GoldMining (GLDG) Enterprise Value (2019 - 2026)
GoldMining (GLDG) reported Enterprise Value of $192.54 million for the quarter ended May 31, 2026, up 34.2% from $143.45 million a year earlier but down 41.5% from the prior quarter.
GoldMining (GLDG) Enterprise Value (2019 - 2026) Analysis & Trends
Over the twelve months ended May 31, 2026, GoldMining's Enterprise Value came in at $130.25 million, up 8.3% year-over-year; for the year ended Nov 30, 2025, it was $288.89 million, up 77.5% from the prior year.
- Enterprise Value has a five-year compound annual growth rate of -1.4% (years ended Nov 2020 to Nov 2025).
- By year, Enterprise Value came in at $162.76 million in the year ended Nov 30, 2024 (+4.7%), $155.41 million in the year ended Nov 30, 2023 (-28.6%), $217.77 million in the year ended Nov 30, 2022 (+12.5%) and $193.53 million in the year ended Nov 30, 2021 (-37.7%).
- Five-year quarterly Enterprise Value spans a low of $124.78 million in the quarter ended Aug 31, 2023 and a high of $329.12 million in the quarter ended Feb 28, 2026.
- Year over year, Enterprise Value has now increased in each of the last four quarters, with growth averaging 34.9% over the last eight quarters.
- The high point for year-over-year Enterprise Value in five years was the quarter ended Feb 28, 2026 (growth of 117.8%); the low point was the quarter ended Aug 31, 2021 (a decline of 49.0%).
- Per Business Quant data, the three quarters before the quarter ended May 31, 2026 came in at $329.12 million (quarter ended Feb 28, 2026), $288.82 million (quarter ended Nov 30, 2025) and $177.93 million (quarter ended Aug 31, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Rio Tinto | 182.38 Bn | 151.41 Bn | - |
| 2 | Southern Copper | 167.30 Bn | 146.09 Bn | 2.90 Bn |
| 3 | Rio Tinto | 143.04 Bn | 103.54 Bn | - |
| 4 | Newmont | 124.35 Bn | 92.35 Bn | 4.03 Bn |
| 5 | Freeport-Mcmoran | 99.09 Bn | 83.13 Bn | 2.19 Bn |
| 6 | Agnico Eagle Mines | 93.47 Bn | 83.11 Bn | 2.43 Bn |
| 7 | Barrick Mining | 69.01 Bn | 44.20 Bn | 2.90 Bn |
| 8 | Nucor | 59.68 Bn | 49.06 Bn | 2.03 Bn |
| 9 | ArcelorMittal | 48.25 Bn | 27.28 Bn | - |
| 10 | GoldMining | 159.24 Mn | 9.07 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 198.52 Mn |
| May 31, 2026 | 192.81 Mn |
| Feb 28, 2026 | 328.91 Mn |
| Nov 30, 2025 | 288.87 Mn |
| Aug 31, 2025 | 177.94 Mn |
| May 31, 2025 | 143.38 Mn |
| Feb 28, 2025 | 151.19 Mn |
| Nov 30, 2024 | 162.88 Mn |
| Aug 31, 2024 | 147.59 Mn |
| May 31, 2024 | 153.06 Mn |
| Feb 29, 2024 | 134.13 Mn |
| Nov 30, 2023 | 155.49 Mn |
| Aug 31, 2023 | 124.97 Mn |
| May 31, 2023 | 154.16 Mn |
| Feb 28, 2023 | 169.50 Mn |
| Nov 30, 2022 | 218.08 Mn |
| Aug 31, 2022 | 130.65 Mn |
| May 31, 2022 | 173.36 Mn |
| Feb 28, 2022 | 261.75 Mn |
| Nov 30, 2021 | 184.62 Mn |
GoldMining 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=GLDG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "ticker": "GLDG", "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=GLDG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();