Vivmark Residential (VMRK) FCF Margin (2009 - 2020)
Vivmark Residential (VMRK) recorded FCF Margin of 48.40% in Q1 2020, down 1.14 percentage points from 49.54% a year earlier but up 3.90 percentage points from the prior quarter.
Vivmark Residential (VMRK) FCF Margin (2009 - 2020) Analysis & Trends
On a TTM basis, Vivmark Residential's FCF Margin came in at 46.43% as of Mar 31, 2020, up 0.04 percentage points year-over-year; for FY2019, it was 46.70%, up 0.08 percentage points from FY2018.
- Annual FCF Margin has increased for four straight years, with a five-year change of +16.34 percentage points (FY2014 to FY2019).
- Across earlier years, FCF Margin came in at 46.61% in FY2018 (+6.58 pp), 40.03% in FY2017 (+13.35 pp), 26.68% in FY2016 (+1.08 pp) and 25.60% in FY2015 (-4.75 pp).
- Quarterly FCF Margin has ranged from 8.27% in Q1 2016 to 57.64% in Q3 2017 over the past five years.
- On a year-over-year basis, FCF Margin rose in three of the last eight quarters, with an average year-over-year change of +1.06 percentage points.
- Peak year-over-year performance for FCF Margin in the last five years was a gain of 28.86 percentage points in Q4 2016, against a drop of 22.00 percentage points in Q1 2016 at the low end.
- Per Business Quant, the preceding three quarters came in at 44.50% (Q4 2019), 52.45% (Q3 2019) and 40.23% (Q2 2019).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FCF Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 164.76 Bn | 146.25 Bn | 1.39 Bn | -118.68% |
| 2 | Prologis | 121.87 Bn | 116.91 Bn | - | 22.56% |
| 3 | Simon Property | 64.46 Bn | 60.31 Bn | - | 35.57% |
| 4 | Realty Income | 51.43 Bn | 49.65 Bn | - | -48.82% |
| 5 | Public Storage | 50.74 Bn | 49.73 Bn | - | 55.39% |
| 6 | Ventas | 41.30 Bn | 39.99 Bn | - | -53.23% |
| 7 | Extra Space Storage | 28.19 Bn | 28.19 Bn | 642.43 Mn | 48.91% |
| 8 | Vici Properties | 24.97 Bn | 23.08 Bn | 1.05 Bn | 55.46% |
| 9 | Vivmark Residential | 22.73 Bn | 22.51 Bn | - | - |
| 10 | Essex Property Trust | 17.29 Bn | 17.05 Bn | - | 45.50% |
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% |
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_KEY
import 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();