Vivmark Residential (VMRK) EBITDA Margin (2009 - 2020)
Vivmark Residential (VMRK) posted EBITDA Margin of 92.99% for Q1 2020, up 1.95% on a QoQ basis from 91.21% in Q4 2019, and up 3047.0% year-over-year from 2.95% in Q2 2019.
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Analysis
Vivmark Residential (VMRK) EBITDA Margin (2009 - 2020) Analysis & Trends
Vivmark Residential has reported EBITDA Margin for 12 years, with the latest figure at 92.99% in Q1 2020.
- On a quarterly basis, EBITDA Margin rose 3047.0% year-over-year to 92.99% in Q1 2020; TTM through Mar 2020 was 88.49%, a 2024.0% increase from a year earlier, with the FY2019 full-year figure at 80.98%, up 728.0% from the prior year.
- EBITDA Margin was 92.99% for Q1 2020 at Vivmark Residential, up from 91.21% in the prior quarter.
- The five-year high for EBITDA Margin was 92.99% in Q1 2020, with the low at 62.52% in Q1 2019.
- Average EBITDA Margin over 5 years is 72.15%, with a median of 64.52% recorded in 2018.
- The sharpest annual moves came in 2019 and 2020: EBITDA Margin plunged 2206 bps in 2019, then surged 3047 bps in 2020.
- Over 5 years, EBITDA Margin stood at 66.31% in 2016, then fell by 1 bps to 65.89% in 2017, then decreased by 2 bps to 64.52% in 2018, then surged by 41 bps to 91.21% in 2019, then grew by 2 bps to 92.99% in 2020.
- The last three EBITDA Margin figures came in at 92.99% (Q1 2020), 91.21% (Q4 2019), and 84.63% (Q3 2019), per Business Quant data.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 165.94 Bn | 165.00 Bn | 1.39 Bn | -51.62% |
| 2 | Prologis | 126.84 Bn | 131.24 Bn | 2.41 Bn | 51.59% |
| 3 | Simon Property | 67.22 Bn | 68.48 Bn | 1.76 Bn | 49.72% |
| 4 | Realty Income | 53.47 Bn | 55.85 Bn | - | 45.77% |
| 5 | Public Storage | 50.86 Bn | 50.70 Bn | 1.20 Bn | 59.90% |
| 6 | Ventas | 44.55 Bn | 44.86 Bn | 1.73 Bn | 2.88% |
| 7 | Extra Space Storage | 28.52 Bn | 29.39 Bn | 642.43 Mn | 44.86% |
| 8 | Vici Properties | 26.41 Bn | 25.98 Bn | 1.05 Bn | 69.58% |
| 9 | Vivmark Residential | 23.37 Bn | 23.56 Bn | - | - |
| 10 | Invitation Homes | 16.02 Bn | 16.06 Bn | 705.34 Mn | 32.39% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2020 | 92.99% |
| Dec 31, 2019 | 91.21% |
| Sep 30, 2019 | 84.63% |
| Jun 30, 2019 | 85.08% |
| Mar 31, 2019 | 62.52% |
| Dec 31, 2018 | 64.52% |
| Sep 30, 2018 | 81.80% |
| Jun 30, 2018 | 64.17% |
| Mar 31, 2018 | 84.58% |
| Dec 31, 2017 | 65.89% |
| Sep 30, 2017 | 64.39% |
| Jun 30, 2017 | 63.75% |
| Mar 31, 2017 | 63.46% |
| Dec 31, 2016 | 66.31% |
| Sep 30, 2016 | 64.12% |
| Jun 30, 2016 | 64.21% |
| Mar 31, 2016 | 62.92% |
| Dec 31, 2015 | 66.57% |
| Sep 30, 2015 | 65.15% |
| Jun 30, 2015 | 64.87% |
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();