Ventas (VTR) Shares Outstanding (2009 - 2026)
Ventas' Shares Outstanding came in at 489.29 million for Q2 2026, up 8.1% from 452.58 million a year earlier and up 2.8% from the prior quarter.
Analysis
Ventas (VTR) Shares Outstanding (2009 - 2026) Analysis & Trends
For FY2025, Ventas' Shares Outstanding was 455.08 million, up 10.5% from FY2024.
- Shares Outstanding has increased in each of the last three years, with a five-year compound annual growth rate of 4.0% (FY2020 to FY2025).
- Going back by year, Shares Outstanding was 411.77 million in FY2024 (+2.5%), 401.81 million in FY2023 (+7.6%), 373.37 million in FY2022 (-2.5%) and 382.79 million in FY2021 (+2.5%).
- The Q2 2026 figure represents the highest quarterly Shares Outstanding in data going back to Q1 2009.
- Year-over-year, Shares Outstanding has increased for 14 consecutive quarters, with growth averaging 7.8% over the last eight quarters.
- The fastest year-over-year change in Shares Outstanding over five years came in Q2 2025 (growth of 10.9%), and the weakest in Q4 2022 (a decline of 2.5%).
- Business Quant data shows VTR's Shares Outstanding at 476.19 million (Q1 2026), 455.08 million (Q4 2025) and 456.03 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 165.25 Bn | 146.74 Bn | 1.39 Bn | 709.73 Mn |
| 2 | Prologis | 124.09 Bn | 119.13 Bn | - | 933.09 Mn |
| 3 | Simon Property | 64.79 Bn | 60.64 Bn | - | 324.96 Mn |
| 4 | Realty Income | 51.71 Bn | 49.93 Bn | - | 932.31 Mn |
| 5 | Public Storage | 50.81 Bn | 49.80 Bn | - | 175.56 Mn |
| 6 | Ventas | 41.44 Bn | 40.13 Bn | - | 489.29 Mn |
| 7 | Extra Space Storage | 28.30 Bn | 28.30 Bn | 642.43 Mn | 210.96 Mn |
| 8 | Vici Properties | 25.09 Bn | 23.21 Bn | 1.05 Bn | 1.09 Bn |
| 9 | Vivmark Residential | 22.72 Bn | 22.50 Bn | - | 374.18 Mn |
| 10 | Essex Property Trust | 17.34 Bn | 17.10 Bn | - | 64.27 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 489.29 Mn |
| Mar 31, 2026 | 476.19 Mn |
| Dec 31, 2025 | 455.08 Mn |
| Sep 30, 2025 | 456.03 Mn |
| Jun 30, 2025 | 452.58 Mn |
| Mar 31, 2025 | 439.93 Mn |
| Dec 31, 2024 | 411.77 Mn |
| Sep 30, 2024 | 414.60 Mn |
| Jun 30, 2024 | 408.10 Mn |
| Mar 31, 2024 | 403.37 Mn |
| Dec 31, 2023 | 401.81 Mn |
| Sep 30, 2023 | 402.86 Mn |
| Jun 30, 2023 | 400.43 Mn |
| Mar 31, 2023 | 399.99 Mn |
| Dec 31, 2022 | 373.37 Mn |
| Sep 30, 2022 | 399.65 Mn |
| Jun 30, 2022 | 399.59 Mn |
| Mar 31, 2022 | 399.30 Mn |
| Dec 31, 2021 | 382.79 Mn |
| Sep 30, 2021 | 382.00 Mn |
API Access
Ventas Shares Outstanding 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=shares-outstanding&ticker=VTR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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=shares-outstanding&ticker=VTR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();