Vivmark Residential (VMRK) Weighted Average Shares Outstanding (Diluted) (2009 - 2026)
Vivmark Residential (VMRK) recorded Weighted Average Shares Outstanding (Diluted) of 585.44 million in Q3 2026, up 47.1% from 397.93 million a year earlier and up 52.5% from the prior quarter.
Vivmark Residential (VMRK) Weighted Average Shares Outstanding (Diluted) (2009 - 2026) Analysis & Trends
For FY2025, Vivmark Residential reported Weighted Average Shares Outstanding (Diluted) of 390.41 million, down 0.1% from FY2024.
- Annual Weighted Average Shares Outstanding (Diluted) has a five-year compound annual growth rate of 0.2% (FY2020 to FY2025).
- Across earlier years, Weighted Average Shares Outstanding (Diluted) came in at 390.74 million in FY2024 (unchanged), 390.9 million in FY2023 (+0.4%), 389.45 million in FY2022 (+0.4%) and 388.09 million in FY2021 (+0.6%).
- The Q3 2026 figure is the highest quarterly Weighted Average Shares Outstanding (Diluted) in data going back to Q1 2009.
- On a year-over-year basis, Weighted Average Shares Outstanding (Diluted) rose in four of the last eight quarters, with growth averaging 5.7%.
- Peak year-over-year performance for Weighted Average Shares Outstanding (Diluted) in the last five years was growth of 47.1% in Q3 2026, against a decline of 1.9% in Q2 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at 383.88 million (Q2 2026), 385.11 million (Q1 2026) and 390.41 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Welltower | 179.36 Bn | 166.43 Bn | 1.47 Bn |
| 2 | Prologis | 122.34 Bn | 120.73 Bn | - |
| 3 | Simon Property | 79.95 Bn | 78.05 Bn | - |
| 4 | Public Storage | 62.14 Bn | 61.58 Bn | 112.08 Mn |
| 5 | Realty Income | 55.95 Bn | 57.33 Bn | - |
| 6 | Ventas | 47.02 Bn | 46.18 Bn | -3.39 Bn |
| 7 | Ryman Hospitality Properties | 46.62 Bn | 45.46 Bn | 266.41 Mn |
| 8 | Vivmark Residential | 37.34 Bn | 37.09 Bn | - |
| 9 | Extra Space Storage | 33.12 Bn | 32.90 Bn | 650.96 Mn |
| 10 | Vici Properties | 27.54 Bn | 26.32 Bn | 1.06 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 585.44 Mn |
| Jun 30, 2026 | 383.88 Mn |
| Mar 31, 2026 | 385.11 Mn |
| Dec 31, 2025 | 390.41 Mn |
| Sep 30, 2025 | 397.93 Mn |
| Jun 30, 2025 | 391.50 Mn |
| Mar 31, 2025 | 391.18 Mn |
| Dec 31, 2024 | 390.74 Mn |
| Sep 30, 2024 | 391.03 Mn |
| Jun 30, 2024 | 390.54 Mn |
| Mar 31, 2024 | 390.56 Mn |
| Dec 31, 2023 | 390.90 Mn |
| Sep 30, 2023 | 391.35 Mn |
| Jun 30, 2023 | 391.19 Mn |
| Mar 31, 2023 | 390.66 Mn |
| Dec 31, 2022 | 389.45 Mn |
| Sep 30, 2022 | 389.30 Mn |
| Jun 30, 2022 | 389.36 Mn |
| Mar 31, 2022 | 389.63 Mn |
| Dec 31, 2021 | 388.09 Mn |
Vivmark Residential Weighted Average Shares Outstanding (Diluted) 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=weighted-average-shares-outstanding-diluted&ticker=VMRK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "weighted-average-shares-outstanding-diluted", "ticker": "VMRK", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=weighted-average-shares-outstanding-diluted&ticker=VMRK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();