U.S. GoldMining (USGO) Operating Expenses (2022 - 2026)
U.S. GoldMining's Operating Expenses came in at $1.98 million for Q1 2026, up 50.4% from $1.32 million a year earlier but down 2.6% from the prior quarter.
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Analysis
U.S. GoldMining (USGO) Operating Expenses (2022 - 2026) Analysis & Trends
Over the trailing twelve months to Mar 31, 2026, U.S. GoldMining reported Operating Expenses of $7.78 million, down 14.5% year-over-year; for FY2025, it came in at $7.12 million, down 20.0% from FY2024.
- Operating Expenses carries a three-year compound annual growth rate of 60.1% (FY2022 to FY2025).
- Going back by year, Operating Expenses was $8.89 million in FY2024, $9.78 million in FY2023 (+463.4%) and $1.74 million in FY2022.
- The five-year range for quarterly Operating Expenses is $262,552 (Q2 2022) to $4.43 million (Q3 2024).
- Year-over-year, Operating Expenses increased in three of the last five quarters, with growth averaging 1.5%.
- The fastest year-over-year change in Operating Expenses over five years came in Q2 2023 (growth of 802.2%), and the weakest in Q2 2025 (a decline of 42.5%).
- Business Quant data shows USGO's Operating Expenses at $2.04 million (Q4 2025), $2.84 million (Q3 2025) and $926,884 (Q2 2025) in the three quarters before Q1 2026.
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. GoldMining | 93.51 Mn | 93.51 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 1.98 Mn |
| Dec 31, 2025 | 2.04 Mn |
| Sep 30, 2025 | 2.84 Mn |
| Jun 30, 2025 | 926,884.00 |
| Mar 31, 2025 | 1.32 Mn |
| Dec 31, 2024 | 1.75 Mn |
| Sep 30, 2024 | 4.43 Mn |
| Jun 30, 2024 | 1.61 Mn |
| Mar 31, 2024 | 1.11 Mn |
| Aug 31, 2023 | 2.63 Mn |
| May 31, 2023 | 2.37 Mn |
| Mar 31, 2023 | 1.02 Mn |
| Nov 30, 2022 | 903,657.00 |
| Aug 31, 2022 | 482,832.00 |
| May 31, 2022 | 262,552.00 |
API Access
U.S. GoldMining 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=USGO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=USGO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();