Ventas (VTR) Operating Margin (2010 - 2019)
Ventas' Operating Margin was 12.85% in Q1 2019, up 0.41 percentage points from 12.44% a year earlier and up 9.48 percentage points from the prior quarter.
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Analysis
Ventas (VTR) Operating Margin (2010 - 2019) Analysis & Trends
On a trailing twelve-month basis, Ventas' Operating Margin was 10.34% through Mar 31, 2019, down 4.79 percentage points year-over-year; for FY2018, it came in at 10.24%, down 6.03 percentage points from FY2017.
- Operating Margin shows a five-year change of -3.90 percentage points (FY2013 to FY2018).
- In earlier years, Operating Margin was 16.26% in FY2017 (+1.42 pp), 14.85% in FY2016 (+4.95 pp), 9.89% in FY2015 (-2.12 pp) and 12.01% in FY2014 (-2.13 pp).
- Quarterly Operating Margin has moved between 3.38% (Q4 2018) and 16.85% (Q1 2017) over five years.
- Compared with a year earlier, Operating Margin was higher in three of the last eight quarters, with an average year-over-year change of -2.73 percentage points.
- The best year-over-year quarter for Operating Margin over five years was Q3 2016 (a gain of 12.63 percentage points); the worst was Q4 2014 (a drop of 30.25 percentage points).
- Per Business Quant data, VTR's Operating Margin in the three quarters before Q1 2019 was 3.38% (Q4 2018), 10.27% (Q3 2018) and 14.71% (Q2 2018).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 166.01 Bn | 148.52 Bn | 1.39 Bn | -51.62% |
| 2 | Prologis | 121.16 Bn | 125.55 Bn | - | 51.59% |
| 3 | Simon Property | 65.49 Bn | 66.75 Bn | - | 49.72% |
| 4 | Realty Income | 51.38 Bn | 53.76 Bn | - | - |
| 5 | Public Storage | 49.67 Bn | 48.75 Bn | - | 37.85% |
| 6 | Ventas | 43.61 Bn | 42.81 Bn | - | - |
| 7 | Extra Space Storage | 27.79 Bn | 27.79 Bn | 642.43 Mn | 44.86% |
| 8 | Vici Properties | 25.29 Bn | 23.41 Bn | 1.05 Bn | 69.48% |
| 9 | Vivmark Residential | 22.78 Bn | 22.97 Bn | - | - |
| 10 | Invitation Homes | 15.55 Bn | 15.59 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2019 | 12.85% |
| Dec 31, 2018 | 3.38% |
| Sep 30, 2018 | 10.27% |
| Jun 30, 2018 | 14.71% |
| Mar 31, 2018 | 12.44% |
| Dec 31, 2017 | 15.06% |
| Sep 30, 2017 | 16.44% |
| Jun 30, 2017 | 16.71% |
| Mar 31, 2017 | 16.85% |
| Dec 31, 2016 | 15.59% |
| Sep 30, 2016 | 16.15% |
| Jun 30, 2016 | 14.50% |
| Mar 31, 2016 | 13.10% |
| Dec 31, 2015 | 12.41% |
| Sep 30, 2015 | 3.51% |
| Jun 30, 2015 | 13.43% |
| Mar 31, 2015 | 10.25% |
| Dec 31, 2014 | 8.88% |
| Sep 30, 2014 | 11.55% |
| Jun 30, 2014 | 7.64% |
API Access
Ventas 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=VTR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "ticker": "VTR", "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=VTR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();