United States Antimony (UAMY) Selling, General & Administrative (2009 - 2026)
United States Antimony (UAMY) recorded Selling, General & Administrative of $1.61 million in Q2 2026, up 91.0% from $842,951 a year earlier.
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Analysis
United States Antimony (UAMY) Selling, General & Administrative (2009 - 2026) Analysis & Trends
On a TTM basis, United States Antimony's Selling, General & Administrative came in at $4.18 million as of Jun 30, 2026, up 71.3% year-over-year; for FY2025, it was $3.13 million, up 52.2% from FY2024.
- Annual Selling, General & Administrative has increased for three straight years, with a five-year compound annual growth rate of 38.8% (FY2020 to FY2025).
- Across earlier years, Selling, General & Administrative came in at $2.05 million in FY2024 (+25.0%), $1.64 million in FY2023 (+149.5%), $658,242 in FY2022 (-2.9%) and $677,558 in FY2021 (+11.6%).
- The Q2 2026 figure is the highest quarterly Selling, General & Administrative in data going back to Q2 2010.
- On a year-over-year basis, Selling, General & Administrative rose in six of the last seven quarters, with growth averaging 51.8%.
- Peak year-over-year performance for Selling, General & Administrative in the last five years was growth of 472.1% in Q4 2023, against a decline of 54.5% in Q4 2024 at the low end.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Nucor | 175.24 Bn | 165.01 Bn | 2.33 Bn | 444.00 Mn |
| 2 | Rio Tinto | 166.15 Bn | 128.95 Bn | - | - |
| 3 | Southern Copper | 143.83 Bn | 118.64 Bn | 3.10 Bn | 36.40 Mn |
| 4 | Rio Tinto | 137.31 Bn | 104.37 Bn | - | - |
| 5 | Newmont | 124.66 Bn | 89.98 Bn | 4.22 Bn | 82.00 Mn |
| 6 | Ternium | 102.52 Bn | 75.29 Bn | 1.04 Bn | 447.84 Mn |
| 7 | Agnico Eagle Mines | 95.19 Bn | 82.13 Bn | 2.15 Bn | 69.56 Mn |
| 8 | Freeport-Mcmoran | 86.53 Bn | 83.18 Bn | 2.55 Bn | 131.00 Mn |
| 9 | Barrick Mining | 66.50 Bn | 50.91 Bn | 2.71 Bn | 51.00 Mn |
| 10 | United States Antimony | 483.17 Mn | 374.42 Mn | 583,297.00 | 1.61 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.61 Mn |
| Mar 31, 2026 | 1.33 Mn |
| Dec 31, 2025 | 848,578.00 |
| Sep 30, 2025 | 882,909.00 |
| Jun 30, 2025 | 842,951.00 |
| Mar 31, 2025 | 550,595.00 |
| Dec 31, 2024 | 438,804.00 |
| Sep 30, 2024 | 610,888.00 |
| Jun 30, 2024 | 502,874.00 |
| Mar 31, 2024 | 500,286.00 |
| Dec 31, 2023 | 963,534.00 |
| Sep 30, 2023 | 290,045.00 |
| Jun 30, 2023 | 247,419.00 |
| Mar 31, 2023 | 141,271.00 |
| Dec 31, 2022 | 168,432.00 |
| Sep 30, 2022 | 108,538.00 |
| Jun 30, 2022 | 220,591.00 |
| Mar 31, 2022 | 160,681.00 |
| Dec 31, 2021 | 104,653.00 |
| Sep 30, 2021 | 112,744.00 |
API Access
United States Antimony 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=UAMY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "UAMY", "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=UAMY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();