Golden Minerals (AUMN) Operating Expenses (2010 - 2026)
Golden Minerals (AUMN) reported Operating Expenses of $444,000 for Q2 2026, down 52.4% from $933,000 a year earlier and down 28.5% from the prior quarter.
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Analysis
Golden Minerals (AUMN) Operating Expenses (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Golden Minerals' Operating Expenses came in at $2.81 million, down 23.7% year-over-year; for FY2025, it was $3.55 million, down 22.1% from FY2024.
- Operating Expenses has declined for three consecutive years, with a five-year compound annual growth rate of -24.5% (FY2020 to FY2025).
- By year, Operating Expenses came in at $4.55 million in FY2024 (-26.4%), $6.19 million in FY2023 (-81.5%), $33.43 million in FY2022 (+23.5%) and $27.06 million in FY2021 (+87.4%).
- The Q2 2026 figure ranks as the lowest quarterly Operating Expenses since Q4 2023.
- Year over year, Operating Expenses gained in 1 of the last seven quarters, with an average decline of 31.5%.
- The high point for year-over-year Operating Expenses in five years was Q4 2021 (growth of 148.3%); the low point was Q1 2024 (a decline of 82.8%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $621,000 (Q1 2026), $1.06 million (Q4 2025) and $688,000 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 182.38 Bn | 151.41 Bn | - | - |
| 2 | Southern Copper | 152.17 Bn | 130.96 Bn | 2.90 Bn | 1.67 Bn |
| 3 | Rio Tinto | 136.50 Bn | 97.00 Bn | - | - |
| 4 | Newmont | 121.22 Bn | 89.23 Bn | 4.03 Bn | 3.02 Bn |
| 5 | Freeport-Mcmoran | 92.90 Bn | 76.94 Bn | 2.19 Bn | 5.03 Bn |
| 6 | Agnico Eagle Mines | 88.76 Bn | 78.39 Bn | 2.43 Bn | 119.48 Mn |
| 7 | Barrick Mining | 66.12 Bn | 41.32 Bn | 2.90 Bn | 165.00 Mn |
| 8 | Nucor | 58.75 Bn | 48.13 Bn | 2.03 Bn | 405.00 Mn |
| 9 | ArcelorMittal | 45.93 Bn | 24.95 Bn | - | -780.00 Mn |
| 10 | Golden Minerals | 3.36 Mn | -3.11 Mn | - | 444,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 444,000.00 |
| Mar 31, 2026 | 621,000.00 |
| Dec 31, 2025 | 1.06 Mn |
| Sep 30, 2025 | 688,000.00 |
| Jun 30, 2025 | 933,000.00 |
| Mar 31, 2025 | 860,000.00 |
| Dec 31, 2024 | 757,000.00 |
| Sep 30, 2024 | 1.14 Mn |
| Jun 30, 2024 | 1.45 Mn |
| Mar 31, 2024 | 1.21 Mn |
| Dec 31, 2023 | -11.48 Mn |
| Sep 30, 2023 | 4.87 Mn |
| Jun 30, 2023 | 6.09 Mn |
| Mar 31, 2023 | 7.05 Mn |
| Dec 31, 2022 | 8.58 Mn |
| Sep 30, 2022 | 8.16 Mn |
| Jun 30, 2022 | 8.88 Mn |
| Mar 31, 2022 | 7.81 Mn |
| Dec 31, 2021 | 7.75 Mn |
| Sep 30, 2021 | 8.00 Mn |
API Access
Golden Minerals Operating 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=operating-expenses&ticker=AUMN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=AUMN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();