Vivmark Residential (VMRK) FCF Margin (2009 - 2020)
Vivmark Residential (VMRK) posted FCF Margin of 48.4% for Q1 2020, up 3845.38% on a QoQ basis from 1.29% in Q4 2019, and up 3110.0% year-over-year from 1.51% in Q2 2019.
Powered by 
Analysis
Vivmark Residential (VMRK) FCF Margin (2009 - 2020) Analysis & Trends
Vivmark Residential has reported FCF Margin for 12 years, with the latest figure at 48.4% in Q1 2020.
- On a quarterly basis, FCF Margin rose 3110.0% year-over-year to 48.4% in Q1 2020; TTM through Mar 2020 was 5.65%, a 1183.0% decrease from a year earlier, with the FY2019 full-year figure at 2.29%, down 2743.0% from the prior year.
- FCF Margin was 48.4% for Q1 2020 at Vivmark Residential, up from 1.29% in the prior quarter.
- The five-year high for FCF Margin was 48.48% in Q1 2018, with the low at 22.79% in Q3 2018.
- Average FCF Margin over 5 years is 22.19%, with a median of 27.82% recorded in 2018.
- The sharpest annual moves came in 2019 and 2020: FCF Margin slumped 4911 bps in 2019, then surged 3110 bps in 2020.
- Over 5 years, FCF Margin stood at 46.65% in 2016, then grew by 0 bps to 46.88% in 2017, then increased by 2 bps to 47.81% in 2018, then slumped by 103 bps to 1.29% in 2019, then soared by 3845 bps to 48.4% in 2020.
- The last three FCF Margin figures came in at 48.4% (Q1 2020), 1.29% (Q4 2019), and 13.24% (Q3 2019), per Business Quant data.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FCF Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 165.94 Bn | 165.00 Bn | 1.39 Bn | 19.31% |
| 2 | Prologis | 126.84 Bn | 131.24 Bn | 2.41 Bn | - |
| 3 | Simon Property | 67.22 Bn | 68.48 Bn | 1.76 Bn | 52.96% |
| 4 | Realty Income | 53.47 Bn | 55.85 Bn | - | -48.82% |
| 5 | Public Storage | 50.86 Bn | 50.70 Bn | 1.20 Bn | 55.39% |
| 6 | Ventas | 44.55 Bn | 44.86 Bn | 1.73 Bn | -53.23% |
| 7 | Extra Space Storage | 28.52 Bn | 29.39 Bn | 642.43 Mn | 48.91% |
| 8 | Vici Properties | 26.41 Bn | 25.98 Bn | 1.05 Bn | 27.75% |
| 9 | Vivmark Residential | 23.37 Bn | 23.56 Bn | - | - |
| 10 | Invitation Homes | 16.02 Bn | 16.06 Bn | 705.34 Mn | 42.97% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2020 | 48.40% |
| Dec 31, 2019 | -1.29% |
| Sep 30, 2019 | -13.24% |
| Jun 30, 2019 | -11.50% |
| Mar 31, 2019 | 17.30% |
| Dec 31, 2018 | 47.81% |
| Sep 30, 2018 | -22.79% |
| Jun 30, 2018 | 27.82% |
| Mar 31, 2018 | 48.48% |
| Dec 31, 2017 | 46.88% |
| Sep 30, 2017 | 19.31% |
| Jun 30, 2017 | 29.82% |
| Mar 31, 2017 | 33.21% |
| Dec 31, 2016 | 46.65% |
| Sep 30, 2016 | 33.43% |
| Jun 30, 2016 | 20.42% |
| Mar 31, 2016 | 6.57% |
| Dec 31, 2015 | 17.80% |
| Sep 30, 2015 | 32.58% |
| Jun 30, 2015 | 21.94% |
API Access
Vivmark Residential FCF Margin 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-margin&ticker=VMRK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "fcf-margin", "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-margin&ticker=VMRK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();