Vivmark Residential (VMRK) EBITDA Margin (2009 - 2020)
Vivmark Residential (VMRK) recorded EBITDA Margin of 92.99% in Q1 2020, up 30.47 percentage points from 62.52% a year earlier and up 1.78 percentage points from the prior quarter.
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Analysis
Vivmark Residential (VMRK) EBITDA Margin (2009 - 2020) Analysis & Trends
On a TTM basis, Vivmark Residential's EBITDA Margin came in at 88.49% as of Mar 31, 2020, up 20.14 percentage points year-over-year; for FY2019, it came in at 80.98%, up 7.11 percentage points from FY2018.
- Annual EBITDA Margin has increased for three straight years, with a five-year change of +16.58 percentage points (FY2014 to FY2019).
- Across earlier years, EBITDA Margin came in at 73.87% in FY2018 (+2.98 pp), 70.90% in FY2017 (+6.37 pp), 64.52% in FY2016 (-0.27 pp) and 64.79% in FY2015 (+0.40 pp).
- The Q1 2020 figure is the highest quarterly EBITDA Margin in data going back to Q1 2009.
- On a year-over-year basis, EBITDA Margin has increased for four consecutive quarters, with an average year-over-year change of +6.22 percentage points over the last eight quarters.
- Peak year-over-year performance for EBITDA Margin in the last five years was a gain of 30.47 percentage points in Q1 2020, against a drop of 26.39 percentage points in Q4 2018 at the low end.
- Per Business Quant, the preceding three quarters came in at 91.21% (Q4 2019), 84.63% (Q3 2019) and 85.08% (Q2 2019).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 165.45 Bn | 146.94 Bn | 1.39 Bn | -30.49% |
| 2 | Prologis | 124.08 Bn | 119.12 Bn | - | 80.90% |
| 3 | Simon Property | 64.74 Bn | 60.59 Bn | - | 73.69% |
| 4 | Realty Income | 51.73 Bn | 49.95 Bn | - | 88.01% |
| 5 | Public Storage | 50.79 Bn | 49.78 Bn | - | 61.42% |
| 6 | Ventas | 41.44 Bn | 40.13 Bn | - | 36.41% |
| 7 | Extra Space Storage | 28.30 Bn | 28.30 Bn | 642.43 Mn | 67.55% |
| 8 | Vici Properties | 25.09 Bn | 23.21 Bn | 1.05 Bn | 70.62% |
| 9 | Vivmark Residential | 22.71 Bn | 22.49 Bn | - | - |
| 10 | Essex Property Trust | 17.34 Bn | 17.10 Bn | - | 54.39% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2020 | 93.82% |
| Dec 31, 2019 | 92.17% |
| Sep 30, 2019 | 84.17% |
| Jun 30, 2019 | 85.63% |
| Mar 31, 2019 | 63.18% |
| Dec 31, 2018 | 64.45% |
| Sep 30, 2018 | 82.13% |
| Jun 30, 2018 | 63.98% |
| Mar 31, 2018 | 85.51% |
| Dec 31, 2017 | 90.52% |
| Sep 30, 2017 | 64.89% |
| Jun 30, 2017 | 64.23% |
| Mar 31, 2017 | 64.36% |
| Dec 31, 2016 | 67.19% |
| Sep 30, 2016 | 64.63% |
| Jun 30, 2016 | 64.75% |
| Mar 31, 2016 | 67.67% |
| Dec 31, 2015 | 67.34% |
| Sep 30, 2015 | 65.65% |
| Jun 30, 2015 | 65.37% |
API Access
Vivmark Residential EBITDA 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=ebitda-margin&ticker=VMRK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-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=ebitda-margin&ticker=VMRK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();