Ventas (VTR) Depreciation & Amortization (CF) (2009 - 2026)
Ventas' Depreciation & Amortization (CF) was $407.71 million in Q2 2026, up 17.3% from $347.72 million a year earlier and up 6.6% from the prior quarter.
Ventas (VTR) Depreciation & Amortization (CF) (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Ventas' Depreciation & Amortization (CF) was $1.5 billion through Jun 30, 2026, up 17.0% year-over-year; for FY2025, it came in at $1.38 billion, up 10.1% from FY2024.
- Depreciation & Amortization (CF) shows a five-year compound annual growth rate of 4.4% (FY2020 to FY2025).
- In earlier years, Depreciation & Amortization (CF) was $1.25 billion in FY2024 (-10.0%), $1.39 billion in FY2023 (+16.3%), $1.2 billion in FY2022 (unchanged) and $1.2 billion in FY2021 (+7.9%).
- The Q2 2026 figure marks the highest quarterly Depreciation & Amortization (CF) since Q4 2023.
- Compared with a year earlier, Depreciation & Amortization (CF) has increased for six straight quarters, with growth averaging 3.8% over the last eight quarters.
- The best year-over-year quarter for Depreciation & Amortization (CF) over five years was Q4 2023 (growth of 34.3%); the worst was Q4 2024 (a decline of 29.1%).
- Per Business Quant data, VTR's Depreciation & Amortization (CF) in the three quarters before Q2 2026 was $382.47 million (Q1 2026), $352.72 million (Q4 2025) and $357.17 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 164.16 Bn | 145.65 Bn | 1.39 Bn | 737.76 Mn |
| 2 | Prologis | 123.69 Bn | 118.73 Bn | - | 689.52 Mn |
| 3 | Simon Property | 64.74 Bn | 60.59 Bn | - | 532.59 Mn |
| 4 | Realty Income | 51.42 Bn | 49.64 Bn | - | 644.68 Mn |
| 5 | Public Storage | 50.52 Bn | 49.51 Bn | - | 287.76 Mn |
| 6 | Ventas | 41.09 Bn | 39.78 Bn | - | 407.71 Mn |
| 7 | Extra Space Storage | 28.14 Bn | 28.14 Bn | 642.43 Mn | 185.61 Mn |
| 8 | Vici Properties | 24.92 Bn | 23.03 Bn | 1.05 Bn | 998,000.00 |
| 9 | Vivmark Residential | 22.68 Bn | 22.46 Bn | - | 246.38 Mn |
| 10 | Essex Property Trust | 17.28 Bn | 17.04 Bn | - | 154.07 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 407.71 Mn |
| Mar 31, 2026 | 382.47 Mn |
| Dec 31, 2025 | 352.72 Mn |
| Sep 30, 2025 | 357.17 Mn |
| Jun 30, 2025 | 347.72 Mn |
| Mar 31, 2025 | 321.53 Mn |
| Dec 31, 2024 | 308.77 Mn |
| Sep 30, 2024 | 304.27 Mn |
| Jun 30, 2024 | 339.85 Mn |
| Mar 31, 2024 | 300.26 Mn |
| Dec 31, 2023 | 435.28 Mn |
| Sep 30, 2023 | 370.38 Mn |
| Jun 30, 2023 | 304.69 Mn |
| Mar 31, 2023 | 282.12 Mn |
| Dec 31, 2022 | 324.18 Mn |
| Sep 30, 2022 | 301.48 Mn |
| Jun 30, 2022 | 283.08 Mn |
| Mar 31, 2022 | 289.06 Mn |
| Dec 31, 2021 | 318.96 Mn |
| Sep 30, 2021 | 313.60 Mn |
Ventas Depreciation & Amortization (CF) 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=depreciation-and-amortization-cf&ticker=VTR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "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=depreciation-and-amortization-cf&ticker=VTR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();