Vivmark Residential (VMRK) Buildings (2016 - 2026)
Vivmark Residential (VMRK) posted Buildings of $21.1 billion for Q2 2026, little changed on a QoQ basis from $21.1 billion in Q4 2025, and down 0.52% year-over-year from $21.2 billion in Q2 2025.
Vivmark Residential (VMRK) Buildings (2016 - 2026) Analysis & Trends
Vivmark Residential has reported Buildings for 11 years, with the latest figure at $21.1 billion in Q2 2026.
- On a quarterly basis, Buildings fell 0.52% year-over-year to $21.1 billion in Q2 2026; TTM through Jun 2026 was $21.1 billion, a 0.52% decrease from a year earlier, with the FY2025 full-year figure at $21.1 billion, up 2.05% from the prior year.
- Buildings was $21.1 billion for Q2 2026 at Vivmark Residential, roughly flat from $21.1 billion in the prior quarter.
- The five-year high for Buildings was $21.2 billion in Q2 2025, with the low at $19.4 billion in Q1 2023.
- Average Buildings over 5 years is $20.2 billion, with a median of $19.8 billion recorded in 2023.
- The sharpest annual moves came in 2023 and 2025: Buildings declined 1.41% in 2023, then advanced 7.03% in 2025.
- Over 5 years, Buildings stood at $19.5 billion in 2022, then increased by 1.74% to $19.8 billion in 2023, then rose by 4.17% to $20.6 billion in 2024, then advanced by 2.05% to $21.1 billion in 2025, then advanced by 0.06% to $21.1 billion in 2026.
- The last three Buildings figures came in at $21.1 billion (Q2 2026), $21.1 billion (Q4 2025), and $21.2 billion (Q3 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Welltower | 165.94 Bn | 165.00 Bn | 1.39 Bn |
| 2 | Prologis | 126.84 Bn | 131.24 Bn | 2.41 Bn |
| 3 | Simon Property | 67.22 Bn | 68.48 Bn | 1.76 Bn |
| 4 | Realty Income | 53.47 Bn | 55.85 Bn | - |
| 5 | Public Storage | 50.86 Bn | 50.70 Bn | 1.20 Bn |
| 6 | Ventas | 44.55 Bn | 44.86 Bn | 1.73 Bn |
| 7 | Extra Space Storage | 28.52 Bn | 29.39 Bn | 642.43 Mn |
| 8 | Vici Properties | 26.41 Bn | 25.98 Bn | 1.05 Bn |
| 9 | Vivmark Residential | 23.37 Bn | 23.56 Bn | - |
| 10 | Invitation Homes | 16.02 Bn | 16.06 Bn | 705.34 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 21.07 Bn |
| Dec 31, 2025 | 21.06 Bn |
| Sep 30, 2025 | 21.18 Bn |
| Jun 30, 2025 | 21.18 Bn |
| Mar 31, 2025 | 20.72 Bn |
| Dec 31, 2024 | 20.64 Bn |
| Sep 30, 2024 | 20.76 Bn |
| Jun 30, 2024 | 19.79 Bn |
| Mar 31, 2024 | 19.76 Bn |
| Dec 31, 2023 | 19.81 Bn |
| Sep 30, 2023 | 19.83 Bn |
| Jun 30, 2023 | 19.70 Bn |
| Mar 31, 2023 | 19.44 Bn |
| Dec 31, 2022 | 19.47 Bn |
| Sep 30, 2022 | 19.45 Bn |
| Jun 30, 2022 | 19.65 Bn |
| Mar 31, 2022 | 19.72 Bn |
| Dec 31, 2021 | 19.63 Bn |
| Sep 30, 2021 | 19.21 Bn |
| Jun 30, 2021 | 18.64 Bn |
Vivmark Residential Buildings 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=buildings&ticker=VMRK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "buildings", "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=buildings&ticker=VMRK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();