Vesta Real Estate Corporation, S.A.B. de C.V (VTMX) EBITDA (2022 - 2026)
Vesta Real Estate Corporation, S.A.B. de C.V's EBITDA was $76.4 million in Q3 2026, up 12.5% from $67.9 million a year earlier and up 3.4% from the prior quarter.
Vesta Real Estate Corporation, S.A.B. de C.V (VTMX) EBITDA (2022 - 2026) Analysis & Trends
On a trailing twelve-month basis, Vesta Real Estate Corporation, S.A.B. de C.V's EBITDA was $294.85 million through Sep 30, 2026, up 16.2% year-over-year; for FY2025, it came in at $264.25 million, up 12.3% from FY2024.
- EBITDA has now increased for three consecutive years, though with a four-year compound annual growth rate of -4.1% (FY2021 to FY2025).
- In earlier years, EBITDA was $235.24 million in FY2024 (+14.9%), $204.75 million in FY2023 (+19.2%), $171.71 million in FY2022 (-45.1%) and $312.68 million in FY2021.
- The Q3 2026 figure marks the highest quarterly EBITDA since Q1 2022.
- Compared with a year earlier, EBITDA has increased for 14 straight quarters, with growth averaging 13.4% over the last eight quarters.
- The best year-over-year quarter for EBITDA over five years was Q2 2023 (growth of 22.1%); the worst was Q1 2023 (a decline of 62.4%).
- Per Business Quant data, VTMX's EBITDA in the three quarters before Q3 2026 was $73.9 million (Q2 2026), $72 million (Q1 2026) and $72.55 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Texas Pacific Land | 19.20 Bn | 18.19 Bn | - | 230.62 Mn |
| 2 | Howard Hughes Holdings | 5.05 Bn | -3.83 Bn | 435.75 Mn | 203.02 Mn |
| 3 | Millrose Properties | 4.42 Bn | 4.24 Bn | - | - |
| 4 | St Joe | 4.28 Bn | 3.78 Bn | 80.65 Mn | 72.89 Mn |
| 5 | Vesta Real Estate Corporation, S.A.B. de C.V | 3.25 Bn | 2.06 Bn | - | 76.40 Mn |
| 6 | LandBridge | 1.83 Bn | 1.70 Bn | 65.71 Mn | 49.12 Mn |
| 7 | Opendoor Technologies | 1.33 Bn | -2.44 Bn | 38.00 Mn | -179.00 Mn |
| 8 | Forestar | 1.23 Bn | -117.25 Mn | 84.10 Mn | 46.50 Mn |
| 9 | Tejon Ranch | 482.31 Mn | 414.19 Mn | - | 4.50 Mn |
| 10 | Frp Holdings | 377.27 Mn | -71.77 Mn | - | 4.57 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 76.40 Mn |
| Jun 30, 2026 | 73.90 Mn |
| Mar 31, 2026 | 72.00 Mn |
| Dec 31, 2025 | 72.55 Mn |
| Sep 30, 2025 | 67.90 Mn |
| Jun 30, 2025 | 63.00 Mn |
| Mar 31, 2025 | 62.30 Mn |
| Dec 31, 2024 | 60.64 Mn |
| Sep 30, 2024 | 58.63 Mn |
| Jun 30, 2024 | 58.33 Mn |
| Mar 31, 2024 | 58.44 Mn |
| Dec 31, 2023 | 54.20 Mn |
| Sep 30, 2023 | 52.60 Mn |
| Jun 30, 2023 | 49.65 Mn |
| Mar 31, 2023 | 48.54 Mn |
| Dec 31, 2022 | 45.19 Mn |
| Sep 30, 2022 | 43.97 Mn |
| Jun 30, 2022 | 40.65 Mn |
| Mar 31, 2022 | 128.97 Mn |
Vesta Real Estate Corporation, S.A.B. de C.V EBITDA 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=ebitda&ticker=VTMX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=VTMX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();