Vivmark Residential (VMRK) Net Margin (2009 - 2020)
Vivmark Residential's Net Margin came in at 45.12% for Q1 2020, up 29.45 percentage points from 15.66% a year earlier and up 2.86 percentage points from the prior quarter.
Vivmark Residential (VMRK) Net Margin (2009 - 2020) Analysis & Trends
Over the trailing twelve months to Mar 31, 2020, Vivmark Residential reported Net Margin of 43.05%, up 22.07 percentage points year-over-year; for FY2019, it was 35.81%, up 10.43 percentage points from FY2018.
- Net Margin carries a five-year change of +11.83 percentage points (FY2014 to FY2019).
- Going back by year, Net Margin was 25.38% in FY2018 (+1.09 pp), 24.29% in FY2017 (-152.52 pp), 176.81% in FY2016 (+145.36 pp) and 31.45% in FY2015 (+7.46 pp).
- The five-year range for quarterly Net Margin is 15.66% (Q1 2019) to 579.40% (Q1 2016).
- Year-over-year, Net Margin has increased for four consecutive quarters, with an average year-over-year change of +8.16 percentage points over the last eight quarters.
- The fastest year-over-year change in Net Margin over five years came in Q1 2016 (a gain of 552.56 percentage points), and the weakest in Q1 2017 (a drop of 555.74 percentage points).
- Business Quant data shows VMRK's Net Margin at 42.26% (Q4 2019), 38.87% (Q3 2019) and 46.03% (Q2 2019) in the three quarters before Q1 2020.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 165.17 Bn | 146.66 Bn | 1.39 Bn | 12.55% |
| 2 | Prologis | 123.98 Bn | 119.02 Bn | - | 43.74% |
| 3 | Simon Property | 64.46 Bn | 60.31 Bn | - | 27.29% |
| 4 | Realty Income | 51.59 Bn | 49.82 Bn | - | 22.22% |
| 5 | Public Storage | 50.66 Bn | 49.65 Bn | - | 36.52% |
| 6 | Ventas | 41.43 Bn | 40.11 Bn | - | 4.08% |
| 7 | Extra Space Storage | 28.25 Bn | 28.25 Bn | 642.43 Mn | 30.14% |
| 8 | Vici Properties | 25.03 Bn | 23.14 Bn | 1.05 Bn | 49.74% |
| 9 | Vivmark Residential | 22.69 Bn | 22.47 Bn | - | - |
| 10 | Essex Property Trust | 17.30 Bn | 17.06 Bn | - | 12.77% |
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% |
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_KEY
import 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();