Vivmark Residential (VMRK) Operating Margin (2009 - 2020)
Vivmark Residential's Operating Margin was 61.86% in Q1 2020, up 30.17 percentage points from 31.69% a year earlier and up 2.07 percentage points from the prior quarter.
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Analysis
Vivmark Residential (VMRK) Operating Margin (2009 - 2020) Analysis & Trends
On a trailing twelve-month basis, Vivmark Residential's Operating Margin was 57.64% through Mar 31, 2020, up 19.86 percentage points year-over-year; for FY2019, it was 50.21%, up 6.98 percentage points from FY2018.
- Operating Margin has now increased for three consecutive years, with a five-year change of +14.96 percentage points (FY2014 to FY2019).
- In earlier years, Operating Margin was 43.23% in FY2018 (+2.58 pp), 40.65% in FY2017 (+5.36 pp), 35.29% in FY2016 (-1.48 pp) and 36.77% in FY2015 (+1.52 pp).
- The Q1 2020 figure marks the highest quarterly Operating Margin in data going back to Q1 2009.
- Compared with a year earlier, Operating Margin has increased for four straight quarters, with an average year-over-year change of +6.09 percentage points over the last eight quarters.
- The best year-over-year quarter for Operating Margin over five years was Q1 2020 (a gain of 30.17 percentage points); the worst was Q4 2018 (a drop of 25.47 percentage points).
- Per Business Quant data, VMRK's Operating Margin in the three quarters before Q1 2020 was 59.79% (Q4 2019), 53.76% (Q3 2019) and 55.13% (Q2 2019).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 165.45 Bn | 146.94 Bn | 1.39 Bn | -51.62% |
| 2 | Prologis | 124.08 Bn | 119.12 Bn | - | 51.59% |
| 3 | Simon Property | 64.74 Bn | 60.59 Bn | - | 43.38% |
| 4 | Realty Income | 51.73 Bn | 49.95 Bn | - | - |
| 5 | Public Storage | 50.79 Bn | 49.78 Bn | - | 37.85% |
| 6 | Ventas | 41.44 Bn | 40.13 Bn | - | - |
| 7 | Extra Space Storage | 28.30 Bn | 28.30 Bn | 642.43 Mn | 44.86% |
| 8 | Vici Properties | 25.09 Bn | 23.21 Bn | 1.05 Bn | 69.48% |
| 9 | Vivmark Residential | 22.71 Bn | 22.49 Bn | - | - |
| 10 | Essex Property Trust | 17.34 Bn | 17.10 Bn | - | 22.36% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2020 | 61.86% |
| Dec 31, 2019 | 59.79% |
| Sep 30, 2019 | 53.76% |
| Jun 30, 2019 | 55.13% |
| Mar 31, 2019 | 31.69% |
| Dec 31, 2018 | 33.48% |
| Sep 30, 2018 | 51.99% |
| Jun 30, 2018 | 34.01% |
| Mar 31, 2018 | 53.57% |
| Dec 31, 2017 | 58.95% |
| Sep 30, 2017 | 34.89% |
| Jun 30, 2017 | 34.38% |
| Mar 31, 2017 | 33.83% |
| Dec 31, 2016 | 37.01% |
| Sep 30, 2016 | 34.55% |
| Jun 30, 2016 | 34.62% |
| Mar 31, 2016 | 34.99% |
| Dec 31, 2015 | 40.82% |
| Sep 30, 2015 | 37.00% |
| Jun 30, 2015 | 36.26% |
API Access
Vivmark Residential Operating 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=operating-margin&ticker=VMRK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-margin&ticker=VMRK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();