Vesta Real Estate Corporation, S.A.B. de C.V (VTMX) Interest Expense (in Operating Expenses) (2023 - 2025)
Vesta Real Estate Corporation, S.A.B. de C.V (VTMX) recorded Interest Expense (in Operating Expenses) of $56.23 million in FY2025, up 27.0% from $44.26 million in FY2024.
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Analysis
Vesta Real Estate Corporation, S.A.B. de C.V (VTMX) Interest Expense (in Operating Expenses) (2023 - 2025) Analysis & Trends
Starting with FY2021, Vesta Real Estate Corporation, S.A.B. de C.V's Interest Expense (in Operating Expenses) history includes 5 years.
- Annual Interest Expense (in Operating Expenses) has a four-year compound annual growth rate of 2.8% (FY2021 to FY2025).
- The FY2025 figure is the highest annual Interest Expense (in Operating Expenses) in data going back to FY2021.
- Per Business Quant data, VTMX's Interest Expense (in Operating Expenses) was $44.26 million in FY2024 (-4.4%), $46.31 million in FY2023 (-0.2%), $46.4 million in FY2022 (-7.7%) and $50.26 million in FY2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Interest Expense (Op.) (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
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | -12.30 Mn |
| Jun 30, 2025 | -11.90 Mn |
| Mar 31, 2025 | -10.30 Mn |
| Mar 31, 2023 | -11.58 Mn |
API Access
Vesta Real Estate Corporation, S.A.B. de C.V Interest Expense (in 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=interest-expense-in-operating-expenses&ticker=VTMX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expense-in-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=interest-expense-in-operating-expenses&ticker=VTMX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();