Vivmark Residential (VMRK) FCF Payout Ratio (2009 - 2025)
Vivmark Residential (VMRK) posted FCF Payout Ratio of 0.73 for Q4 2025, up 3.02% on a QoQ basis from 0.7 in Q3 2025, and down 77.41% year-over-year from 3.21 in Q4 2024.
Vivmark Residential (VMRK) FCF Payout Ratio (2009 - 2025) Analysis & Trends
Vivmark Residential has reported FCF Payout Ratio for 17 years, with the latest figure at 0.73 in Q4 2025.
- On a quarterly basis, FCF Payout Ratio fell 77.41% year-over-year to 0.73 in Q4 2025; TTM through Dec 2025 was 1.06, a 102.24% increase from a year earlier, with the FY2025 full-year figure at 1.06, up 102.24% from the prior year.
- FCF Payout Ratio was 0.73 for Q4 2025 at Vivmark Residential, up from 0.7 in the prior quarter.
- The five-year high for FCF Payout Ratio was 16.96 in Q2 2021, with the low at 1.82 in Q2 2025.
- Average FCF Payout Ratio over 5 years is 1.37, with a median of 0.71 recorded in 2024.
- The sharpest annual moves came in 2021 and 2025: FCF Payout Ratio jumped 1486.1% in 2021, then plunged 355.72% in 2025.
- Over 5 years, FCF Payout Ratio stood at 0.55 in 2021, then jumped by 226.88% to 0.7 in 2022, then advanced by 3.97% to 0.73 in 2023, then soared by 339.59% to 3.21 in 2024, then plunged by 77.41% to 0.73 in 2025.
- The last three FCF Payout Ratio figures came in at 0.73 (Q4 2025), 0.7 (Q3 2025), and 1.82 (Q2 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FCF Cover (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 165.94 Bn | 165.00 Bn | 1.39 Bn | 0.77 |
| 2 | Prologis | 126.84 Bn | 131.24 Bn | 2.41 Bn | - |
| 3 | Simon Property | 67.22 Bn | 68.48 Bn | 1.76 Bn | 0.76 |
| 4 | Realty Income | 53.47 Bn | 55.85 Bn | - | - |
| 5 | Public Storage | 50.86 Bn | 50.70 Bn | 1.20 Bn | 0.84 |
| 6 | Ventas | 44.55 Bn | 44.86 Bn | 1.73 Bn | - |
| 7 | Extra Space Storage | 28.52 Bn | 29.39 Bn | 642.43 Mn | 0.80 |
| 8 | Vici Properties | 26.41 Bn | 25.98 Bn | 1.05 Bn | 1.60 |
| 9 | Vivmark Residential | 23.37 Bn | 23.56 Bn | - | - |
| 10 | Invitation Homes | 16.02 Bn | 16.06 Bn | 705.34 Mn | 0.56 |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 0.73 |
| Sep 30, 2025 | 0.70 |
| Jun 30, 2025 | -1.82 |
| Mar 31, 2025 | 0.65 |
| Dec 31, 2024 | 3.21 |
| Sep 30, 2024 | -0.30 |
| Jun 30, 2024 | 0.71 |
| Mar 31, 2024 | 0.64 |
| Dec 31, 2023 | 0.73 |
| Sep 30, 2023 | 0.82 |
| Jun 30, 2023 | 1.37 |
| Mar 31, 2023 | 0.63 |
| Dec 31, 2022 | 0.70 |
| Sep 30, 2022 | 0.55 |
| Jun 30, 2022 | 0.73 |
| Mar 31, 2022 | 0.89 |
| Dec 31, 2021 | -0.55 |
| Sep 30, 2021 | -0.67 |
| Jun 30, 2021 | 16.96 |
| Mar 31, 2021 | 0.80 |
Vivmark Residential FCF Payout Ratio 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=fcf-payout-ratio&ticker=VMRK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "fcf-payout-ratio", "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=fcf-payout-ratio&ticker=VMRK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();