Golden Minerals (AUMN) Selling, General & Administrative (2010 - 2026)
Golden Minerals (AUMN) reported Selling, General & Administrative of $345,000 for Q2 2026, down 53.9% from $748,000 a year earlier and down 29.4% from the prior quarter.
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Analysis
Golden Minerals (AUMN) Selling, General & Administrative (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Golden Minerals' Selling, General & Administrative came in at $1.67 million, down 42.3% year-over-year; for FY2025, it came in at $2.3 million, down 35.8% from FY2024.
- Selling, General & Administrative has a five-year compound annual growth rate of -8.8% (FY2020 to FY2025).
- By year, Selling, General & Administrative came in at $3.58 million in FY2024 (-23.2%), $4.66 million in FY2023 (+3.6%), $4.5 million in FY2022 (-6.7%) and $4.82 million in FY2021 (+32.0%).
- The Q2 2026 figure ranks as the lowest quarterly Selling, General & Administrative in data going back to Q2 2010.
- Year over year, Selling, General & Administrative has now declined in each of the last 11 quarters, with an average decline of 36.9% over the last eight quarters.
- The high point for year-over-year Selling, General & Administrative in five years was Q4 2021 (growth of 57.7%); the low point was Q2 2026 (a decline of 53.9%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $489,000 (Q1 2026), $407,000 (Q4 2025) and $430,000 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 182.38 Bn | 151.41 Bn | - | - |
| 2 | Southern Copper | 151.38 Bn | 130.17 Bn | 2.90 Bn | 35.30 Mn |
| 3 | Rio Tinto | 135.17 Bn | 95.67 Bn | - | - |
| 4 | Newmont | 115.47 Bn | 80.61 Bn | 4.22 Bn | 82.00 Mn |
| 5 | Freeport-Mcmoran | 93.51 Bn | 77.55 Bn | 2.19 Bn | 135.00 Mn |
| 6 | Agnico Eagle Mines | 87.07 Bn | 76.70 Bn | 2.43 Bn | 57.95 Mn |
| 7 | Barrick Mining | 65.15 Bn | 40.35 Bn | 2.90 Bn | 31.00 Mn |
| 8 | Nucor | 60.22 Bn | 49.60 Bn | 2.03 Bn | 405.00 Mn |
| 9 | ArcelorMittal | 45.40 Bn | 24.42 Bn | - | - |
| 10 | Golden Minerals | 3.36 Mn | -3.11 Mn | - | 345,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 345,000.00 |
| Mar 31, 2026 | 489,000.00 |
| Dec 31, 2025 | 407,000.00 |
| Sep 30, 2025 | 430,000.00 |
| Jun 30, 2025 | 748,000.00 |
| Mar 31, 2025 | 715,000.00 |
| Dec 31, 2024 | 619,000.00 |
| Sep 30, 2024 | 816,000.00 |
| Jun 30, 2024 | 1.10 Mn |
| Mar 31, 2024 | 1.05 Mn |
| Dec 31, 2023 | 1.00 Mn |
| Sep 30, 2023 | 1.11 Mn |
| Jun 30, 2023 | 1.22 Mn |
| Mar 31, 2023 | 1.33 Mn |
| Dec 31, 2022 | 1.03 Mn |
| Sep 30, 2022 | 918,000.00 |
| Jun 30, 2022 | 1.28 Mn |
| Mar 31, 2022 | 1.27 Mn |
| Dec 31, 2021 | 1.37 Mn |
| Sep 30, 2021 | 911,000.00 |
API Access
Golden Minerals Selling, General & Administrative 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=selling-general-and-administrative&ticker=AUMN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=AUMN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();