GoldMining (GLDG) Total Liabilities (2019 - 2025)
GoldMining's Total Liabilities came in at $5.96 million for fiscal Q4 2025 (quarter ended Nov 30, 2025), up 44.0% from $4.14 million a year earlier.
Analysis
GoldMining (GLDG) Total Liabilities (2019 - 2025) Analysis & Trends
Going back to fiscal Q4 2019, GoldMining's Total Liabilities data covers 14 quarters.
- Total Liabilities carries a five-year compound annual growth rate of 14.6% (FY2020 to FY2025).
- Going back by fiscal year, Total Liabilities was $4.14 million in FY2024 (+26.0%), $3.29 million in FY2023 (-63.5%), $9.01 million in FY2022 (-53.1%) and $19.2 million in FY2021 (+535.9%).
- The fiscal Q4 2025 figure represents the highest quarterly Total Liabilities since fiscal Q4 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 182.38 Bn | 151.41 Bn | - | 61.80 Bn |
| 2 | Southern Copper | 162.86 Bn | 141.64 Bn | 2.90 Bn | 11.42 Bn |
| 3 | Rio Tinto | 141.31 Bn | 101.81 Bn | - | 61.08 Bn |
| 4 | Newmont | 124.15 Bn | 92.15 Bn | 4.03 Bn | 22.23 Bn |
| 5 | Freeport-Mcmoran | 98.79 Bn | 82.83 Bn | 2.19 Bn | 27.51 Bn |
| 6 | Agnico Eagle Mines | 93.50 Bn | 83.13 Bn | 2.43 Bn | 9.19 Bn |
| 7 | Barrick Mining | 69.42 Bn | 44.61 Bn | 2.90 Bn | 25.04 Bn |
| 8 | Nucor | 60.53 Bn | 49.92 Bn | 2.03 Bn | 13.69 Bn |
| 9 | ArcelorMittal | 48.55 Bn | 27.57 Bn | - | 44.33 Bn |
| 10 | GoldMining | 157.39 Mn | 7.22 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Nov 30, 2025 | 5.96 Mn |
| Nov 30, 2024 | 4.14 Mn |
| Nov 30, 2023 | 3.29 Mn |
| Nov 30, 2022 | 9.01 Mn |
| Aug 31, 2022 | 9.28 Mn |
| May 31, 2022 | 12.73 Mn |
| Feb 28, 2022 | 16.27 Mn |
| Nov 30, 2021 | 19.20 Mn |
| Aug 31, 2021 | 8.00 Mn |
| May 31, 2021 | 9.21 Mn |
| Feb 28, 2021 | -65.89 Mn |
| Nov 30, 2020 | 3.02 Mn |
| Aug 31, 2020 | -61.83 Mn |
| Nov 30, 2019 | 1.98 Mn |
API Access
GoldMining Total Liabilities 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=total-liabilities&ticker=GLDG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=GLDG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();