U.S. GoldMining (USGO) Selling, General & Administrative (2022 - 2026)
U.S. GoldMining's Selling, General & Administrative was $1.41 million in Q1 2026, up 33.6% from $1.06 million a year earlier but down 4.9% from the prior quarter.
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Analysis
U.S. GoldMining (USGO) Selling, General & Administrative (2022 - 2026) Analysis & Trends
On a trailing twelve-month basis, U.S. GoldMining's Selling, General & Administrative was $4.26 million through Mar 31, 2026, up 27.5% year-over-year; for FY2025, it was $3.9 million, up 32.5% from FY2024.
- Selling, General & Administrative shows a three-year compound annual growth rate of 49.3% (FY2022 to FY2025).
- In earlier years, Selling, General & Administrative was $2.95 million in FY2024, $4.67 million in FY2023 (+298.2%) and $1.17 million in FY2022.
- Quarterly Selling, General & Administrative has moved between $220,985 (Q2 2022) and $2.16 million (Q2 2023) over five years.
- Compared with a year earlier, Selling, General & Administrative has increased for five straight quarters, with growth averaging 34.0% over the last five quarters.
- The best year-over-year quarter for Selling, General & Administrative over five years was Q2 2023 (growth of 877.3%); the worst was Q1 2024 (a decline of 25.6%).
- Per Business Quant data, USGO's Selling, General & Administrative in the three quarters before Q1 2026 was $1.48 million (Q4 2025), $699,855 (Q3 2025) and $666,367 (Q2 2025).
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 | U.S. GoldMining | 88.10 Mn | 88.10 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 1.41 Mn |
| Dec 31, 2025 | 1.48 Mn |
| Sep 30, 2025 | 699,855.00 |
| Jun 30, 2025 | 666,367.00 |
| Mar 31, 2025 | 1.06 Mn |
| Dec 31, 2024 | 1.15 Mn |
| Sep 30, 2024 | 477,869.00 |
| Jun 30, 2024 | 653,110.00 |
| Mar 31, 2024 | 662,901.00 |
| Aug 31, 2023 | 1.15 Mn |
| May 31, 2023 | 2.16 Mn |
| Mar 31, 2023 | 891,280.00 |
| Nov 30, 2022 | 525,641.00 |
| Aug 31, 2022 | 381,449.00 |
| May 31, 2022 | 220,985.00 |
API Access
U.S. GoldMining 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=USGO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "USGO", "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=USGO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();