Vesta Real Estate Corporation, S.A.B. de C.V (VTMX) Other Operating Expenses (2022 - 2026)
Vesta Real Estate Corporation, S.A.B. de C.V (VTMX) reported Other Operating Expenses of -$2.5 million for Q1 2026, compared with -$1.7 million a year earlier.
Vesta Real Estate Corporation, S.A.B. de C.V (VTMX) Other Operating Expenses (2022 - 2026) Analysis & Trends
Over the twelve months ended Mar 31, 2026, Vesta Real Estate Corporation, S.A.B. de C.V's Other Operating Expenses came in at -$4.43 million.
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
| Date | Value |
|---|---|
| Sep 30, 2026 | 68.70 Mn |
| Jun 30, 2026 | 58.30 Mn |
| Mar 31, 2026 | -46.00 Mn |
| Dec 31, 2025 | 63.80 Mn |
| Sep 30, 2025 | 25.30 Mn |
| Jun 30, 2025 | 26.20 Mn |
| Mar 31, 2025 | 31.50 Mn |
| Dec 31, 2024 | 46.80 Mn |
| Sep 30, 2024 | 30.50 Mn |
| Jun 30, 2024 | 106.30 Mn |
| Mar 31, 2024 | 111.43 Mn |
| Dec 31, 2023 | 68.70 Mn |
| Sep 30, 2023 | -92.27 Mn |
| Jun 30, 2023 | -72.57 Mn |
| Mar 31, 2023 | 24.91 Mn |
| Dec 31, 2022 | -185,500.14 Bn |
| Sep 30, 2022 | 59.98 Mn |
| Jun 30, 2022 | -80.26 Mn |
Vesta Real Estate Corporation, S.A.B. de C.V Other Operating Expenses 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=other-operating-expenses&ticker=VTMX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "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=other-operating-expenses&ticker=VTMX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();