Vivmark Residential (VMRK) Change in Accured Expenses (2009 - 2026)
Vivmark Residential's Change in Accured Expenses came in at -$40.41 million for Q4 2025, compared with -$62.9 million a year earlier.
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Analysis
Vivmark Residential (VMRK) Change in Accured Expenses (2009 - 2026) Analysis & Trends
For FY2025, Vivmark Residential's Change in Accured Expenses was $15.37 million, up 81.7% from FY2024.
- Going back by year, Change in Accured Expenses was $8.46 million in FY2024 (-5.1%), $8.91 million in FY2023, -$3.2 million in FY2022 and $15.38 million in FY2021.
- The five-year range for quarterly Change in Accured Expenses is -$79.47 million (Q4 2022) to $62.66 million (Q3 2021).
- Year-over-year, Change in Accured Expenses increased in two of the last four quarters, with growth averaging 3.5%.
- The fastest year-over-year change in Change in Accured Expenses over five years came in Q3 2021 (growth of 29.3%), and the weakest in Q1 2023 (a decline of 16.9%).
- Business Quant data shows VMRK's Change in Accured Expenses at $44.88 million (Q3 2025), -$40.41 million (Q2 2025) and $51.31 million (Q1 2025) in the three quarters before Q4 2025.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 165.25 Bn | 146.74 Bn | 1.39 Bn | - |
| 2 | Prologis | 124.11 Bn | 119.15 Bn | - | 187.04 Mn |
| 3 | Simon Property | 64.82 Bn | 60.67 Bn | - | -301.36 Mn |
| 4 | Realty Income | 51.70 Bn | 49.92 Bn | - | 130.70 Mn |
| 5 | Public Storage | 50.81 Bn | 49.80 Bn | - | 144.79 Mn |
| 6 | Ventas | 41.42 Bn | 40.11 Bn | - | 49.02 Mn |
| 7 | Extra Space Storage | 28.29 Bn | 28.29 Bn | 642.43 Mn | 69.91 Mn |
| 8 | Vici Properties | 25.10 Bn | 23.21 Bn | 1.05 Bn | 47.28 Mn |
| 9 | Vivmark Residential | 22.73 Bn | 22.51 Bn | - | -25.21 Mn |
| 10 | Essex Property Trust | 17.37 Bn | 17.13 Bn | - | 16.82 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -25.21 Mn |
| Mar 31, 2026 | 31.62 Mn |
| Dec 31, 2025 | -40.41 Mn |
| Sep 30, 2025 | 44.88 Mn |
| Jun 30, 2025 | -40.41 Mn |
| Mar 31, 2025 | 51.31 Mn |
| Dec 31, 2024 | -62.90 Mn |
| Sep 30, 2024 | 52.58 Mn |
| Jun 30, 2024 | -35.51 Mn |
| Mar 31, 2024 | 54.29 Mn |
| Dec 31, 2023 | -62.42 Mn |
| Sep 30, 2023 | 45.91 Mn |
| Jun 30, 2023 | -19.93 Mn |
| Mar 31, 2023 | 45.36 Mn |
| Dec 31, 2022 | -79.47 Mn |
| Sep 30, 2022 | 53.66 Mn |
| Jun 30, 2022 | -31.94 Mn |
| Mar 31, 2022 | 54.55 Mn |
| Dec 31, 2021 | -53.79 Mn |
| Sep 30, 2021 | 62.66 Mn |
API Access
Vivmark Residential Change in Accured 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=change-in-accured-expenses&ticker=VMRK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=VMRK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();