2026), $191.38 million (quarter ended Dec 31, 2025) and $184.49 million (quarter ended Sep 30, 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 | 163.97 Bn | 142.76 Bn | 2.90 Bn | 11.42 Bn |
| 3 | Rio Tinto | 141.19 Bn | 101.70 Bn | - | 61.08 Bn |
| 4 | Newmont | 124.53 Bn | 92.53 Bn | 4.03 Bn | 22.23 Bn |
| 5 | Freeport-Mcmoran | 98.93 Bn | 82.97 Bn | 2.19 Bn | 27.51 Bn |
| 6 | Agnico Eagle Mines | 93.96 Bn | 83.59 Bn | 2.43 Bn | 9.19 Bn |
| 7 | Barrick Mining | 69.55 Bn | 44.75 Bn | 2.90 Bn | 25.04 Bn |
| 8 | Nucor | 60.45 Bn | 49.83 Bn | 2.03 Bn | 13.69 Bn |
| 9 | ArcelorMittal | 48.41 Bn | 27.44 Bn | - | 44.33 Bn |
| 10 | Americas Gold & Silver | 961.08 Mn | 580.88 Mn | 22.23 Mn | 136.28 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 136.28 Mn |
| Mar 31, 2026 | 199.93 Mn |
| Dec 31, 2025 | 191.38 Mn |
| Sep 30, 2025 | 184.49 Mn |
| Jun 30, 2025 | 188.03 Mn |
| Mar 31, 2025 | 128.87 Mn |
| Dec 31, 2024 | 139.19 Mn |
| Sep 30, 2024 | 126.31 Mn |
| Jun 30, 2024 | 113.03 Mn |
| Mar 31, 2024 | 113.67 Mn |
| Dec 31, 2023 | 108.29 Mn |
| Sep 30, 2023 | 100.06 Mn |
| Jun 30, 2023 | 104.73 Mn |
| Mar 31, 2023 | 100.06 Mn |
| Dec 31, 2022 | 92.23 Mn |
| Sep 30, 2022 | 81.01 Mn |
| Jun 30, 2022 | 90.19 Mn |
| Mar 31, 2022 | -220.88 Mn |
| Dec 31, 2021 | 109.60 Mn |
| Sep 30, 2021 | 333.72 Mn |
Americas Gold & Silver 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=USAS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "USAS", "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=USAS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();