Ventas, Inc. (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, Inc. (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
Historic Data
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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, Inc. 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();