Vivmark Residential (VMRK) Real Estate, at Cost (2009 - 2026)
Vivmark Residential (VMRK) posted Real Estate, at Cost of $61.11 billion for Q3 2026, up 99.7% from $30.6 billion a year earlier and up 100.7% from the prior quarter.
Vivmark Residential (VMRK) Real Estate, at Cost (2009 - 2026) Analysis & Trends
At the end of FY2025, Vivmark Residential's Real Estate, at Cost came in at $27.71 billion, down 7.5% from FY2024.
- Annual Real Estate, at Cost shows a five-year compound annual growth rate of 0.4% (FY2020 to FY2025).
- In prior years, Vivmark Residential's Real Estate, at Cost was $29.97 billion in FY2024 (+4.4%), $28.71 billion in FY2023 (+2.2%), $28.09 billion in FY2022 (-0.7%) and $28.27 billion in FY2021 (+3.9%).
- The Q3 2026 figure stands as the highest quarterly Real Estate, at Cost in data going back to Q4 2009.
- On a year-over-year basis, Real Estate, at Cost increased in six of the last eight quarters, with growth averaging 13.8%.
- The strongest year-over-year quarter for Real Estate, at Cost in the past five years was Q3 2026, with growth of 99.7%; the weakest was Q4 2025, with a decline of 7.5%.
- According to Business Quant data, Real Estate, at Cost for the three prior quarters was $30.44 billion (Q2 2026), $30.55 billion (Q1 2026) and $27.71 billion (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 | 61.11 Bn |
| Jun 30, 2026 | 30.44 Bn |
| Mar 31, 2026 | 30.55 Bn |
| Dec 31, 2025 | 27.71 Bn |
| Sep 30, 2025 | 30.60 Bn |
| Jun 30, 2025 | 30.58 Bn |
| Mar 31, 2025 | 29.94 Bn |
| Dec 31, 2024 | 29.97 Bn |
| Sep 30, 2024 | 30.11 Bn |
| Jun 30, 2024 | 28.80 Bn |
| Mar 31, 2024 | 28.70 Bn |
| Dec 31, 2023 | 28.71 Bn |
| Sep 30, 2023 | 28.63 Bn |
| Jun 30, 2023 | 28.39 Bn |
| Mar 31, 2023 | 28.10 Bn |
| Dec 31, 2022 | 28.09 Bn |
| Sep 30, 2022 | 27.98 Bn |
| Jun 30, 2022 | 28.30 Bn |
| Mar 31, 2022 | 28.44 Bn |
| Dec 31, 2021 | 28.27 Bn |
Vivmark Residential 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=VMRK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "real-estate-at-cost", "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=real-estate-at-cost&ticker=VMRK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();