Vesta Real Estate Corporation, S.A.B. de C.V (VTMX) Property, Plant & Equipment (Net) (2022 - 2026)
Vesta Real Estate Corporation, S.A.B. de C.V (VTMX) posted Property, Plant & Equipment (Net) of $2.4 million for Q3 2026, up 9.1% from $2.2 million a year earlier and unchanged from the prior quarter.
Vesta Real Estate Corporation, S.A.B. de C.V (VTMX) Property, Plant & Equipment (Net) (2022 - 2026) Analysis & Trends
At the end of FY2025, Vesta Real Estate Corporation, S.A.B. de C.V's Property, Plant & Equipment (Net) came in at $2.3 million, down 4.2% from FY2024.
- Annual Property, Plant & Equipment (Net) shows a three-year compound annual growth rate of 18.0% (FY2022 to FY2025).
- In prior years, Vesta Real Estate Corporation, S.A.B. de C.V's Property, Plant & Equipment (Net) was $2.4 million in FY2024 (-4.0%), $2.5 million in FY2023 (+78.6%) and $1.4 million in FY2022.
- Quarterly Property, Plant & Equipment (Net) has run from a low of $1.06 million in Q3 2023 to a high of $2.7 million in Q1 2025 over five years.
- On a year-over-year basis, Property, Plant & Equipment (Net) increased in four of the last eight quarters, with growth averaging 1.1%.
- The strongest year-over-year quarter for Property, Plant & Equipment (Net) in the past five years was Q3 2024, with growth of 98.1%; the weakest was Q1 2026, with a decline of 18.5%.
- According to Business Quant data, Property, Plant & Equipment (Net) for the three prior quarters was $2.4 million (Q2 2026), $2.2 million (Q1 2026) and $2.3 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Texas Pacific Land | 23.35 Bn | 22.18 Bn | - | 182.88 Mn |
| 2 | LandBridge | 6.08 Bn | 6.42 Bn | - | - |
| 3 | St Joe | 3.85 Bn | 3.35 Bn | 73.42 Mn | 35.98 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 | - | 2.40 Mn |
| 7 | Opendoor Technologies | 1.92 Bn | -1.90 Bn | 86.00 Mn | 24.00 Mn |
| 8 | Forestar | 1.33 Bn | -20.06 Mn | 84.10 Mn | 7.30 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 2.40 Mn |
| Jun 30, 2026 | 2.40 Mn |
| Mar 31, 2026 | 2.20 Mn |
| Dec 31, 2025 | 2.30 Mn |
| Sep 30, 2025 | 2.20 Mn |
| Jun 30, 2025 | 2.40 Mn |
| Mar 31, 2025 | 2.70 Mn |
| Dec 31, 2024 | 2.40 Mn |
| Sep 30, 2024 | 2.10 Mn |
| Jun 30, 2024 | 2.20 Mn |
| Mar 31, 2024 | 2.40 Mn |
| Dec 31, 2023 | 2.50 Mn |
| Sep 30, 2023 | 1.06 Mn |
| Jun 30, 2023 | 1.18 Mn |
| Dec 31, 2022 | 1.40 Mn |
Vesta Real Estate Corporation, S.A.B. de C.V Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=VTMX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=VTMX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();