U.S. GoldMining (USGO) Accumulated Expenses (2022 - 2026)
U.S. GoldMining (USGO) reported Accumulated Expenses of $65,316 for Q1 2026, down 52.7% from $138,206 a year earlier and down 47.3% from the prior quarter.
Powered by 
Analysis
U.S. GoldMining (USGO) Accumulated Expenses (2022 - 2026) Analysis & Trends
At the end of FY2025, U.S. GoldMining posted Accumulated Expenses of $123,914, up 327.5% from FY2024.
- Accumulated Expenses has a three-year compound annual growth rate of 66.3% (FY2022 to FY2025).
- By year, Accumulated Expenses came in at $28,983 in FY2024, $112,048 in FY2023 (+316.2%) and $26,922 in FY2022.
- The Q1 2026 figure ranks as the lowest quarterly Accumulated Expenses since Q4 2024.
- Year over year, Accumulated Expenses gained in three of the last five quarters, with growth averaging 129.2%.
- Per Business Quant data, the three quarters before Q1 2026 came in at $123,914 (Q4 2025), $331,252 (Q3 2025) and $77,359 (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Rio Tinto | 182.38 Bn | 151.41 Bn | - |
| 2 | Southern Copper | 152.17 Bn | 130.96 Bn | 2.90 Bn |
| 3 | Rio Tinto | 136.50 Bn | 97.00 Bn | - |
| 4 | Newmont | 121.22 Bn | 89.23 Bn | 4.03 Bn |
| 5 | Freeport-Mcmoran | 92.90 Bn | 76.94 Bn | 2.19 Bn |
| 6 | Agnico Eagle Mines | 88.76 Bn | 78.39 Bn | 2.43 Bn |
| 7 | Barrick Mining | 66.12 Bn | 41.32 Bn | 2.90 Bn |
| 8 | Nucor | 58.75 Bn | 48.13 Bn | 2.03 Bn |
| 9 | ArcelorMittal | 45.93 Bn | 24.95 Bn | - |
| 10 | U.S. GoldMining | 61.30 Mn | 61.30 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 65,316.00 |
| Dec 31, 2025 | 123,914.00 |
| Sep 30, 2025 | 331,252.00 |
| Jun 30, 2025 | 77,359.00 |
| Mar 31, 2025 | 138,206.00 |
| Dec 31, 2024 | 28,983.00 |
| Sep 30, 2024 | 67,707.00 |
| Jun 30, 2024 | 70,775.00 |
| Mar 31, 2024 | 190,514.00 |
| Nov 30, 2023 | 112,048.00 |
| Aug 31, 2023 | 72,416.00 |
| May 31, 2023 | 296,560.00 |
| Nov 30, 2022 | 26,922.00 |
API Access
U.S. GoldMining Accumulated 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=accumulated-expenses&ticker=USGO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=USGO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();