Vesta Real Estate Corporation, S.A.B. de C.V (VTMX) EBIT (2022 - 2026)
Vesta Real Estate Corporation, S.A.B. de C.V's EBIT came in at $72.9 million for Q3 2026, up 10.3% from $66.1 million a year earlier and up 2.0% from the prior quarter.
Vesta Real Estate Corporation, S.A.B. de C.V (VTMX) EBIT (2022 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Vesta Real Estate Corporation, S.A.B. de C.V reported EBIT of $284.2 million, up 14.0% year-over-year; for FY2025, it came in at $259.4 million, up 12.1% from FY2024.
- EBIT has increased in each of the last three years, though with a four-year compound annual growth rate of -4.1% (FY2021 to FY2025).
- Going back by year, EBIT was $231.5 million in FY2024 (+15.1%), $201.2 million in FY2023 (+19.3%), $168.7 million in FY2022 (-44.9%) and $306.3 million in FY2021.
- The Q3 2026 figure represents the highest quarterly EBIT since Q1 2022.
- Year-over-year, EBIT has increased for 14 consecutive quarters, with growth averaging 12.3% over the last eight quarters.
- The fastest year-over-year change in EBIT over five years came in Q3 2023 (growth of 19.8%), and the weakest in Q1 2023 (a decline of 62.7%).
- Business Quant data shows VTMX's EBIT at $71.5 million (Q2 2026), $70.4 million (Q1 2026) and $69.4 million (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Texas Pacific Land | 19.50 Bn | 18.48 Bn | - | 207.78 Mn |
| 2 | Howard Hughes Holdings | 5.01 Bn | -3.87 Bn | 435.75 Mn | 156.97 Mn |
| 3 | Millrose Properties | 4.37 Bn | 4.19 Bn | - | 180.45 Mn |
| 4 | St Joe | 4.19 Bn | 3.69 Bn | 80.65 Mn | 61.54 Mn |
| 5 | Vesta Real Estate Corporation, S.A.B. de C.V | 3.25 Bn | 2.09 Bn | - | - |
| 6 | LandBridge | 1.85 Bn | 1.72 Bn | 65.71 Mn | 44.16 Mn |
| 7 | Opendoor Technologies | 1.32 Bn | -2.44 Bn | 38.00 Mn | -187.00 Mn |
| 8 | Forestar | 1.21 Bn | -136.16 Mn | 84.10 Mn | 45.80 Mn |
| 9 | EagleRock Land | 553.94 Mn | 478.01 Mn | 35.42 Mn | -53.16 Mn |
| 10 | Tejon Ranch | 477.18 Mn | 409.05 Mn | - | 2.37 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 72.90 Mn |
| Jun 30, 2026 | 71.50 Mn |
| Mar 31, 2026 | 70.40 Mn |
| Dec 31, 2025 | 69.40 Mn |
| Sep 30, 2025 | 66.10 Mn |
| Jun 30, 2025 | 61.80 Mn |
| Mar 31, 2025 | 62.10 Mn |
| Dec 31, 2024 | 59.30 Mn |
| Sep 30, 2024 | 57.60 Mn |
| Jun 30, 2024 | 57.70 Mn |
| Mar 31, 2024 | 57.20 Mn |
| Dec 31, 2023 | 53.00 Mn |
| Sep 30, 2023 | 51.70 Mn |
| Jun 30, 2023 | 48.30 Mn |
| Mar 31, 2023 | 47.80 Mn |
| Dec 31, 2022 | 44.30 Mn |
| Sep 30, 2022 | 43.17 Mn |
| Jun 30, 2022 | 40.65 Mn |
| Mar 31, 2022 | 128.31 Mn |
Vesta Real Estate Corporation, S.A.B. de C.V EBIT 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=ebit&ticker=VTMX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=VTMX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();