Vesta Real Estate Corporation, S.A.B. de C.V (VTMX) Income before Taxes (2022 - 2026)
Vesta Real Estate Corporation, S.A.B. de C.V's EBT was $104 million in Q3 2026, up 98.5% from $52.4 million a year earlier and up 5.3% from the prior quarter.
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Analysis
Vesta Real Estate Corporation, S.A.B. de C.V (VTMX) Income before Taxes (2022 - 2026) Analysis & Trends
On a trailing twelve-month basis, Vesta Real Estate Corporation, S.A.B. de C.V's EBT was $399.2 million through Sep 30, 2026, up 84.2% year-over-year; for FY2025, it came in at $233.97 million, down 45.1% from FY2024.
- EBT shows a four-year compound annual growth rate of -2.2% (FY2021 to FY2025).
- In earlier years, EBT was $426.16 million in FY2024 (+11.7%), $381.62 million in FY2023 (+30.8%), $291.85 million in FY2022 (+14.0%) and $256.03 million in FY2021.
- The Q3 2026 figure marks the highest quarterly EBT since Q2 2024.
- Compared with a year earlier, EBT has increased for four straight quarters, with growth averaging 33.6% over the last eight quarters.
- The best year-over-year quarter for EBT over five years was Q1 2024 (growth of 249.4%); the worst was Q1 2025 (a decline of 81.0%).
- Per Business Quant data, VTMX's EBT in the three quarters before Q3 2026 was $98.8 million (Q2 2026), $97.9 million (Q1 2026) and $98.5 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Texas Pacific Land | 18.94 Bn | 17.93 Bn | 106.12 Mn |
| 2 | LandBridge | 5.09 Bn | 5.45 Bn | 69.80 Mn |
| 3 | Howard Hughes Holdings | 5.05 Bn | -3.72 Bn | 435.75 Mn |
| 4 | St Joe | 4.12 Bn | 3.63 Bn | 80.65 Mn |
| 5 | Millrose Properties | 4.03 Bn | 3.85 Bn | - |
| 6 | Vesta Real Estate Corporation, S.A.B. de C.V | 3.35 Bn | 2.16 Bn | - |
| 7 | EagleRock Land | 2.64 Bn | 4.02 Bn | - |
| 8 | Opendoor Technologies | 1.22 Bn | -2.55 Bn | 38.00 Mn |
| 9 | Forestar | 1.18 Bn | 1.18 Bn | - |
| 10 | Five Point Holdings | 649.79 Mn | 667.51 Mn | 7.10 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 104.00 Mn |
| Jun 30, 2026 | 98.80 Mn |
| Mar 31, 2026 | 97.90 Mn |
| Dec 31, 2025 | 98.50 Mn |
| Sep 30, 2025 | 52.40 Mn |
| Jun 30, 2025 | 54.50 Mn |
| Mar 31, 2025 | 28.60 Mn |
| Dec 31, 2024 | 81.20 Mn |
| Sep 30, 2024 | 62.70 Mn |
| Jun 30, 2024 | 131.80 Mn |
| Mar 31, 2024 | 150.60 Mn |
| Dec 31, 2023 | 99.80 Mn |
| Sep 30, 2023 | 130.98 Mn |
| Jun 30, 2023 | 107.69 Mn |
| Mar 31, 2023 | 43.10 Mn |
| Dec 31, 2022 | 74.80 Mn |
| Sep 30, 2022 | 88.72 Mn |
| Jun 30, 2022 | 67.29 Mn |
| Mar 31, 2022 | 128.31 Mn |
API Access
Vesta Real Estate Corporation, S.A.B. de C.V Income before Taxes 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=income-before-taxes&ticker=VTMX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "income-before-taxes", "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=income-before-taxes&ticker=VTMX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();