Vesta Real Estate Corporation, S.A.B. de C.V (VTMX) Enterprise Value (2023 - 2026)
Vesta Real Estate Corporation, S.A.B. de C.V (VTMX) reported Enterprise Value of $2.63 billion for the quarter ended Jun 30, 2026, up 17.6% from $2.24 billion a year earlier but down 4.1% from the prior quarter.
Vesta Real Estate Corporation, S.A.B. de C.V (VTMX) Enterprise Value (2023 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Vesta Real Estate Corporation, S.A.B. de C.V's Enterprise Value came in at $1.5 billion, up 9.8% year-over-year; for the year ended Dec 31, 2025, it was $2.36 billion, up 13.4% from the prior year.
- By year, Enterprise Value came in at $2.08 billion in the year ended Dec 31, 2024 (-30.7%) and $3 billion in the year ended Dec 31, 2023.
- Five-year quarterly Enterprise Value spans a low of $1.83 billion in the quarter ended Sep 30, 2023 and a high of $3 billion in the quarter ended Dec 31, 2023.
- Year over year, Enterprise Value has now increased in each of the last five quarters, with growth averaging 2.6% over the last eight quarters.
- The high point for year-over-year Enterprise Value in five years was the quarter ended Mar 31, 2026 (growth of 49.7%); the low point was the quarter ended Mar 31, 2025 (a decline of 38.3%).
- Per Business Quant data, the three quarters before the quarter ended Jun 30, 2026 came in at $2.74 billion (quarter ended Mar 31, 2026), $2.36 billion (quarter ended Dec 31, 2025) and $1.92 billion (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Texas Pacific Land | 23.31 Bn | 22.14 Bn | - |
| 2 | Eason Technology | 6.61 Bn | 6.61 Bn | - |
| 3 | LandBridge | 6.20 Bn | 6.54 Bn | 65.71 Mn |
| 4 | Millrose Properties | 4.06 Bn | 4.06 Bn | - |
| 5 | St Joe | 3.76 Bn | 3.26 Bn | 73.42 Mn |
| 6 | Vesta Real Estate Corporation, S.A.B. de C.V | 2.89 Bn | 2.89 Bn | - |
| 7 | Opendoor Technologies | 2.35 Bn | -1.47 Bn | 86.00 Mn |
| 8 | Forestar | 1.34 Bn | -3.23 Mn | 84.10 Mn |
| 9 | Five Point Holdings | 705.60 Mn | 734.37 Mn | -23.72 Mn |
| 10 | Tejon Ranch | 443.42 Mn | 378.40 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.63 Bn |
| Mar 31, 2026 | 2.74 Bn |
| Dec 31, 2025 | 2.36 Bn |
| Sep 30, 2025 | 1.92 Bn |
| Jun 30, 2025 | 2.24 Bn |
| Mar 31, 2025 | 1.83 Bn |
| Dec 31, 2024 | 2.08 Bn |
| Sep 30, 2024 | 1.88 Bn |
| Jun 30, 2024 | 2.15 Bn |
| Mar 31, 2024 | 2.97 Bn |
| Dec 31, 2023 | 3.00 Bn |
| Sep 30, 2023 | 1.83 Bn |
| Jun 30, 2023 | 2.05 Bn |
Vesta Real Estate Corporation, S.A.B. de C.V Enterprise Value 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=enterprise-value&ticker=VTMX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=VTMX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();