United States Antimony (UAMY) Selling, General & Administrative (2010 - 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 (2010 - 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 | Rio Tinto | 193.68 Bn | 159.81 Bn | - | - |
| 2 | Southern Copper | 171.36 Bn | 150.22 Bn | 2.90 Bn | 35.30 Mn |
| 3 | Newmont | 121.76 Bn | 89.94 Bn | 4.03 Bn | 74.00 Mn |
| 4 | Ternium | 113.51 Bn | 78.56 Bn | 941.02 Mn | -427.80 Mn |
| 5 | Freeport-Mcmoran | 103.45 Bn | 99.60 Bn | 2.19 Bn | 135.00 Mn |
| 6 | Agnico Eagle Mines | 91.92 Bn | 91.92 Bn | 2.43 Bn | 57.95 Mn |
| 7 | Barrick Mining | 67.42 Bn | 52.16 Bn | 2.90 Bn | 31.00 Mn |
| 8 | Nucor | 54.54 Bn | 45.08 Bn | 2.03 Bn | 405.00 Mn |
| 9 | ArcelorMittal | 49.09 Bn | 30.12 Bn | - | - |
| 10 | United States Antimony | 599.08 Mn | 524.96 Mn | 583,297.00 | 1.61 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.61 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 |
| Jun 30, 2021 | 290,111.00 |
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();