U.S. Gold (USAU) Enterprise Value (2011 - 2026)
U.S. Gold's Enterprise Value came in at $187.39 million for fiscal Q1 2027 (quarter ended Jul 31, 2026), up 42.0% from $132 million a year earlier but down 22.1% from the prior quarter.
U.S. Gold (USAU) Enterprise Value (2011 - 2026) Analysis & Trends
Over the trailing twelve months to Jul 31, 2026, U.S. Gold reported Enterprise Value of $111.8 million, down 1.1% year-over-year; for FY2026 (ended Apr 30, 2026), it came in at $240.7 million, up 83.6% from FY2025.
- Enterprise Value has increased in each of the last three fiscal years, with a five-year compound annual growth rate of 44.5% (FY2021 to FY2026).
- Going back by fiscal year, Enterprise Value was $131.07 million in FY2025 (+233.6%), $39.29 million in FY2024 (+21.8%), $32.24 million in FY2023 (-15.3%) and $38.07 million in FY2022 (-0.3%).
- The five-year range for quarterly Enterprise Value is $26.61 million (fiscal Q2 2023) to $249.23 million (fiscal Q3 2026).
- Year-over-year, Enterprise Value has increased for ten consecutive quarters, with growth averaging 151.1% over the last eight quarters.
- The fastest year-over-year change in Enterprise Value over five years came in fiscal Q4 2025 (growth of 233.6%), and the weakest in fiscal Q2 2023 (a decline of 57.9%).
- Business Quant data shows USAU's Enterprise Value at $240.7 million (Q4 2026), $249.23 million (Q3 2026) and $211.54 million (Q2 2026) in the three fiscal quarters before Q1 2027.
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. Gold | 245.58 Mn | 245.58 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 187.39 Mn |
| Apr 30, 2026 | 240.70 Mn |
| Jan 31, 2026 | 249.23 Mn |
| Oct 31, 2025 | 211.54 Mn |
| Jul 31, 2025 | 132.00 Mn |
| Apr 30, 2025 | 131.07 Mn |
| Jan 31, 2025 | 82.11 Mn |
| Oct 31, 2024 | 64.70 Mn |
| Jul 31, 2024 | 59.30 Mn |
| Apr 30, 2024 | 39.29 Mn |
| Jan 31, 2024 | 31.89 Mn |
| Oct 31, 2023 | 27.11 Mn |
| Jul 31, 2023 | 35.63 Mn |
| Apr 30, 2023 | 32.24 Mn |
| Jan 31, 2023 | 33.31 Mn |
| Oct 31, 2022 | 26.61 Mn |
| Jul 31, 2022 | 28.33 Mn |
| Apr 30, 2022 | 38.07 Mn |
| Jan 31, 2022 | 43.37 Mn |
| Oct 31, 2021 | 63.26 Mn |
U.S. Gold Enterprise Value 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=enterprise-value&ticker=USAU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "ticker": "USAU", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=enterprise-value&ticker=USAU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();