Vivmark Residential (VMRK) Cash from Operations (2009 - 2026)
Vivmark Residential's Cash from Operations came in at $387.03 million for Q4 2025, up 9.3% from $354.23 million a year earlier but down 18.8% from the prior quarter.
Vivmark Residential (VMRK) Cash from Operations (2009 - 2026) Analysis & Trends
For FY2025, Vivmark Residential's Cash from Operations was $1.65 billion, up 4.8% from FY2024.
- Cash from Operations has increased in each of the last four years, with a five-year compound annual growth rate of 5.4% (FY2020 to FY2025).
- Going back by year, Cash from Operations was $1.57 billion in FY2024 (+2.7%), $1.53 billion in FY2023 (+5.4%), $1.45 billion in FY2022 (+15.4%) and $1.26 billion in FY2021 (-0.4%).
- The five-year range for quarterly Cash from Operations is $230.07 million (Q2 2021) to $476.66 million (Q3 2025).
- Year-over-year, Cash from Operations increased in six of the last eight quarters, with growth averaging 4.1%.
- The fastest year-over-year change in Cash from Operations over five years came in Q2 2022 (growth of 40.3%), and the weakest in Q1 2021 (a decline of 9.5%).
- Business Quant data shows VMRK's Cash from Operations at $476.66 million (Q3 2025), $359.55 million (Q2 2025) and $425.53 million (Q1 2025) in the three quarters before Q4 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 164.67 Bn | 146.16 Bn | 1.39 Bn | 1.00 Bn |
| 2 | Prologis | 123.63 Bn | 118.68 Bn | - | 1.35 Bn |
| 3 | Simon Property | 64.74 Bn | 60.59 Bn | - | 833.38 Mn |
| 4 | Realty Income | 51.46 Bn | 49.68 Bn | - | 1.15 Bn |
| 5 | Public Storage | 50.61 Bn | 49.60 Bn | - | 868.44 Mn |
| 6 | Ventas | 41.19 Bn | 39.87 Bn | - | 556.55 Mn |
| 7 | Extra Space Storage | 28.16 Bn | 28.16 Bn | 642.43 Mn | 586.41 Mn |
| 8 | Vici Properties | 24.94 Bn | 23.05 Bn | 1.05 Bn | 728.18 Mn |
| 9 | Vivmark Residential | 22.68 Bn | 22.46 Bn | - | 301.88 Mn |
| 10 | Essex Property Trust | 17.33 Bn | 17.09 Bn | - | 254.06 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 301.88 Mn |
| Mar 31, 2026 | 400.52 Mn |
| Dec 31, 2025 | 387.03 Mn |
| Sep 30, 2025 | 476.66 Mn |
| Jun 30, 2025 | 359.55 Mn |
| Mar 31, 2025 | 425.53 Mn |
| Dec 31, 2024 | 354.23 Mn |
| Sep 30, 2024 | 401.41 Mn |
| Jun 30, 2024 | 396.94 Mn |
| Mar 31, 2024 | 421.03 Mn |
| Dec 31, 2023 | 344.27 Mn |
| Sep 30, 2023 | 442.54 Mn |
| Jun 30, 2023 | 352.70 Mn |
| Mar 31, 2023 | 393.28 Mn |
| Dec 31, 2022 | 334.53 Mn |
| Sep 30, 2022 | 429.35 Mn |
| Jun 30, 2022 | 322.82 Mn |
| Mar 31, 2022 | 368.06 Mn |
| Dec 31, 2021 | 281.97 Mn |
| Sep 30, 2021 | 402.09 Mn |
Vivmark Residential Cash from Operations 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=cash-from-operations&ticker=VMRK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-operations", "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=cash-from-operations&ticker=VMRK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();