Vivmark Residential (VMRK) Net Margin (2009 - 2020)
Vivmark Residential (VMRK) posted Net Margin of 45.12% for Q1 2020, up 6.77% on a QoQ basis from 42.26% in Q4 2019, and up 2945.0% year-over-year from 1.48% in Q2 2019.
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Analysis
Vivmark Residential (VMRK) Net Margin (2009 - 2020) Analysis & Trends
Vivmark Residential has reported Net Margin for 12 years, with the latest figure at 45.12% in Q1 2020.
- On a quarterly basis, Net Margin rose 2945.0% year-over-year to 45.12% in Q1 2020; TTM through Mar 2020 was 43.05%, a 2207.0% increase from a year earlier, with the FY2019 full-year figure at 35.81%, up 1043.0% from the prior year.
- Net Margin was 45.12% for Q1 2020 at Vivmark Residential, up from 42.26% in the prior quarter.
- The five-year high for Net Margin was 579.4% in Q1 2016, with the low at 15.66% in Q1 2019.
- Average Net Margin over 5 years is 63.7%, with a median of 33.34% recorded in 2018.
- The sharpest annual moves came in 2016 and 2017: Net Margin soared 55256 bps in 2016, then plunged 55574 bps in 2017.
- Over 5 years, Net Margin stood at 45.66% in 2016, then slumped by 57 bps to 19.77% in 2017, then fell by 10 bps to 17.83% in 2018, then surged by 137 bps to 42.26% in 2019, then increased by 7 bps to 45.12% in 2020.
- The last three Net Margin figures came in at 45.12% (Q1 2020), 42.26% (Q4 2019), and 38.87% (Q3 2019), per Business Quant data.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 165.94 Bn | 165.00 Bn | 1.39 Bn | 12.55% |
| 2 | Prologis | 126.84 Bn | 131.24 Bn | 2.41 Bn | 43.74% |
| 3 | Simon Property | 67.22 Bn | 68.48 Bn | 1.76 Bn | 170.16% |
| 4 | Realty Income | 53.47 Bn | 55.85 Bn | - | 22.22% |
| 5 | Public Storage | 50.86 Bn | 50.70 Bn | 1.20 Bn | 36.52% |
| 6 | Ventas | 44.55 Bn | 44.86 Bn | 1.73 Bn | 4.08% |
| 7 | Extra Space Storage | 28.52 Bn | 29.39 Bn | 642.43 Mn | 29.68% |
| 8 | Vici Properties | 26.41 Bn | 25.98 Bn | 1.05 Bn | 49.97% |
| 9 | Vivmark Residential | 23.37 Bn | 23.56 Bn | - | - |
| 10 | Invitation Homes | 16.02 Bn | 16.06 Bn | 705.34 Mn | 29.18% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2020 | 45.12% |
| Dec 31, 2019 | 42.26% |
| Sep 30, 2019 | 38.87% |
| Jun 30, 2019 | 46.03% |
| Mar 31, 2019 | 15.66% |
| Dec 31, 2018 | 17.83% |
| Sep 30, 2018 | 32.80% |
| Jun 30, 2018 | 17.63% |
| Mar 31, 2018 | 33.34% |
| Dec 31, 2017 | 19.77% |
| Sep 30, 2017 | 22.02% |
| Jun 30, 2017 | 31.88% |
| Mar 31, 2017 | 23.67% |
| Dec 31, 2016 | 45.66% |
| Sep 30, 2016 | 34.24% |
| Jun 30, 2016 | 36.64% |
| Mar 31, 2016 | 579.40% |
| Dec 31, 2015 | 28.87% |
| Sep 30, 2015 | 28.13% |
| Jun 30, 2015 | 42.05% |
API Access
Vivmark Residential Net 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=net-margin&ticker=VMRK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-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=net-margin&ticker=VMRK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();