U.S. GoldMining (USGO) Other Accumulated Expenses (2023 - 2026)
U.S. GoldMining (USGO) posted Other Accumulated Expenses of $180,863 for Q1 2026, unchanged from $180,863 a year earlier and unchanged from the prior quarter.
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Analysis
U.S. GoldMining (USGO) Other Accumulated Expenses (2023 - 2026) Analysis & Trends
Since Q4 2023, U.S. GoldMining has reported Other Accumulated Expenses for 7 quarters.
- In prior years, U.S. GoldMining's Other Accumulated Expenses was $180,863 in FY2024 and $185,781 in FY2023.
- Quarterly Other Accumulated Expenses has run from a low of $180,863 in Q4 2024 to a high of $185,781 in Q4 2023 over five years.
- According to Business Quant data, Other Accumulated Expenses for the three prior quarters was $180,863 (Q4 2025), $180,863 (Q3 2025) and $180,863 (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Rio Tinto | 164.02 Bn | 133.06 Bn | - |
| 2 | Southern Copper | 154.30 Bn | 133.16 Bn | 2.90 Bn |
| 3 | Rio Tinto | 135.37 Bn | 95.87 Bn | - |
| 4 | Newmont | 113.13 Bn | 78.45 Bn | 4.22 Bn |
| 5 | Freeport-Mcmoran | 93.66 Bn | 89.81 Bn | 2.19 Bn |
| 6 | Agnico Eagle Mines | 86.95 Bn | 76.58 Bn | 2.43 Bn |
| 7 | Barrick Mining | 63.88 Bn | 48.62 Bn | 2.90 Bn |
| 8 | Nucor | 58.56 Bn | 49.10 Bn | 2.03 Bn |
| 9 | ArcelorMittal | 45.28 Bn | 26.31 Bn | - |
| 10 | U.S. GoldMining | 61.48 Mn | 61.48 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 180,863.00 |
| Dec 31, 2025 | 180,863.00 |
| Sep 30, 2025 | 180,863.00 |
| Jun 30, 2025 | 180,863.00 |
| Mar 31, 2025 | 180,863.00 |
| Dec 31, 2024 | 180,863.00 |
| Nov 30, 2023 | 185,781.00 |
API Access
U.S. GoldMining Other 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=other-accumulated-expenses&ticker=USGO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-accumulated-expenses&ticker=USGO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();