Ventas (VTR) Other Operating Expenses (2009 - 2026)
Ventas (VTR) posted Other Operating Expenses of $1.6 billion for Q2 2026, up 4.05% on a QoQ basis from $1.6 billion in Q1 2026, and up 21.35% year-over-year from $1.3 billion in Q2 2025.
Ventas (VTR) Other Operating Expenses (2009 - 2026) Analysis & Trends
Ventas has reported Other Operating Expenses for 18 years, with the latest figure at $1.6 billion in Q2 2026.
- On a quarterly basis, Other Operating Expenses rose 21.35% year-over-year to $1.6 billion in Q2 2026; TTM through Jun 2026 was $6.0 billion, a 20.31% increase from a year earlier, with the FY2025 full-year figure at $5.4 billion, up 14.6% from the prior year.
- Other Operating Expenses was $1.6 billion for Q2 2026 at Ventas, up from $1.6 billion in the prior quarter.
- The five-year high for Other Operating Expenses was $1.6 billion in Q2 2026, with the low at -$34000.0 in Q2 2022.
- Average Other Operating Expenses over 5 years is $1.1 billion, with a median of $1.2 billion recorded in 2023.
- The sharpest annual moves came in 2022 and 2023: Other Operating Expenses tumbled 100.08% in 2022, then soared 2959676.47% in 2023.
- Over 5 years, Other Operating Expenses stood at $1.1 billion in 2022, then rose by 11.68% to $1.2 billion in 2023, then gained by 0.37% to $1.2 billion in 2024, then grew by 17.14% to $1.5 billion in 2025, then increased by 11.01% to $1.6 billion in 2026.
- The last three Other Operating Expenses figures came in at $1.6 billion (Q2 2026), $1.6 billion (Q1 2026), and $1.5 billion (Q4 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Welltower | 165.94 Bn | 165.00 Bn | 1.39 Bn |
| 2 | Prologis | 126.84 Bn | 131.24 Bn | 2.41 Bn |
| 3 | Simon Property | 67.22 Bn | 68.48 Bn | 1.76 Bn |
| 4 | Realty Income | 53.47 Bn | 55.85 Bn | - |
| 5 | Public Storage | 50.86 Bn | 50.70 Bn | 1.20 Bn |
| 6 | Ventas | 44.55 Bn | 44.86 Bn | 1.73 Bn |
| 7 | Extra Space Storage | 28.52 Bn | 29.39 Bn | 642.43 Mn |
| 8 | Vici Properties | 26.41 Bn | 25.98 Bn | 1.05 Bn |
| 9 | Vivmark Residential | 23.37 Bn | 23.56 Bn | - |
| 10 | Invitation Homes | 16.02 Bn | 16.06 Bn | 705.34 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.61 Bn |
| Mar 31, 2026 | 1.55 Bn |
| Dec 31, 2025 | 1.45 Bn |
| Sep 30, 2025 | 1.40 Bn |
| Jun 30, 2025 | 1.33 Bn |
| Mar 31, 2025 | 1.26 Bn |
| Dec 31, 2024 | 1.24 Bn |
| Sep 30, 2024 | 1.17 Bn |
| Jun 30, 2024 | 1.18 Bn |
| Mar 31, 2024 | 1.15 Bn |
| Dec 31, 2023 | 1.24 Bn |
| Sep 30, 2023 | 1.19 Bn |
| Jun 30, 2023 | 1.01 Bn |
| Mar 31, 2023 | 1.02 Bn |
| Dec 31, 2022 | 1.11 Bn |
| Sep 30, 2022 | 136,000.00 |
| Jun 30, 2022 | -34,000.00 |
| Mar 31, 2022 | 2.46 Mn |
| Dec 31, 2021 | 24.71 Mn |
| Sep 30, 2021 | 150.29 Mn |
Ventas 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=VTR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-operating-expenses&ticker=VTR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();