Vivmark Residential (VMRK) Price to Earnings (2009 - 2026)
Vivmark Residential (VMRK) posted Price to Earnings of 223.82 for Q2 2026, up 258.74% on a QoQ basis from 62.39 in Q4 2025, and up 67.57% year-over-year from 133.57 in Q2 2025.
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Analysis
Vivmark Residential (VMRK) Price to Earnings (2009 - 2026) Analysis & Trends
Vivmark Residential has reported Price to Earnings for 18 years, with the latest figure at 223.82 in Q2 2026.
- On a quarterly basis, Price to Earnings rose 67.57% year-over-year to 223.82 in Q2 2026; TTM through Jun 2026 was 26.09, a 2.75% increase from a year earlier, with the FY2025 full-year figure at 21.29, down 19.25% from the prior year.
- Price to Earnings was 223.82 for Q2 2026 at Vivmark Residential, up from 62.39 in the prior quarter.
- The five-year high for Price to Earnings was 483.01 in Q1 2022, with the low at 62.39 in Q4 2025.
- Average Price to Earnings over 5 years is 142.37, with a median of 121.63 recorded in 2022.
- The sharpest annual moves came in 2022 and 2023: Price to Earnings surged 118.45% in 2022, then tumbled 77.72% in 2023.
- Over 5 years, Price to Earnings stood at 141.09 in 2022, then sank by 47.12% to 74.61 in 2023, then declined by 12.84% to 65.03 in 2024, then retreated by 4.05% to 62.39 in 2025, then jumped by 258.74% to 223.82 in 2026.
- The last three Price to Earnings figures came in at 223.82 (Q2 2026), 62.39 (Q4 2025), and 85.32 (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 | 223.82 |
| Dec 31, 2025 | 62.39 |
| Sep 30, 2025 | 85.32 |
| Jun 30, 2025 | 133.57 |
| Mar 31, 2025 | 106.11 |
| Dec 31, 2024 | 65.03 |
| Sep 30, 2024 | 197.41 |
| Jun 30, 2024 | 148.40 |
| Mar 31, 2024 | 81.40 |
| Dec 31, 2023 | 74.61 |
| Sep 30, 2023 | 129.81 |
| Jun 30, 2023 | 180.63 |
| Mar 31, 2023 | 107.61 |
| Dec 31, 2022 | 141.09 |
| Sep 30, 2022 | 78.47 |
| Jun 30, 2022 | 121.63 |
| Mar 31, 2022 | 483.01 |
| Dec 31, 2021 | 64.59 |
| Sep 30, 2021 | 70.38 |
| Jun 30, 2021 | 91.33 |
API Access
Vivmark Residential Price to Earnings 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-earnings&ticker=VMRK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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-earnings&ticker=VMRK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();