GoldMining (GLDG) Depreciation & Amortization (CF) (2019 - 2026)
GoldMining (GLDG) recorded Depreciation & Amortization (CF) of $81,319 in fiscal Q3 2026 (quarter ended Aug 31, 2026), up 31.2% from $61,969 a year earlier and up 18.8% from the prior quarter.
GoldMining (GLDG) Depreciation & Amortization (CF) (2019 - 2026) Analysis & Trends
On a TTM basis, GoldMining's Depreciation & Amortization (CF) came in at $276,134 as of Aug 31, 2026, up 11.7% year-over-year; for FY2025 (ended Nov 30, 2025), it was $247,010, up 1.7% from FY2024.
- Annual Depreciation & Amortization (CF) has a five-year compound annual growth rate of 3.8% (FY2020 to FY2025).
- Across earlier fiscal years, Depreciation & Amortization (CF) came in at $242,940 in FY2024 (+62.4%), $149,566 in FY2023 (-7.9%), $162,331 in FY2022 (+9.4%) and $148,389 in FY2021 (-27.6%).
- The fiscal Q3 2026 figure is the highest quarterly Depreciation & Amortization (CF) in data going back to fiscal Q3 2019.
- On a year-over-year basis, Depreciation & Amortization (CF) has increased for three consecutive quarters, with growth averaging 9.8% over the last eight quarters.
- Peak year-over-year performance for Depreciation & Amortization (CF) in the last five years was growth of 116.9% in fiscal Q2 2024, against a decline of 31.9% in fiscal Q2 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $68,457 (Q2 2026), $64,716 (Q1 2026) and $61,642 (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 182.38 Bn | 151.41 Bn | - | - |
| 2 | Southern Copper | 153.11 Bn | 131.97 Bn | 2.90 Bn | 226.00 Mn |
| 3 | Rio Tinto | 136.52 Bn | 97.02 Bn | - | - |
| 4 | Newmont | 118.43 Bn | 83.75 Bn | 4.22 Bn | 632.00 Mn |
| 5 | Freeport-Mcmoran | 92.71 Bn | 88.86 Bn | 2.19 Bn | 523.00 Mn |
| 6 | Agnico Eagle Mines | 88.05 Bn | 77.68 Bn | 2.43 Bn | 423.26 Mn |
| 7 | Barrick Mining | 64.72 Bn | 49.46 Bn | 2.90 Bn | 555.00 Mn |
| 8 | Nucor | 58.54 Bn | 49.08 Bn | 2.03 Bn | 320.00 Mn |
| 9 | ArcelorMittal | 45.80 Bn | 26.83 Bn | - | 780.00 Mn |
| 10 | GoldMining | 158.18 Mn | 9.43 Mn | - | 81,318.52 |
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 81,318.52 |
| May 31, 2026 | 68,457.24 |
| Feb 28, 2026 | 64,716.03 |
| Nov 30, 2025 | 61,642.22 |
| Aug 31, 2025 | 61,969.45 |
| May 31, 2025 | 61,801.78 |
| Feb 28, 2025 | 61,533.50 |
| Nov 30, 2024 | 61,849.30 |
| Aug 31, 2024 | 61,347.08 |
| May 31, 2024 | 62,387.16 |
| Feb 29, 2024 | 57,280.46 |
| Nov 30, 2023 | 49,819.25 |
| Aug 31, 2023 | 38,248.41 |
| May 31, 2023 | 28,757.02 |
| Feb 28, 2023 | 32,631.82 |
| Nov 30, 2022 | 39,371.85 |
| Aug 31, 2022 | 40,941.14 |
| May 31, 2022 | 42,234.86 |
| Feb 28, 2022 | 40,106.37 |
| Nov 30, 2021 | 38,563.67 |
GoldMining Depreciation & Amortization (CF) 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=depreciation-and-amortization-cf&ticker=GLDG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "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=depreciation-and-amortization-cf&ticker=GLDG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();