Ventas (VTR) Cash from Operations (2009 - 2026)
Ventas' Cash from Operations came in at $556.55 million for Q2 2026, up 17.1% from $475.34 million a year earlier and up 41.0% from the prior quarter.
Ventas (VTR) Cash from Operations (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Ventas reported Cash from Operations of $1.8 billion, up 18.2% year-over-year; for FY2025, it was $1.65 billion, up 23.8% from FY2024.
- Cash from Operations carries a five-year compound annual growth rate of 2.6% (FY2020 to FY2025).
- Going back by year, Cash from Operations was $1.33 billion in FY2024 (+18.7%), $1.12 billion in FY2023 (unchanged), $1.12 billion in FY2022 (+9.2%) and $1.03 billion in FY2021 (-29.2%).
- The Q2 2026 figure represents the highest quarterly Cash from Operations in data going back to Q1 2009.
- Year-over-year, Cash from Operations has increased for 11 consecutive quarters, with growth averaging 24.1% over the last eight quarters.
- The fastest year-over-year change in Cash from Operations over five years came in Q2 2025 (growth of 41.5%), and the weakest in Q3 2021 (a decline of 46.7%).
- Business Quant data shows VTR's Cash from Operations at $394.61 million (Q1 2026), $471.66 million (Q4 2025) and $378.58 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 166.01 Bn | 148.52 Bn | 1.39 Bn | 1.00 Bn |
| 2 | Prologis | 121.16 Bn | 125.55 Bn | - | - |
| 3 | Simon Property | 65.49 Bn | 66.75 Bn | - | 1.20 Bn |
| 4 | Realty Income | 51.38 Bn | 53.76 Bn | - | 1.15 Bn |
| 5 | Public Storage | 49.67 Bn | 48.75 Bn | - | 868.44 Mn |
| 6 | Ventas | 43.61 Bn | 42.81 Bn | - | 556.55 Mn |
| 7 | Extra Space Storage | 27.79 Bn | 27.79 Bn | 642.43 Mn | 586.41 Mn |
| 8 | Vici Properties | 25.29 Bn | 23.41 Bn | 1.05 Bn | 728.18 Mn |
| 9 | Vivmark Residential | 22.78 Bn | 22.97 Bn | - | - |
| 10 | Invitation Homes | 15.55 Bn | 15.59 Bn | - | 383.62 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 556.55 Mn |
| Mar 31, 2026 | 394.61 Mn |
| Dec 31, 2025 | 471.66 Mn |
| Sep 30, 2025 | 378.58 Mn |
| Jun 30, 2025 | 475.34 Mn |
| Mar 31, 2025 | 321.14 Mn |
| Dec 31, 2024 | 373.64 Mn |
| Sep 30, 2024 | 353.66 Mn |
| Jun 30, 2024 | 335.87 Mn |
| Mar 31, 2024 | 266.45 Mn |
| Dec 31, 2023 | 279.08 Mn |
| Sep 30, 2023 | 286.15 Mn |
| Jun 30, 2023 | 311.83 Mn |
| Mar 31, 2023 | 242.82 Mn |
| Dec 31, 2022 | 267.25 Mn |
| Sep 30, 2022 | 300.28 Mn |
| Jun 30, 2022 | 278.08 Mn |
| Mar 31, 2022 | 274.55 Mn |
| Dec 31, 2021 | 265.80 Mn |
| Sep 30, 2021 | 231.46 Mn |
Ventas Cash from 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=cash-from-operations&ticker=VTR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-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=cash-from-operations&ticker=VTR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();