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 | 181.91 Bn | 168.97 Bn | 1.47 Bn | 706.79 Mn |
| 2 | Prologis | 124.85 Bn | 123.24 Bn | - | 710.30 Mn |
| 3 | Simon Property | 78.40 Bn | 75.60 Bn | - | 459.88 Mn |
| 4 | Public Storage | 64.04 Bn | 63.49 Bn | - | 412.61 Mn |
| 5 | Realty Income | 56.32 Bn | 57.70 Bn | - | 647.56 Mn |
| 6 | Ventas | 47.18 Bn | 46.34 Bn | - | 446.01 Mn |
| 7 | Extra Space Storage | 33.64 Bn | 33.42 Bn | 650.96 Mn | 189.60 Mn |
| 8 | Vici Properties | 27.80 Bn | 26.16 Bn | 1.06 Bn | 876,000.00 |
| 9 | Vivmark Residential | 23.88 Bn | 23.85 Bn | - | 246.38 Mn |
| 10 | Host Hotels & Resorts | 17.89 Bn | 13.15 Bn | 609.00 Mn | 193.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 446.01 Mn |
| 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 |
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();