Ventas (VTR) Accumulated Expenses (2009 - 2026)
Ventas (VTR) posted Accumulated Expenses of $142.5 million for Q2 2026, up 25.4% on a QoQ basis from $113.6 million in Q1 2026, and up 9.25% year-over-year from $130.4 million in Q2 2025.
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Analysis
Ventas (VTR) Accumulated Expenses (2009 - 2026) Analysis & Trends
Ventas has reported Accumulated Expenses for 18 years, with the latest figure at $142.5 million in Q2 2026.
- On a quarterly basis, Accumulated Expenses rose 9.25% year-over-year to $142.5 million in Q2 2026; TTM through Jun 2026 was $142.5 million, a 9.25% increase from a year earlier, with the FY2025 full-year figure at $143.1 million, changed 0.17% from the prior year.
- Accumulated Expenses was $142.5 million for Q2 2026 at Ventas, up from $113.6 million in the prior quarter.
- The five-year high for Accumulated Expenses was $143.3 million in Q4 2024, with the low at $92.7 million in Q3 2022.
- Average Accumulated Expenses over 5 years is $116.5 million, with a median of $113.7 million recorded in 2024.
- The sharpest annual moves came in 2024 and 2025: Accumulated Expenses surged 31.66% in 2024, then slipped 13.28% in 2025.
- Over 5 years, Accumulated Expenses stood at $110.5 million in 2022, then rose by 6.21% to $117.4 million in 2023, then increased by 22.1% to $143.3 million in 2024, then declined by 0.17% to $143.1 million in 2025, then declined by 0.45% to $142.5 million in 2026.
- The last three Accumulated Expenses figures came in at $142.5 million (Q2 2026), $113.6 million (Q1 2026), and $143.1 million (Q4 2025), per Business Quant data.
Peer Set
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
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 142.46 Mn |
| Mar 31, 2026 | 113.61 Mn |
| Dec 31, 2025 | 143.10 Mn |
| Sep 30, 2025 | 113.25 Mn |
| Jun 30, 2025 | 130.41 Mn |
| Mar 31, 2025 | 106.80 Mn |
| Dec 31, 2024 | 143.35 Mn |
| Sep 30, 2024 | 113.75 Mn |
| Jun 30, 2024 | 122.13 Mn |
| Mar 31, 2024 | 123.16 Mn |
| Dec 31, 2023 | 117.40 Mn |
| Sep 30, 2023 | 119.69 Mn |
| Jun 30, 2023 | 112.79 Mn |
| Mar 31, 2023 | 93.54 Mn |
| Dec 31, 2022 | 110.54 Mn |
| Sep 30, 2022 | 92.66 Mn |
| Jun 30, 2022 | 104.42 Mn |
| Mar 31, 2022 | 93.56 Mn |
| Dec 31, 2021 | 106.60 Mn |
| Sep 30, 2021 | 90.01 Mn |
API Access
Ventas 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=VTR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=VTR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();