Golden Minerals (AUMN) Total Liabilities (2010 - 2026)
Golden Minerals (AUMN) recorded Total Liabilities of $1.03 million in Q2 2026, down 86.6% from $7.68 million a year earlier but up 9.6% from the prior quarter.
Golden Minerals (AUMN) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Golden Minerals reported Total Liabilities of $1.36 million, down 80.3% from FY2024.
- Annual Total Liabilities has a five-year compound annual growth rate of -26.4% (FY2020 to FY2025).
- Across earlier years, Total Liabilities came in at $6.92 million in FY2024 (-29.4%), $9.8 million in FY2023 (+15.7%), $8.46 million in FY2022 (-12.0%) and $9.62 million in FY2021 (+51.9%).
- Quarterly Total Liabilities has ranged from $936,000 in Q1 2026 to $10.83 million in Q1 2023 over the past five years.
- On a year-over-year basis, Total Liabilities has declined for three consecutive quarters, with an average decline of 41.7% over the last eight quarters.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 51.9% in Q4 2021, against a decline of 88.6% in Q1 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $936,000 (Q1 2026), $1.36 million (Q4 2025) and $7.78 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 | 152.17 Bn | 130.96 Bn | 2.90 Bn | 11.42 Bn |
| 3 | Rio Tinto | 136.50 Bn | 97.00 Bn | - | 61.08 Bn |
| 4 | Newmont | 121.22 Bn | 89.23 Bn | 4.03 Bn | 22.23 Bn |
| 5 | Freeport-Mcmoran | 92.90 Bn | 76.94 Bn | 2.19 Bn | 27.51 Bn |
| 6 | Agnico Eagle Mines | 88.76 Bn | 78.39 Bn | 2.43 Bn | 9.19 Bn |
| 7 | Barrick Mining | 66.12 Bn | 41.32 Bn | 2.90 Bn | 25.04 Bn |
| 8 | Nucor | 58.75 Bn | 48.13 Bn | 2.03 Bn | 13.69 Bn |
| 9 | ArcelorMittal | 45.93 Bn | 24.95 Bn | - | 44.33 Bn |
| 10 | Golden Minerals | 3.36 Mn | -3.11 Mn | - | 1.03 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.03 Mn |
| Mar 31, 2026 | 936,000.00 |
| Dec 31, 2025 | 1.36 Mn |
| Sep 30, 2025 | 7.78 Mn |
| Jun 30, 2025 | 7.68 Mn |
| Mar 31, 2025 | 8.20 Mn |
| Dec 31, 2024 | 6.92 Mn |
| Sep 30, 2024 | 7.79 Mn |
| Jun 30, 2024 | 8.03 Mn |
| Mar 31, 2024 | 10.73 Mn |
| Dec 31, 2023 | 9.80 Mn |
| Sep 30, 2023 | 9.78 Mn |
| Jun 30, 2023 | 9.58 Mn |
| Mar 31, 2023 | 10.83 Mn |
| Dec 31, 2022 | 8.46 Mn |
| Sep 30, 2022 | 8.92 Mn |
| Jun 30, 2022 | 9.19 Mn |
| Mar 31, 2022 | 9.94 Mn |
| Dec 31, 2021 | 9.62 Mn |
| Sep 30, 2021 | 7.46 Mn |
Golden 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=AUMN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "AUMN", "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=AUMN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();