Vesta Real Estate Corporation, S.A.B. de C.V (VTMX) Operating Income (2022 - 2026)
Vesta Real Estate Corporation, S.A.B. de C.V (VTMX) reported Operating Income of $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) Operating Income (2022 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, Vesta Real Estate Corporation, S.A.B. de C.V's Operating Income came in at $284.2 million, up 14.0% year-over-year; for FY2025, it came in at $259.4 million, up 12.1% from FY2024.
- Operating Income has increased for three consecutive years, with a three-year compound annual growth rate of 15.4% (FY2022 to FY2025).
- By year, Operating Income came in at $231.5 million in FY2024 (+15.1%), $201.2 million in FY2023 (+19.3%) and $168.7 million in FY2022.
- The Q3 2026 figure ranks as the highest quarterly Operating Income in data going back to Q2 2022.
- Year over year, Operating Income has now increased in each of the last 14 quarters, with growth averaging 12.3% over the last eight quarters.
- Across the past five years, year-over-year growth in Operating Income ran from 7.1% in Q2 2025 to 19.8% in Q3 2023.
- Per Business Quant data, the three quarters before Q3 2026 came in at $71.5 million (Q2 2026), $70.4 million (Q1 2026) and $69.4 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Op. Inc (Qtr) |
|---|---|---|---|---|---|
| 1 | Texas Pacific Land | 18.94 Bn | 17.93 Bn | 106.12 Mn | 207.78 Mn |
| 2 | LandBridge | 5.09 Bn | 5.45 Bn | 69.80 Mn | 48.25 Mn |
| 3 | Howard Hughes Holdings | 5.05 Bn | -3.72 Bn | 435.75 Mn | 156.97 Mn |
| 4 | St Joe | 4.12 Bn | 3.63 Bn | 80.65 Mn | 61.54 Mn |
| 5 | Millrose Properties | 4.03 Bn | 3.85 Bn | - | 180.45 Mn |
| 6 | Vesta Real Estate Corporation, S.A.B. de C.V | 3.35 Bn | 2.16 Bn | - | 72.90 Mn |
| 7 | EagleRock Land | 2.64 Bn | 4.02 Bn | - | 12.46 Mn |
| 8 | Opendoor Technologies | 1.22 Bn | -2.55 Bn | 38.00 Mn | -187.00 Mn |
| 9 | Forestar | 1.18 Bn | 1.18 Bn | - | - |
| 10 | Five Point Holdings | 649.79 Mn | 667.51 Mn | 7.10 Mn | -12.60 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 72.90 Mn |
| Jun 30, 2026 | 71.50 Mn |
| Mar 31, 2026 | 69.10 Mn |
| Dec 31, 2025 | 69.40 Mn |
| Sep 30, 2025 | 66.10 Mn |
| Jun 30, 2025 | 61.80 Mn |
| Mar 31, 2025 | 61.30 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 |
Vesta Real Estate Corporation, S.A.B. de C.V Operating Income 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=operating-income&ticker=VTMX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-income", "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=operating-income&ticker=VTMX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();