U.S. GoldMining (USGO) EBITDA (2022 - 2026)
U.S. GoldMining (USGO) recorded EBITDA of -$1.95 million in Q1 2026, compared with -$1.28 million a year earlier.
Analysis
U.S. GoldMining (USGO) EBITDA (2022 - 2026) Analysis & Trends
On a TTM basis, U.S. GoldMining's EBITDA came in at -$7.64 million as of Mar 31, 2026; for FY2025, it came in at -$6.97 million.
- Across earlier years, EBITDA came in at -$8.77 million in FY2024 and -$9.75 million in FY2023.
- Quarterly EBITDA has ranged from -$4.39 million in Q3 2024 to -$257,793 in Q2 2022 over the past five years.
- Per Business Quant, the preceding three quarters came in at -$2 million (Q4 2025), -$2.8 million (Q3 2025) and -$891,448 (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 182.38 Bn | 151.41 Bn | - | - |
| 2 | Southern Copper | 162.86 Bn | 141.64 Bn | 2.90 Bn | 2.85 Bn |
| 3 | Rio Tinto | 141.42 Bn | 101.92 Bn | - | - |
| 4 | Newmont | 124.37 Bn | 92.37 Bn | 4.03 Bn | 1.61 Bn |
| 5 | Freeport-Mcmoran | 98.93 Bn | 82.97 Bn | 2.19 Bn | 2.53 Bn |
| 6 | Agnico Eagle Mines | 93.83 Bn | 83.46 Bn | 2.43 Bn | 2.73 Bn |
| 7 | Barrick Mining | 69.46 Bn | 44.66 Bn | 2.90 Bn | 3.29 Bn |
| 8 | Nucor | 60.57 Bn | 49.95 Bn | 2.03 Bn | 2.01 Bn |
| 9 | ArcelorMittal | 48.54 Bn | 27.57 Bn | - | 1.84 Bn |
| 10 | U.S. GoldMining | 67.47 Mn | 67.47 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | -1.95 Mn |
| Dec 31, 2025 | -2.00 Mn |
| Sep 30, 2025 | -2.80 Mn |
| Jun 30, 2025 | -891,448.00 |
| Mar 31, 2025 | -1.28 Mn |
| Dec 31, 2024 | -1.71 Mn |
| Sep 30, 2024 | -4.39 Mn |
| Jun 30, 2024 | -1.58 Mn |
| Mar 31, 2024 | -1.08 Mn |
| Aug 31, 2023 | -2.62 Mn |
| May 31, 2023 | -2.36 Mn |
| Aug 31, 2022 | -477,966.00 |
| May 31, 2022 | -257,793.00 |
API Access
U.S. GoldMining EBITDA 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=ebitda&ticker=USGO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=USGO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();