Vesta Real Estate Corporation, S.A.B. de C.V (VTMX) Accumulated Expenses (2021 - 2026)
Vesta Real Estate Corporation, S.A.B. de C.V (VTMX) recorded Accumulated Expenses of $6.4 million in Q3 2026, down 1.5% from $6.5 million a year earlier but up 14.3% from the prior quarter.
Vesta Real Estate Corporation, S.A.B. de C.V (VTMX) Accumulated Expenses (2021 - 2026) Analysis & Trends
At the end of FY2025, Vesta Real Estate Corporation, S.A.B. de C.V reported Accumulated Expenses of $7.28 million, up 9.7% from FY2024.
- Annual Accumulated Expenses has a four-year compound annual growth rate of -16.9% (FY2021 to FY2025).
- Across earlier years, Accumulated Expenses came in at $6.64 million in FY2024 (-6.2%), $7.08 million in FY2023 (+37.3%), $5.15 million in FY2022 (-66.2%) and $15.25 million in FY2021.
- Quarterly Accumulated Expenses has ranged from $4.65 million in Q1 2024 to $15.25 million in Q4 2021 over the past five years.
- On a year-over-year basis, Accumulated Expenses has declined for three consecutive quarters, with growth averaging 2.4% over the last eight quarters.
- Peak year-over-year performance for Accumulated Expenses in the last five years was growth of 37.3% in Q4 2023, against a decline of 66.2% in Q4 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $5.6 million (Q2 2026), $4.7 million (Q1 2026) and $7.28 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Texas Pacific Land | 20.13 Bn | 19.12 Bn | 106.12 Mn |
| 2 | LandBridge | 5.63 Bn | 5.99 Bn | 69.80 Mn |
| 3 | Howard Hughes Holdings | 4.96 Bn | -3.82 Bn | 435.75 Mn |
| 4 | Millrose Properties | 3.99 Bn | 3.81 Bn | - |
| 5 | St Joe | 3.98 Bn | 3.49 Bn | 80.65 Mn |
| 6 | Vesta Real Estate Corporation, S.A.B. de C.V | 3.31 Bn | 2.12 Bn | - |
| 7 | EagleRock Land | 2.77 Bn | 4.07 Bn | 39.50 Mn |
| 8 | Forestar | 1.14 Bn | 1.14 Bn | - |
| 9 | Opendoor Technologies | 1.11 Bn | -2.66 Bn | 38.00 Mn |
| 10 | Five Point Holdings | 664.60 Mn | 682.31 Mn | 7.10 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 6.40 Mn |
| Jun 30, 2026 | 5.60 Mn |
| Mar 31, 2026 | 4.70 Mn |
| Dec 31, 2025 | 7.28 Mn |
| Sep 30, 2025 | 6.50 Mn |
| Jun 30, 2025 | 5.70 Mn |
| Mar 31, 2025 | 4.80 Mn |
| Dec 31, 2024 | 6.64 Mn |
| Sep 30, 2024 | 5.90 Mn |
| Jun 30, 2024 | 5.30 Mn |
| Mar 31, 2024 | 4.65 Mn |
| Dec 31, 2023 | 7.08 Mn |
| Sep 30, 2023 | 5.73 Mn |
| Jun 30, 2023 | 4.65 Mn |
| Dec 31, 2022 | 5.15 Mn |
| Dec 31, 2021 | 15.25 Mn |
Vesta Real Estate Corporation, S.A.B. de C.V Accumulated 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=accumulated-expenses&ticker=VTMX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=VTMX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();