Ventas (VTR) Real Estate, at Cost (2009 - 2026)
Ventas' Real Estate, at Cost was $39.12 billion in Q2 2026, up 12.6% from $34.72 billion a year earlier and up 5.1% from the prior quarter.
Powered by 
Analysis
Ventas (VTR) Real Estate, at Cost (2009 - 2026) Analysis & Trends
At the end of FY2025, Real Estate, at Cost at Ventas came in at $36.17 billion, up 7.3% from FY2024.
- Real Estate, at Cost has now increased for five consecutive years, with a five-year compound annual growth rate of 4.9% (FY2020 to FY2025).
- In earlier years, Real Estate, at Cost was $33.7 billion in FY2024 (+5.5%), $31.93 billion in FY2023 (+4.9%), $30.42 billion in FY2022 (+0.9%) and $30.17 billion in FY2021 (+6.1%).
- The Q2 2026 figure marks the highest quarterly Real Estate, at Cost in data going back to Q4 2009.
- Compared with a year earlier, Real Estate, at Cost has increased for eight straight quarters, with growth averaging 7.6% over the last eight quarters.
- The best year-over-year quarter for Real Estate, at Cost over five years was Q2 2026 (growth of 12.6%); the worst was Q2 2024 (a decline of 0.5%).
- Per Business Quant data, VTR's Real Estate, at Cost in the three quarters before Q2 2026 was $37.2 billion (Q1 2026), $36.17 billion (Q4 2025) and $35.72 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Welltower | 181.70 Bn | 168.77 Bn | 1.47 Bn |
| 2 | Prologis | 123.65 Bn | 122.03 Bn | - |
| 3 | Simon Property | 80.48 Bn | 78.58 Bn | - |
| 4 | Public Storage | 62.76 Bn | 62.20 Bn | 112.08 Mn |
| 5 | Realty Income | 56.61 Bn | 57.99 Bn | - |
| 6 | Ryman Hospitality Properties | 47.80 Bn | 46.64 Bn | 266.41 Mn |
| 7 | Ventas | 47.78 Bn | 46.95 Bn | -3.39 Bn |
| 8 | Vivmark Residential | 38.23 Bn | 37.98 Bn | - |
| 9 | Extra Space Storage | 33.20 Bn | 32.98 Bn | 650.96 Mn |
| 10 | Vici Properties | 27.53 Bn | 26.31 Bn | 1.06 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 40.21 Bn |
| Jun 30, 2026 | 39.12 Bn |
| Mar 31, 2026 | 37.20 Bn |
| Dec 31, 2025 | 36.17 Bn |
| Sep 30, 2025 | 35.72 Bn |
| Jun 30, 2025 | 34.72 Bn |
| Mar 31, 2025 | 34.41 Bn |
| Dec 31, 2024 | 33.70 Bn |
| Sep 30, 2024 | 32.40 Bn |
| Jun 30, 2024 | 32.12 Bn |
| Mar 31, 2024 | 31.95 Bn |
| Dec 31, 2023 | 31.93 Bn |
| Sep 30, 2023 | 32.07 Bn |
| Jun 30, 2023 | 32.28 Bn |
| Mar 31, 2023 | 30.50 Bn |
| Dec 31, 2022 | 30.42 Bn |
| Sep 30, 2022 | 30.31 Bn |
| Jun 30, 2022 | 30.56 Bn |
| Mar 31, 2022 | 30.61 Bn |
| Dec 31, 2021 | 30.17 Bn |
API Access
Ventas Real Estate, at Cost 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=real-estate-at-cost&ticker=VTR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "real-estate-at-cost", "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=real-estate-at-cost&ticker=VTR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();