Vivmark Residential (VMRK) Price to Book (2009 - 2026)
Vivmark Residential (VMRK) posted Price to Book of 2.38 for Q2 2026, up 12.29% on a QoQ basis from 2.12 in Q4 2025, and up 4.06% year-over-year from 2.29 in Q2 2025.
Powered by 
Analysis
Vivmark Residential (VMRK) Price to Book (2009 - 2026) Analysis & Trends
Vivmark Residential has reported Price to Book for 18 years, with the latest figure at 2.38 in Q2 2026.
- On a quarterly basis, Price to Book rose 4.06% year-over-year to 2.38 in Q2 2026; TTM through Jun 2026 was 2.38, a 4.06% increase from a year earlier, with the FY2025 full-year figure at 2.12, down 12.44% from the prior year.
- Price to Book was 2.38 for Q2 2026 at Vivmark Residential, up from 2.12 in the prior quarter.
- The five-year high for Price to Book was 3.06 in Q1 2022, with the low at 1.96 in Q4 2022.
- Average Price to Book over 5 years is 2.28, with a median of 2.25 recorded in 2022.
- The sharpest annual moves came in 2022 and 2024: Price to Book plunged 35.43% in 2022, then gained 29.14% in 2024.
- Over 5 years, Price to Book stood at 1.96 in 2022, then increased by 4.76% to 2.05 in 2023, then increased by 17.84% to 2.42 in 2024, then retreated by 12.44% to 2.12 in 2025, then gained by 12.29% to 2.38 in 2026.
- The last three Price to Book figures came in at 2.38 (Q2 2026), 2.12 (Q4 2025), and 2.18 (Q3 2025), per Business Quant data.
Peer Set
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
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.38 |
| Dec 31, 2025 | 2.12 |
| Sep 30, 2025 | 2.18 |
| Jun 30, 2025 | 2.29 |
| Mar 31, 2025 | 2.42 |
| Dec 31, 2024 | 2.42 |
| Sep 30, 2024 | 2.56 |
| Jun 30, 2024 | 2.35 |
| Mar 31, 2024 | 2.12 |
| Dec 31, 2023 | 2.05 |
| Sep 30, 2023 | 1.98 |
| Jun 30, 2023 | 2.23 |
| Mar 31, 2023 | 2.00 |
| Dec 31, 2022 | 1.96 |
| Sep 30, 2022 | 2.25 |
| Jun 30, 2022 | 2.45 |
| Mar 31, 2022 | 3.06 |
| Dec 31, 2021 | 3.04 |
| Sep 30, 2021 | 2.79 |
| Jun 30, 2021 | 2.71 |
API Access
Vivmark Residential Price to Book 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=price-to-book&ticker=VMRK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "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=price-to-book&ticker=VMRK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();