Vesta Real Estate Corporation, S.A.B. de C.V (VTMX) Change in Property, Plant and Equipment (2022 - 2026)
Vesta Real Estate Corporation, S.A.B. de C.V (VTMX) posted Change in Property, Plant and Equipment of $161.9 million for Q3 2026, down 30.2% from $232 million a year earlier but up 78.1% from the prior quarter.
Vesta Real Estate Corporation, S.A.B. de C.V (VTMX) Change in Property, Plant and Equipment (2022 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Change in Property, Plant and Equipment at Vesta Real Estate Corporation, S.A.B. de C.V was -$523.17 million; for FY2025, it came in at -$332.27 million.
- In prior years, Vesta Real Estate Corporation, S.A.B. de C.V's Change in Property, Plant and Equipment was -$226.67 million in FY2024, -$223.07 million in FY2023, -$262.16 million in FY2022 and $15.95 million in FY2021.
- Quarterly Change in Property, Plant and Equipment has run from a low of -$791.47 million in Q4 2025 to a high of $232 million in Q3 2025 over five years.
- On a year-over-year basis, Change in Property, Plant and Equipment has declined in each of the last three quarters, with growth averaging 7.9% over the last six quarters.
- The strongest year-over-year quarter for Change in Property, Plant and Equipment in the past five years was Q1 2025, with growth of 70.8%; the weakest was Q1 2026, with a decline of 73.4%.
- According to Business Quant data, Change in Property, Plant and Equipment for the three prior quarters was $90.9 million (Q2 2026), $15.5 million (Q1 2026) and -$791.47 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change in PP&E (Qtr) |
|---|---|---|---|---|---|
| 1 | Texas Pacific Land | 23.35 Bn | 22.18 Bn | - | -132.02 Mn |
| 2 | LandBridge | 6.08 Bn | 6.42 Bn | - | - |
| 3 | St Joe | 3.85 Bn | 3.35 Bn | 73.42 Mn | -8.45 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 | - | 161.90 Mn |
| 7 | Opendoor Technologies | 1.92 Bn | -1.90 Bn | 86.00 Mn | -5.00 Mn |
| 8 | Forestar | 1.33 Bn | -20.06 Mn | 84.10 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 161.90 Mn |
| Jun 30, 2026 | 90.90 Mn |
| Mar 31, 2026 | 15.50 Mn |
| Dec 31, 2025 | -791.47 Mn |
| Sep 30, 2025 | 232.00 Mn |
| Jun 30, 2025 | 169.00 Mn |
| Mar 31, 2025 | 58.20 Mn |
| Dec 31, 2024 | -399.94 Mn |
| Sep 30, 2024 | 144.00 Mn |
| Jun 30, 2024 | 102.10 Mn |
| Mar 31, 2024 | 34.08 Mn |
| Dec 31, 2023 | -418.74 Mn |
| Sep 30, 2023 | 195.70 Mn |
| Jun 30, 2023 | 89.20 Mn |
| Mar 31, 2023 | 54.20 Mn |
| Dec 31, 2022 | -459.57 Mn |
| Sep 30, 2022 | 182.64 Mn |
| Jun 30, 2022 | -2,150.00 |
| Mar 31, 2022 | 123.78 Mn |
Vesta Real Estate Corporation, S.A.B. de C.V Change in Property, Plant and Equipment 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=change-in-property-plant-and-equipment&ticker=VTMX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-property-plant-and-equipment", "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=change-in-property-plant-and-equipment&ticker=VTMX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();