Verde Resources (VRDR) Depreciation and Depletion (2014 - 2026)
Verde Resources (VRDR) posted Depreciation and Depletion of $58,365 for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 6.9% from $54,593 a year earlier but down 1.0% from the prior quarter.
Verde Resources (VRDR) Depreciation and Depletion (2014 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Verde Resources' Depreciation and Depletion came in at $228,976, down 8.0% from FY2025.
- Annual Depreciation and Depletion shows a five-year compound annual growth rate of 322.5% (FY2021 to FY2026).
- In prior fiscal years, Verde Resources' Depreciation and Depletion was $248,940 in FY2025 (-40.4%), $417,517 in FY2024 (+63.8%), $254,852 in FY2023 (+928.0%) and $24,792 in FY2022.
- Quarterly Depreciation and Depletion has run from a low of $1,086 in fiscal Q1 2022 to a high of $105,461 in fiscal Q4 2024 over five years.
- On a year-over-year basis, Depreciation and Depletion increased in two of the last eight quarters, with an average decline of 23.5%.
- The strongest year-over-year quarter for Depreciation and Depletion in the past five years was fiscal Q4 2023, with growth of 419.9%; the weakest was fiscal Q4 2025, with a decline of 48.2%.
- According to Business Quant data, Depreciation and Depletion for the three prior fiscal quarters was $58,935 (Q3 2026), $56,517 (Q2 2026) and $55,159 (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 101.70 Bn | 99.89 Bn | 1.55 Bn | 117.14 Mn |
| 2 | Ferrovial | 38.65 Bn | 19.25 Bn | - | - |
| 3 | Emcor | 34.80 Bn | 31.19 Bn | 1.02 Bn | 19.39 Mn |
| 4 | Mastec | 17.34 Bn | 16.24 Bn | 556.28 Mn | 86.10 Mn |
| 5 | Sterling Infrastructure | 16.37 Bn | 14.73 Bn | 289.96 Mn | 17.50 Mn |
| 6 | Jacobs Solutions | 16.17 Bn | 10.82 Bn | 810.70 Mn | - |
| 7 | IES Holdings | 13.52 Bn | 12.39 Bn | 340.66 Mn | - |
| 8 | Dycom Industries | 8.20 Bn | 7.33 Bn | - | - |
| 9 | Stantec | 7.70 Bn | 7.70 Bn | - | - |
| 10 | Verde Resources | 26.09 Mn | 18.97 Mn | 21.00 | 58,365.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 58,365.00 |
| Mar 31, 2026 | 58,935.00 |
| Dec 31, 2025 | 56,517.00 |
| Sep 30, 2025 | 55,159.00 |
| Jun 30, 2025 | 54,593.00 |
| Mar 31, 2025 | 56,972.00 |
| Dec 31, 2024 | 67,145.00 |
| Sep 30, 2024 | 70,230.00 |
| Jun 30, 2024 | 105,461.00 |
| Mar 31, 2024 | 104,358.00 |
| Dec 31, 2023 | 104,988.00 |
| Sep 30, 2023 | 102,598.00 |
| Jun 30, 2023 | 77,778.00 |
| Mar 31, 2023 | 97,167.00 |
| Dec 31, 2022 | 51,955.00 |
| Sep 30, 2022 | 27,952.00 |
| Jun 30, 2022 | 14,961.00 |
| Mar 31, 2022 | 4,611.00 |
| Dec 31, 2021 | 4,134.00 |
| Sep 30, 2021 | 1,086.00 |
Verde Resources Depreciation and Depletion 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-depletion&ticker=VRDR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "ticker": "VRDR", "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-depletion&ticker=VRDR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();