GoldMining (GLDG) Property, Plant & Equipment (Net) (2019 - 2026)
GoldMining's Property, Plant & Equipment (Net) was $2.41 million in fiscal Q3 2026 (quarter ended Aug 31, 2026), up 11.0% from $2.18 million a year earlier and up 1.6% from the prior quarter.
GoldMining (GLDG) Property, Plant & Equipment (Net) (2019 - 2026) Analysis & Trends
At the end of FY2025 (ended Nov 30, 2025), Property, Plant & Equipment (Net) at GoldMining came in at $2.11 million, down 10.6% from FY2024.
- Property, Plant & Equipment (Net) shows a five-year compound annual growth rate of 8.8% (FY2020 to FY2025).
- In earlier fiscal years, Property, Plant & Equipment (Net) was $2.36 million in FY2024 (-1.0%), $2.38 million in FY2023 (+77.0%), $1.34 million in FY2022 (-4.3%) and $1.41 million in FY2021 (+1.9%).
- The fiscal Q3 2026 figure marks the highest quarterly Property, Plant & Equipment (Net) since fiscal Q3 2024.
- Compared with a year earlier, Property, Plant & Equipment (Net) was higher in two of the last eight quarters, with an average decline of 2.0%.
- The best year-over-year quarter for Property, Plant & Equipment (Net) over five years was fiscal Q4 2023 (growth of 77.0%); the worst was fiscal Q1 2023 (a decline of 13.9%).
- Per Business Quant data, GLDG's Property, Plant & Equipment (Net) in the three fiscal quarters before Q3 2026 was $2.38 million (Q2 2026), $2.26 million (Q1 2026) and $2.11 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 164.02 Bn | 133.06 Bn | - | 88.03 Bn |
| 2 | Southern Copper | 154.30 Bn | 133.16 Bn | 2.90 Bn | 10.66 Bn |
| 3 | Rio Tinto | 135.37 Bn | 95.87 Bn | - | 84.31 Bn |
| 4 | Newmont | 113.13 Bn | 78.45 Bn | 4.22 Bn | 33.87 Bn |
| 5 | Freeport-Mcmoran | 93.66 Bn | 89.81 Bn | 2.19 Bn | 41.71 Bn |
| 6 | Agnico Eagle Mines | 86.95 Bn | 76.58 Bn | 2.43 Bn | 25.74 Bn |
| 7 | Barrick Mining | 63.88 Bn | 48.62 Bn | 2.90 Bn | 30.47 Bn |
| 8 | Nucor | 58.56 Bn | 49.10 Bn | 2.03 Bn | 15.86 Bn |
| 9 | ArcelorMittal | 45.28 Bn | 26.31 Bn | - | 41.40 Bn |
| 10 | GoldMining | 160.32 Mn | 11.57 Mn | - | 2.41 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 2.41 Mn |
| May 31, 2026 | 2.38 Mn |
| Feb 28, 2026 | 2.26 Mn |
| Nov 30, 2025 | 2.11 Mn |
| Aug 31, 2025 | 2.18 Mn |
| May 31, 2025 | 2.23 Mn |
| Feb 28, 2025 | 2.29 Mn |
| Nov 30, 2024 | 2.36 Mn |
| Aug 31, 2024 | 2.43 Mn |
| May 31, 2024 | 2.43 Mn |
| Feb 29, 2024 | 2.33 Mn |
| Nov 30, 2023 | 2.38 Mn |
| Aug 31, 2023 | 2.41 Mn |
| May 31, 2023 | 1.46 Mn |
| Feb 28, 2023 | 1.33 Mn |
| Nov 30, 2022 | 1.34 Mn |
| Aug 31, 2022 | 1.45 Mn |
| May 31, 2022 | 1.50 Mn |
| Feb 28, 2022 | 1.55 Mn |
| Nov 30, 2021 | 1.41 Mn |
GoldMining Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=GLDG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=GLDG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();