U.S. Gold (USAU) Selling, General & Administrative (2010 - 2026)
U.S. Gold (USAU) reported Selling, General & Administrative of $1.46 million for fiscal Q1 2027 (quarter ended Jul 31, 2026), down 8.2% from $1.59 million a year earlier but up 6.8% from the prior quarter.
U.S. Gold (USAU) Selling, General & Administrative (2010 - 2026) Analysis & Trends
Over the twelve months ended Jul 31, 2026, U.S. Gold's Selling, General & Administrative came in at $5.09 million, up 14.2% year-over-year; for FY2026 (ended Apr 30, 2026), it came in at $5.22 million, up 35.2% from FY2025.
- Selling, General & Administrative has a five-year compound annual growth rate of 40.7% (FY2021 to FY2026).
- By fiscal year, Selling, General & Administrative came in at $3.86 million in FY2025 (+180.5%), $1.38 million in FY2024 (-10.8%), $1.54 million in FY2023 (+27.9%) and $1.21 million in FY2022 (+27.3%).
- Five-year quarterly Selling, General & Administrative spans a low of $256,451 in fiscal Q3 2024 and a high of $1.59 million in fiscal Q1 2026.
- Year over year, Selling, General & Administrative gained in seven of the last eight quarters, with growth averaging 86.8%.
- The high point for year-over-year Selling, General & Administrative in five years was fiscal Q3 2025 (growth of 283.2%); the low point was fiscal Q4 2024 (a decline of 18.7%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $1.36 million (Q4 2026), $1.15 million (Q3 2026) and $1.12 million (Q2 2026).
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. Gold | 239.13 Mn | 239.13 Mn | - | 1.46 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 1.46 Mn |
| Apr 30, 2026 | 1.36 Mn |
| Jan 31, 2026 | 1.15 Mn |
| Oct 31, 2025 | 1.12 Mn |
| Jul 31, 2025 | 1.59 Mn |
| Apr 30, 2025 | 1.13 Mn |
| Jan 31, 2025 | 982,773.00 |
| Oct 31, 2024 | 757,802.00 |
| Jul 31, 2024 | 988,060.00 |
| Apr 30, 2024 | 430,108.00 |
| Jan 31, 2024 | 256,451.00 |
| Oct 31, 2023 | 360,139.00 |
| Jul 31, 2023 | 329,773.00 |
| Apr 30, 2023 | 528,867.00 |
| Jan 31, 2023 | 304,327.00 |
| Oct 31, 2022 | 315,233.00 |
| Jul 31, 2022 | 393,901.00 |
| Apr 30, 2022 | 284,979.00 |
| Jan 31, 2022 | 338,181.00 |
| Oct 31, 2021 | 330,895.00 |
U.S. Gold 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=USAU&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "USAU", "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=USAU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();