U.S. GoldMining (USGO) Price to Book (2023 - 2026)
U.S. GoldMining's (USGO) Price to Book was 24.82 for Q1 2026, down 32.4% from 36.72 a year earlier but up 60.9% from the prior quarter.
Powered by 
Analysis
U.S. GoldMining (USGO) Price to Book (2023 - 2026) Analysis & Trends
For FY2025, Price to Book at U.S. GoldMining was 15.43, down 36.1% from FY2024.
- By year, Price to Book came in at 24.13 in FY2024 and 7.77 in FY2023.
- Five-year quarterly Price to Book spans a low of 6.08 in Q1 2024 and a high of 43.01 in Q3 2025.
- Year over year, Price to Book gained in three of the last five quarters, with growth averaging 162.8%.
- Per Business Quant data, the three quarters before Q1 2026 came in at 15.43 (Q4 2025), 43.01 (Q3 2025) and 28.39 (Q2 2025).
Peer Set
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. GoldMining | 90.00 Mn | 90.00 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 24.82 |
| Dec 31, 2025 | 15.43 |
| Sep 30, 2025 | 43.01 |
| Jun 30, 2025 | 28.39 |
| Mar 31, 2025 | 36.72 |
| Dec 31, 2024 | 24.13 |
| Sep 30, 2024 | 18.83 |
| Jun 30, 2024 | 8.11 |
| Mar 31, 2024 | 6.08 |
| Nov 30, 2023 | 7.77 |
| Aug 31, 2023 | 7.80 |
| May 31, 2023 | 10.49 |
API Access
U.S. GoldMining Price to Book 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=price-to-book&ticker=USGO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "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=price-to-book&ticker=USGO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();