Ventas (VTR) Property Operating Expenses (2009 - 2026)
Ventas (VTR) reported Property Operating Expenses of $1.04 billion for Q2 2026, up 26.1% from $825.27 million a year earlier and up 3.9% from the prior quarter.
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Analysis
Ventas (VTR) Property Operating Expenses (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Ventas' Property Operating Expenses came in at $3.85 billion, up 25.6% year-over-year; for FY2025, it came in at $3.41 billion, up 21.0% from FY2024.
- Property Operating Expenses has increased for 16 consecutive years, with a five-year compound annual growth rate of 12.0% (FY2020 to FY2025).
- By year, Property Operating Expenses came in at $2.82 billion in FY2024 (+10.4%), $2.56 billion in FY2023 (+12.2%), $2.28 billion in FY2022 (+9.2%) and $2.08 billion in FY2021 (+7.6%).
- The Q2 2026 figure ranks as the highest quarterly Property Operating Expenses in data going back to Q1 2009.
- Year over year, Property Operating Expenses has now increased in each of the last 20 quarters, with growth averaging 19.6% over the last eight quarters.
- The year-over-year growth in Property Operating Expenses has ranged between 1.7% (Q4 2022) and 27.8% (Q1 2026) over the last five years.
- Per Business Quant data, the three quarters before Q2 2026 came in at $1 billion (Q1 2026), $935.79 million (Q4 2025) and $868.4 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Property Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 176.94 Bn | 162.96 Bn | 1.47 Bn | - |
| 2 | Prologis | 122.03 Bn | 115.99 Bn | - | 511.72 Mn |
| 3 | Simon Property | 74.72 Bn | 70.78 Bn | - | 171.44 Mn |
| 4 | Public Storage | 61.00 Bn | 59.72 Bn | - | 333.19 Mn |
| 5 | Realty Income | 55.78 Bn | 54.05 Bn | - | 122.39 Mn |
| 6 | Ventas | 45.39 Bn | 44.06 Bn | - | 1.10 Bn |
| 7 | Extra Space Storage | 33.09 Bn | 32.00 Bn | 650.96 Mn | - |
| 8 | Vici Properties | 27.35 Bn | 25.70 Bn | 1.06 Bn | - |
| 9 | Vivmark Residential | 24.46 Bn | 24.24 Bn | - | 142.75 Mn |
| 10 | Essex Property Trust | 17.61 Bn | 17.36 Bn | - | 95.93 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.10 Bn |
| Jun 30, 2026 | 1.04 Bn |
| Mar 31, 2026 | 1.00 Bn |
| Dec 31, 2025 | 935.79 Mn |
| Sep 30, 2025 | 868.40 Mn |
| Jun 30, 2025 | 825.27 Mn |
| Mar 31, 2025 | 783.88 Mn |
| Dec 31, 2024 | 739.51 Mn |
| Sep 30, 2024 | 713.41 Mn |
| Jun 30, 2024 | 680.15 Mn |
| Mar 31, 2024 | 687.50 Mn |
| Dec 31, 2023 | 667.92 Mn |
| Sep 30, 2023 | 656.48 Mn |
| Jun 30, 2023 | 622.82 Mn |
| Mar 31, 2023 | 607.93 Mn |
| Dec 31, 2022 | 589.82 Mn |
| Sep 30, 2022 | 569.83 Mn |
| Jun 30, 2022 | 574.36 Mn |
| Mar 31, 2022 | 542.72 Mn |
| Dec 31, 2021 | 579.94 Mn |
API Access
Ventas Property 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=property-operating-expenses&ticker=VTR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-operating-expenses", "ticker": "VTR", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=property-operating-expenses&ticker=VTR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();