Vivmark Residential (VMRK) Property Operating Expenses (2009 - 2026)
Vivmark Residential's Property Operating Expenses was $245.28 million in Q3 2026, up 49.2% from $164.34 million a year earlier and up 71.8% from the prior quarter.
Vivmark Residential (VMRK) Property Operating Expenses (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Vivmark Residential's Property Operating Expenses was $637.64 million through Sep 30, 2026, up 10.3% year-over-year; for FY2025, it came in at $564.7 million, up 6.6% from FY2024.
- Property Operating Expenses has now increased for five consecutive years, with a five-year compound annual growth rate of 5.1% (FY2020 to FY2025).
- In earlier years, Property Operating Expenses was $529.74 million in FY2024 (+2.9%), $514.58 million in FY2023 (+6.3%), $483.87 million in FY2022 (+6.7%) and $453.53 million in FY2021 (+2.8%).
- The Q3 2026 figure marks the highest quarterly Property Operating Expenses in data going back to Q1 2009.
- Compared with a year earlier, Property Operating Expenses has increased for three straight quarters, with growth averaging 9.7% over the last eight quarters.
- The best year-over-year quarter for Property Operating Expenses over five years was Q3 2026 (growth of 49.2%); the worst was Q4 2025 (a decline of 25.1%).
- Per Business Quant data, VMRK's Property Operating Expenses in the three quarters before Q3 2026 was $142.75 million (Q2 2026), $149.66 million (Q1 2026) and $99.96 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Property Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 179.36 Bn | 166.43 Bn | 1.47 Bn | 2.25 Bn |
| 2 | Prologis | 122.34 Bn | 120.73 Bn | - | 511.72 Mn |
| 3 | Simon Property | 79.95 Bn | 78.05 Bn | - | 180.83 Mn |
| 4 | Public Storage | 62.14 Bn | 61.58 Bn | 112.08 Mn | 333.19 Mn |
| 5 | Realty Income | 55.95 Bn | 57.33 Bn | - | 122.39 Mn |
| 6 | Ventas | 47.02 Bn | 46.18 Bn | -3.39 Bn | 1.10 Bn |
| 7 | Ryman Hospitality Properties | 46.62 Bn | 45.46 Bn | 266.41 Mn | 158.13 Mn |
| 8 | Vivmark Residential | 37.34 Bn | 37.09 Bn | - | 245.28 Mn |
| 9 | Extra Space Storage | 33.12 Bn | 32.90 Bn | 650.96 Mn | 238.84 Mn |
| 10 | Vici Properties | 27.54 Bn | 26.32 Bn | 1.06 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 245.28 Mn |
| Jun 30, 2026 | 142.75 Mn |
| Mar 31, 2026 | 149.66 Mn |
| Dec 31, 2025 | 99.96 Mn |
| Sep 30, 2025 | 164.34 Mn |
| Jun 30, 2025 | 136.27 Mn |
| Mar 31, 2025 | 143.97 Mn |
| Dec 31, 2024 | 133.39 Mn |
| Sep 30, 2024 | 135.22 Mn |
| Jun 30, 2024 | 126.50 Mn |
| Mar 31, 2024 | 134.63 Mn |
| Dec 31, 2023 | 123.14 Mn |
| Sep 30, 2023 | 129.09 Mn |
| Jun 30, 2023 | 124.77 Mn |
| Mar 31, 2023 | 137.58 Mn |
| Dec 31, 2022 | 118.59 Mn |
| Sep 30, 2022 | 124.05 Mn |
| Jun 30, 2022 | 116.36 Mn |
| Mar 31, 2022 | 124.87 Mn |
| Dec 31, 2021 | 112.27 Mn |
Vivmark Residential Property Operating 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=property-operating-expenses&ticker=VMRK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-operating-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=property-operating-expenses&ticker=VMRK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();