Vivmark Residential (VMRK) Accumulated Expenses (2009 - 2026)
Vivmark Residential (VMRK) posted Accumulated Expenses of $73.4 million for Q2 2026, down 0.56% on a QoQ basis from $73.9 million in Q4 2025, and down 2.96% year-over-year from $75.7 million in Q2 2025.
Vivmark Residential (VMRK) Accumulated Expenses (2009 - 2026) Analysis & Trends
Vivmark Residential has reported Accumulated Expenses for 18 years, with the latest figure at $73.4 million in Q2 2026.
- On a quarterly basis, Accumulated Expenses fell 2.96% year-over-year to $73.4 million in Q2 2026; TTM through Jun 2026 was $73.4 million, a 2.96% decrease from a year earlier, with the FY2025 full-year figure at $73.9 million, changed 0.43% from the prior year.
- Accumulated Expenses was $73.4 million for Q2 2026 at Vivmark Residential, down from $73.9 million in the prior quarter.
- The five-year high for Accumulated Expenses was $75.7 million in Q2 2025, with the low at $47.5 million in Q3 2023.
- Average Accumulated Expenses over 5 years is $61.1 million, with a median of $65.6 million recorded in 2024.
- The sharpest annual moves came in 2022 and 2025: Accumulated Expenses slipped 12.55% in 2022, then rose 15.41% in 2025.
- Over 5 years, Accumulated Expenses stood at $66.3 million in 2022, then retreated by 0.9% to $65.7 million in 2023, then gained by 12.87% to $74.2 million in 2024, then dropped by 0.43% to $73.9 million in 2025, then decreased by 0.56% to $73.4 million in 2026.
- The last three Accumulated Expenses figures came in at $73.4 million (Q2 2026), $73.9 million (Q4 2025), and $54.6 million (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 | 73.45 Mn |
| Dec 31, 2025 | 73.86 Mn |
| Sep 30, 2025 | 54.64 Mn |
| Jun 30, 2025 | 75.69 Mn |
| Mar 31, 2025 | 50.32 Mn |
| Dec 31, 2024 | 74.18 Mn |
| Sep 30, 2024 | 50.63 Mn |
| Jun 30, 2024 | 65.59 Mn |
| Mar 31, 2024 | 49.19 Mn |
| Dec 31, 2023 | 65.72 Mn |
| Sep 30, 2023 | 47.52 Mn |
| Jun 30, 2023 | 66.24 Mn |
| Mar 31, 2023 | 49.78 Mn |
| Dec 31, 2022 | 66.31 Mn |
| Sep 30, 2022 | 49.65 Mn |
| Jun 30, 2022 | 69.04 Mn |
| Mar 31, 2022 | 56.88 Mn |
| Dec 31, 2021 | 69.51 Mn |
| Sep 30, 2021 | 56.78 Mn |
| Jun 30, 2021 | 65.81 Mn |
Vivmark Residential Accumulated Expenses 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=accumulated-expenses&ticker=VMRK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=VMRK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();