U.S. Gold (USAU) Other Operating Expenses (2010 - 2026)
U.S. Gold's Other Operating Expenses was $2.44 million in fiscal Q1 2027 (quarter ended Jul 31, 2026), up 68.3% from $1.45 million a year earlier but down 20.0% from the prior quarter.
U.S. Gold (USAU) Other Operating Expenses (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, U.S. Gold's Other Operating Expenses was $10.57 million through Jul 31, 2026, up 98.5% year-over-year; for FY2026 (ended Apr 30, 2026), it came in at $9.58 million, up 111.6% from FY2025.
- Other Operating Expenses shows a five-year compound annual growth rate of 18.6% (FY2021 to FY2026).
- In earlier fiscal years, Other Operating Expenses was $4.53 million in FY2025 (+48.1%), $3.06 million in FY2024 (-28.3%), $4.26 million in FY2023 (+0.8%) and $4.23 million in FY2022 (+3.5%).
- Quarterly Other Operating Expenses has moved between $483,234 (fiscal Q4 2024) and $3.05 million (fiscal Q4 2026) over five years.
- Compared with a year earlier, Other Operating Expenses has increased for seven straight quarters, with growth averaging 133.4% over the last eight quarters.
- The best year-over-year quarter for Other Operating Expenses over five years was fiscal Q2 2026 (growth of 279.2%); the worst was fiscal Q2 2022 (a decline of 63.3%).
- Per Business Quant data, USAU's Other Operating Expenses in the three fiscal quarters before Q1 2027 was $3.05 million (Q4 2026), $2.57 million (Q3 2026) and $2.51 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Rio Tinto | 181.90 Bn | 148.03 Bn | - |
| 2 | Southern Copper | 169.19 Bn | 148.06 Bn | 2.90 Bn |
| 3 | Newmont | 121.55 Bn | 89.73 Bn | 4.03 Bn |
| 4 | Ternium | 108.92 Bn | 73.97 Bn | 941.02 Mn |
| 5 | Freeport-Mcmoran | 100.46 Bn | 96.62 Bn | 2.19 Bn |
| 6 | Agnico Eagle Mines | 91.62 Bn | 91.62 Bn | 2.43 Bn |
| 7 | Barrick Mining | 68.12 Bn | 52.86 Bn | 2.90 Bn |
| 8 | Nucor | 53.04 Bn | 43.58 Bn | 2.03 Bn |
| 9 | ArcelorMittal | 50.74 Bn | 31.77 Bn | - |
| 10 | U.S. Gold | 245.58 Mn | 245.58 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 2.44 Mn |
| Apr 30, 2026 | 3.05 Mn |
| Jan 31, 2026 | 2.57 Mn |
| Oct 31, 2025 | 2.51 Mn |
| Jul 31, 2025 | 1.45 Mn |
| Apr 30, 2025 | 1.25 Mn |
| Jan 31, 2025 | 1.96 Mn |
| Oct 31, 2024 | 661,954.00 |
| Jul 31, 2024 | 652,489.00 |
| Apr 30, 2024 | 483,234.00 |
| Jan 31, 2024 | 531,182.00 |
| Oct 31, 2023 | 695,216.00 |
| Jul 31, 2023 | 1.35 Mn |
| Apr 30, 2023 | 940,164.00 |
| Jan 31, 2023 | 1.06 Mn |
| Oct 31, 2022 | 936,845.00 |
| Jul 31, 2022 | 1.33 Mn |
| Apr 30, 2022 | 1.25 Mn |
| Jan 31, 2022 | 1.26 Mn |
| Oct 31, 2021 | 643,511.00 |
U.S. Gold Other 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=other-operating-expenses&ticker=USAU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-operating-expenses&ticker=USAU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();