Ventas (VTR) EBITDA (2009 - 2026)
Ventas (VTR) posted EBITDA of $629.8 million for Q2 2026, up 15.1% from $547.37 million a year earlier and up 8.0% from the prior quarter.
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Analysis
Ventas (VTR) EBITDA (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBITDA at Ventas was $2.37 billion, up 17.7% year-over-year; for FY2025, it came in at $2.23 billion, up 18.6% from FY2024.
- Annual EBITDA has increased for four consecutive years, with a five-year compound annual growth rate of 5.8% (FY2020 to FY2025).
- In prior years, Ventas' EBITDA was $1.88 billion in FY2024 (+0.3%), $1.87 billion in FY2023 (+18.3%), $1.58 billion in FY2022 (+6.1%) and $1.49 billion in FY2021 (-11.2%).
- The Q2 2026 figure stands as the highest quarterly EBITDA in data going back to Q1 2009.
- On a year-over-year basis, EBITDA has increased in each of the last six quarters, with growth averaging 13.3% over the last eight quarters.
- The strongest year-over-year quarter for EBITDA in the past five years was Q2 2023, with growth of 44.6%; the weakest was Q4 2021, with a decline of 19.2%.
- According to Business Quant data, EBITDA for the three prior quarters was $583.39 million (Q1 2026), $593.32 million (Q4 2025) and $568.16 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 167.90 Bn | 150.42 Bn | 1.39 Bn | -1.08 Bn |
| 2 | Prologis | 123.74 Bn | 128.13 Bn | - | 1.94 Bn |
| 3 | Simon Property | 66.68 Bn | 67.94 Bn | - | 1.35 Bn |
| 4 | Realty Income | 52.20 Bn | 54.59 Bn | - | 1.35 Bn |
| 5 | Public Storage | 50.15 Bn | 49.24 Bn | - | 754.44 Mn |
| 6 | Ventas | 44.59 Bn | 43.78 Bn | - | 629.80 Mn |
| 7 | Extra Space Storage | 28.21 Bn | 28.21 Bn | 642.43 Mn | 577.79 Mn |
| 8 | Vici Properties | 25.53 Bn | 23.65 Bn | 1.05 Bn | 736.50 Mn |
| 9 | Vivmark Residential | 23.00 Bn | 23.19 Bn | - | 449.31 Mn |
| 10 | Invitation Homes | 15.69 Bn | 15.73 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 629.80 Mn |
| Mar 31, 2026 | 583.39 Mn |
| Dec 31, 2025 | 593.32 Mn |
| Sep 30, 2025 | 568.16 Mn |
| Jun 30, 2025 | 547.37 Mn |
| Mar 31, 2025 | 519.19 Mn |
| Dec 31, 2024 | 469.27 Mn |
| Sep 30, 2024 | 481.30 Mn |
| Jun 30, 2024 | 477.58 Mn |
| Mar 31, 2024 | 449.98 Mn |
| Dec 31, 2023 | 484.11 Mn |
| Sep 30, 2023 | 448.01 Mn |
| Jun 30, 2023 | 515.40 Mn |
| Mar 31, 2023 | 425.88 Mn |
| Dec 31, 2022 | 367.98 Mn |
| Sep 30, 2022 | 418.90 Mn |
| Jun 30, 2022 | 356.42 Mn |
| Mar 31, 2022 | 440.88 Mn |
| Dec 31, 2021 | 366.19 Mn |
| Sep 30, 2021 | 340.47 Mn |
API Access
Ventas EBITDA 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=ebitda&ticker=VTR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=VTR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();