U.S. Gold (USAU) Operating Expenses (2010 - 2026)
U.S. Gold's Operating Expenses came in at $4.76 million for fiscal Q1 2027 (quarter ended Jul 31, 2026), up 30.8% from $3.64 million a year earlier but down 12.8% from the prior quarter.
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Analysis
U.S. Gold (USAU) Operating Expenses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jul 31, 2026, U.S. Gold reported Operating Expenses of $20.12 million, up 43.2% year-over-year; for FY2026 (ended Apr 30, 2026), it was $19 million, up 46.1% from FY2025.
- Operating Expenses carries a five-year compound annual growth rate of 8.9% (FY2021 to FY2026).
- Going back by fiscal year, Operating Expenses was $13.01 million in FY2025 (+79.2%), $7.26 million in FY2024 (-22.8%), $9.4 million in FY2023 (-37.1%) and $14.95 million in FY2022 (+20.7%).
- The five-year range for quarterly Operating Expenses is $1.28 million (fiscal Q3 2024) to $5.46 million (fiscal Q4 2026).
- Year-over-year, Operating Expenses has increased for eight consecutive quarters, with growth averaging 91.0% over the last eight quarters.
- The fastest year-over-year change in Operating Expenses over five years came in fiscal Q3 2025 (growth of 299.1%), and the weakest in fiscal Q2 2023 (a decline of 50.8%).
- Business Quant data shows USAU's Operating Expenses at $5.46 million (Q4 2026), $5.35 million (Q3 2026) and $4.55 million (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 179.45 Bn | 145.58 Bn | - | - |
| 2 | Southern Copper | 169.08 Bn | 147.94 Bn | 2.90 Bn | 1.67 Bn |
| 3 | Newmont | 122.31 Bn | 90.49 Bn | 4.03 Bn | 3.02 Bn |
| 4 | Ternium | 109.20 Bn | 74.25 Bn | 941.02 Mn | -427.80 Mn |
| 5 | Freeport-Mcmoran | 103.31 Bn | 99.46 Bn | 2.19 Bn | 5.03 Bn |
| 6 | Agnico Eagle Mines | 92.04 Bn | 92.04 Bn | 2.43 Bn | 57.95 Mn |
| 7 | Barrick Mining | 68.84 Bn | 53.58 Bn | 2.90 Bn | 165.00 Mn |
| 8 | Nucor | 55.48 Bn | 46.02 Bn | 2.03 Bn | 405.00 Mn |
| 9 | ArcelorMittal | 53.16 Bn | 34.19 Bn | - | -780.00 Mn |
| 10 | U.S. Gold | 244.59 Mn | 244.59 Mn | - | 4.76 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 4.76 Mn |
| Apr 30, 2026 | 5.46 Mn |
| Jan 31, 2026 | 5.35 Mn |
| Oct 31, 2025 | 4.55 Mn |
| Jul 31, 2025 | 3.64 Mn |
| Apr 30, 2025 | 3.18 Mn |
| Jan 31, 2025 | 5.09 Mn |
| Oct 31, 2024 | 2.14 Mn |
| Jul 31, 2024 | 2.59 Mn |
| Apr 30, 2024 | 1.29 Mn |
| Jan 31, 2024 | 1.28 Mn |
| Oct 31, 2023 | 1.77 Mn |
| Jul 31, 2023 | 2.93 Mn |
| Apr 30, 2023 | 2.14 Mn |
| Jan 31, 2023 | 2.27 Mn |
| Oct 31, 2022 | 2.11 Mn |
| Jul 31, 2022 | 2.89 Mn |
| Apr 30, 2022 | 2.77 Mn |
| Jan 31, 2022 | 4.34 Mn |
| Oct 31, 2021 | 4.29 Mn |
API Access
U.S. Gold Operating Expenses 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=operating-expenses&ticker=USAU&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=USAU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();