U.S. GoldMining (USGO) Inventory (2023 - 2026)
U.S. GoldMining's Inventory came in at $28,644 for Q1 2026, down 17.8% from $34,858 a year earlier and unchanged from the prior quarter.
Analysis
U.S. GoldMining (USGO) Inventory (2023 - 2026) Analysis & Trends
Going back to Q3 2023, U.S. GoldMining's Inventory data covers 11 quarters.
- Going back by year, Inventory was $34,858 in FY2024 and $27,249 in FY2023.
- The five-year range for quarterly Inventory is $14,720 (Q3 2025) to $36,183 (Q3 2024).
- Year-over-year, Inventory has declined for three consecutive quarters, with an average decline of 12.9% over the last five quarters.
- Business Quant data shows USGO's Inventory at $28,644 (Q4 2025), $14,720 (Q3 2025) and $34,858 (Q2 2025) in the three quarters before Q1 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 182.38 Bn | 151.41 Bn | - | 7.73 Bn |
| 2 | Southern Copper | 168.37 Bn | 147.16 Bn | 2.90 Bn | 1.06 Bn |
| 3 | Rio Tinto | 143.30 Bn | 103.81 Bn | - | 6.97 Bn |
| 4 | Newmont | 124.60 Bn | 92.60 Bn | 4.03 Bn | 1.48 Bn |
| 5 | Freeport-Mcmoran | 99.37 Bn | 83.41 Bn | 2.19 Bn | - |
| 6 | Agnico Eagle Mines | 93.62 Bn | 83.25 Bn | 2.43 Bn | 1.62 Bn |
| 7 | Barrick Mining | 69.14 Bn | 44.34 Bn | 2.90 Bn | 2.09 Bn |
| 8 | Nucor | 59.65 Bn | 49.03 Bn | 2.03 Bn | 6.02 Bn |
| 9 | ArcelorMittal | 48.27 Bn | 27.29 Bn | - | 19.28 Bn |
| 10 | U.S. GoldMining | 74.72 Mn | 74.72 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 28,644.00 |
| Dec 31, 2025 | 28,644.00 |
| Sep 30, 2025 | 14,720.00 |
| Jun 30, 2025 | 34,858.00 |
| Mar 31, 2025 | 34,858.00 |
| Dec 31, 2024 | 34,858.00 |
| Sep 30, 2024 | 36,183.00 |
| Jun 30, 2024 | 33,916.00 |
| Mar 31, 2024 | 27,249.00 |
| Nov 30, 2023 | 27,249.00 |
| Aug 31, 2023 | 32,047.00 |
API Access
U.S. GoldMining Inventory 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=inventory&ticker=USGO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=USGO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();