Vesta Real Estate Corporation, S.A.B. de C.V (VTMX) Pension (2022 - 2025)
Vesta Real Estate Corporation, S.A.B. de C.V's Pension was $3.66 million in Q4 2025, up 63.5% from $2.24 million a year earlier.
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Analysis
Vesta Real Estate Corporation, S.A.B. de C.V (VTMX) Pension (2022 - 2025) Analysis & Trends
From Q4 2022 onward, Vesta Real Estate Corporation, S.A.B. de C.V has reported Pension for 9 quarters.
- Pension has now increased for three consecutive years, with a three-year compound annual growth rate of 119.1% (FY2022 to FY2025).
- In earlier years, Pension was $2.24 million in FY2024 (+47.4%), $1.52 million in FY2023 (+336.4%) and $348,280 in FY2022.
- The Q4 2025 figure marks the highest quarterly Pension in data going back to Q4 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Texas Pacific Land | 19.00 Bn | 17.99 Bn | - |
| 2 | Howard Hughes Holdings | 5.08 Bn | -3.80 Bn | 435.75 Mn |
| 3 | Millrose Properties | 4.44 Bn | 4.26 Bn | - |
| 4 | St Joe | 4.25 Bn | 3.75 Bn | 80.65 Mn |
| 5 | Vesta Real Estate Corporation, S.A.B. de C.V | 3.25 Bn | 2.07 Bn | - |
| 6 | LandBridge | 1.84 Bn | 1.71 Bn | 65.71 Mn |
| 7 | Opendoor Technologies | 1.29 Bn | -2.48 Bn | 38.00 Mn |
| 8 | Forestar | 1.24 Bn | -107.79 Mn | 84.10 Mn |
| 9 | Tejon Ranch | 474.28 Mn | 406.15 Mn | - |
| 10 | Frp Holdings | 376.42 Mn | -72.63 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 3.66 Mn |
| Dec 31, 2024 | 2.24 Mn |
| Sep 30, 2024 | 2.06 Mn |
| Jun 30, 2024 | 1.93 Mn |
| Mar 31, 2024 | 1.84 Mn |
| Dec 31, 2023 | 1.52 Mn |
| Sep 30, 2023 | 1.31 Mn |
| Jun 30, 2023 | 1.15 Mn |
| Dec 31, 2022 | 348,280.00 |
API Access
Vesta Real Estate Corporation, S.A.B. de C.V Pension 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=pension&ticker=VTMX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "pension", "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=pension&ticker=VTMX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();