GoldMining (GLDG) Other Accumulated Expenses (2019 - 2026)
GoldMining (GLDG) posted Other Accumulated Expenses of $19,426 for fiscal Q3 2026 (quarter ended Aug 31, 2026), up 27.2% from $15,273 a year earlier and up 3.1% from the prior quarter.
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Analysis
GoldMining (GLDG) Other Accumulated Expenses (2019 - 2026) Analysis & Trends
At the end of FY2025 (ended Nov 30, 2025), GoldMining's Other Accumulated Expenses came in at $191,074, down 2.3% from FY2024.
- Annual Other Accumulated Expenses shows a five-year compound annual growth rate of 52.6% (FY2020 to FY2025).
- In prior fiscal years, GoldMining's Other Accumulated Expenses was $195,614 in FY2024 (+11.2%), $175,862 in FY2023 (+40.5%), $125,151 in FY2022 (+659.1%) and $16,486 in FY2021 (-28.7%).
- Quarterly Other Accumulated Expenses has run from a low of $14,462 in fiscal Q1 2022 to a high of $195,614 in fiscal Q4 2024 over five years.
- On a year-over-year basis, Other Accumulated Expenses increased in three of the last eight quarters, with an average decline of 0.8%.
- The strongest year-over-year quarter for Other Accumulated Expenses in the past five years was fiscal Q3 2022, with growth of 747.6%; the weakest was fiscal Q1 2022, with a decline of 51.6%.
- According to Business Quant data, Other Accumulated Expenses for the three prior fiscal quarters was $18,847 (Q2 2026), $17,549 (Q1 2026) and $191,074 (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Rio Tinto | 164.02 Bn | 126.82 Bn | - |
| 2 | Southern Copper | 153.49 Bn | 132.28 Bn | 2.90 Bn |
| 3 | Rio Tinto | 135.48 Bn | 95.98 Bn | - |
| 4 | Newmont | 113.96 Bn | 79.11 Bn | 4.22 Bn |
| 5 | Freeport-Mcmoran | 93.70 Bn | 77.74 Bn | 2.19 Bn |
| 6 | Agnico Eagle Mines | 87.17 Bn | 76.80 Bn | 2.43 Bn |
| 7 | Barrick Mining | 65.05 Bn | 40.24 Bn | 2.90 Bn |
| 8 | Nucor | 58.96 Bn | 48.35 Bn | 2.03 Bn |
| 9 | ArcelorMittal | 45.39 Bn | 24.42 Bn | - |
| 10 | GoldMining | 149.69 Mn | -487,049.88 | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 19,425.72 |
| May 31, 2026 | 18,847.41 |
| Feb 28, 2026 | 17,549.25 |
| Nov 30, 2025 | 191,073.71 |
| Aug 31, 2025 | 15,272.95 |
| May 31, 2025 | 22,454.49 |
| Feb 28, 2025 | 15,231.76 |
| Nov 30, 2024 | 195,613.69 |
| Aug 31, 2024 | 18,533.48 |
| May 31, 2024 | 23,386.17 |
| Feb 29, 2024 | 19,149.33 |
| Nov 30, 2023 | 175,862.02 |
| Aug 31, 2023 | 23,641.88 |
| May 31, 2023 | 15,441.52 |
| Feb 28, 2023 | 21,364.37 |
| Nov 30, 2022 | 125,150.92 |
| Aug 31, 2022 | 35,958.59 |
| May 31, 2022 | 29,839.12 |
| Feb 28, 2022 | 14,461.55 |
| Nov 30, 2021 | 16,486.10 |
API Access
GoldMining Other Accumulated Expenses 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=other-accumulated-expenses&ticker=GLDG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "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=other-accumulated-expenses&ticker=GLDG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();