Vesta Real Estate Corporation, S.A.B. de C.V (VTMX) Depreciation and Depletion (2022 - 2026)
Vesta Real Estate Corporation, S.A.B. de C.V (VTMX) posted Depreciation and Depletion of $900,000 for Q3 2026, up 28.6% from $700,000 a year earlier and up 50.0% from the prior quarter.
Vesta Real Estate Corporation, S.A.B. de C.V (VTMX) Depreciation and Depletion (2022 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Depreciation and Depletion at Vesta Real Estate Corporation, S.A.B. de C.V was $3.42 million, up 48.7% year-over-year; for FY2025, it was $1.72 million, up 21.8% from FY2024.
- Annual Depreciation and Depletion shows a four-year compound annual growth rate of 1.9% (FY2021 to FY2025).
- In prior years, Vesta Real Estate Corporation, S.A.B. de C.V's Depreciation and Depletion was $1.42 million in FY2024 (-10.3%), $1.58 million in FY2023 (+7.8%), $1.46 million in FY2022 (-8.6%) and $1.6 million in FY2021.
- Quarterly Depreciation and Depletion has run from a low of -$4,893 in Q2 2022 to a high of $1.42 million in Q4 2025 over five years.
- On a year-over-year basis, Depreciation and Depletion increased in six of the last eight quarters, with growth averaging 63.2%.
- The strongest year-over-year quarter for Depreciation and Depletion in the past five years was Q3 2024, with growth of 319.9%; the weakest was Q1 2023, with a decline of 66.4%.
- According to Business Quant data, Depreciation and Depletion for the three prior quarters was $600,000 (Q2 2026), $500,000 (Q1 2026) and $1.42 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Texas Pacific Land | 23.35 Bn | 22.18 Bn | - | 11.10 Mn |
| 2 | LandBridge | 6.08 Bn | 6.42 Bn | - | - |
| 3 | St Joe | 3.85 Bn | 3.35 Bn | 73.42 Mn | - |
| 4 | ETF Managers Trust | 3.80 Bn | -3.56 Bn | - | - |
| 5 | Millrose Properties | 3.68 Bn | 3.32 Bn | - | - |
| 6 | Vesta Real Estate Corporation, S.A.B. de C.V | 3.22 Bn | 2.03 Bn | - | 900,000.00 |
| 7 | Opendoor Technologies | 1.92 Bn | -1.90 Bn | 86.00 Mn | - |
| 8 | Forestar | 1.33 Bn | -20.06 Mn | 84.10 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 900,000.00 |
| Jun 30, 2026 | 600,000.00 |
| Mar 31, 2026 | 500,000.00 |
| Dec 31, 2025 | 1.42 Mn |
| Sep 30, 2025 | 700,000.00 |
| Jun 30, 2025 | 500,000.00 |
| Mar 31, 2025 | 600,000.00 |
| Dec 31, 2024 | 500,000.00 |
| Sep 30, 2024 | 500,000.00 |
| Jun 30, 2024 | 300,000.00 |
| Mar 31, 2024 | 200,000.00 |
| Dec 31, 2023 | 600,000.00 |
| Sep 30, 2023 | 119,088.00 |
| Jun 30, 2023 | 500,000.00 |
| Mar 31, 2023 | 222,001.00 |
| Dec 31, 2022 | 514,690.00 |
| Sep 30, 2022 | 294,123.00 |
| Jun 30, 2022 | -4,893.00 |
| Mar 31, 2022 | 660,000.00 |
Vesta Real Estate Corporation, S.A.B. de C.V 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=VTMX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "ticker": "VTMX", "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=VTMX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();