Ventas (VTR) Liabilities from Discontinued Operations (2014 - 2026)
Ventas' Liabilities from Discontinued Operations was $2.58 million in Q2 2026, down 24.9% from $3.44 million a year earlier but up 69.0% from the prior quarter.
Ventas (VTR) Liabilities from Discontinued Operations (2014 - 2026) Analysis & Trends
At the end of FY2025, Liabilities from Discontinued Operations at Ventas came in at $4.03 million, up 47.9% from FY2024.
- Liabilities from Discontinued Operations shows a five-year compound annual growth rate of 4.4% (FY2020 to FY2025).
- In earlier years, Liabilities from Discontinued Operations was $2.73 million in FY2024 (-70.5%), $9.24 million in FY2023 (+42.4%), $6.49 million in FY2022 (-40.2%) and $10.85 million in FY2021 (+234.3%).
- Quarterly Liabilities from Discontinued Operations has moved between $1.53 million (Q1 2026) and $20.52 million (Q3 2021) over five years.
- Compared with a year earlier, Liabilities from Discontinued Operations was higher in two of the last eight quarters, with an average decline of 26.2%.
- The best year-over-year quarter for Liabilities from Discontinued Operations over five years was Q3 2021 (growth of 932.6%); the worst was Q4 2024 (a decline of 70.5%).
- Per Business Quant data, VTR's Liabilities from Discontinued Operations in the three quarters before Q2 2026 was $1.53 million (Q1 2026), $4.03 million (Q4 2025) and $3.71 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Welltower | 165.31 Bn | 146.80 Bn | 1.39 Bn |
| 2 | Prologis | 124.18 Bn | 119.22 Bn | - |
| 3 | Simon Property | 64.55 Bn | 60.40 Bn | - |
| 4 | Realty Income | 51.65 Bn | 49.88 Bn | - |
| 5 | Public Storage | 50.71 Bn | 49.70 Bn | - |
| 6 | Ventas | 41.48 Bn | 40.17 Bn | - |
| 7 | Extra Space Storage | 28.27 Bn | 28.27 Bn | 642.43 Mn |
| 8 | Vici Properties | 25.03 Bn | 23.14 Bn | 1.05 Bn |
| 9 | Vivmark Residential | 22.70 Bn | 22.48 Bn | - |
| 10 | Essex Property Trust | 17.31 Bn | 17.07 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.58 Mn |
| Mar 31, 2026 | 1.53 Mn |
| Dec 31, 2025 | 4.03 Mn |
| Sep 30, 2025 | 3.71 Mn |
| Jun 30, 2025 | 3.44 Mn |
| Mar 31, 2025 | 2.37 Mn |
| Dec 31, 2024 | 2.73 Mn |
| Sep 30, 2024 | 5.25 Mn |
| Jun 30, 2024 | 4.99 Mn |
| Mar 31, 2024 | 7.61 Mn |
| Dec 31, 2023 | 9.24 Mn |
| Sep 30, 2023 | 5.10 Mn |
| Jun 30, 2023 | 2.96 Mn |
| Mar 31, 2023 | 4.41 Mn |
| Dec 31, 2022 | 6.49 Mn |
| Sep 30, 2022 | 9.49 Mn |
| Jun 30, 2022 | 5.87 Mn |
| Mar 31, 2022 | 8.41 Mn |
| Dec 31, 2021 | 10.85 Mn |
| Sep 30, 2021 | 20.52 Mn |
Ventas Liabilities from Discontinued Operations 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=liabilities-from-discontinued-operations&ticker=VTR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "liabilities-from-discontinued-operations", "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=liabilities-from-discontinued-operations&ticker=VTR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();