Ventas (VTR) Gross Margin (2010 - 2019)
Ventas' Gross Margin came in at 99.93% for Q1 2019, down 0.05 percentage points from 99.99% a year earlier and down 0.03 percentage points from the prior quarter.
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Analysis
Ventas (VTR) Gross Margin (2010 - 2019) Analysis & Trends
Over the trailing twelve months to Mar 31, 2019, Ventas reported Gross Margin of 99.95%, up 0.02 percentage points year-over-year; for FY2018, it was 99.96%, up 0.06 percentage points from FY2017.
- Gross Margin has increased in each of the last three years, with a five-year change of +0.29 percentage points (FY2013 to FY2018).
- Going back by year, Gross Margin was 99.91% in FY2017 (+0.12 pp), 99.79% in FY2016 (+0.60 pp), 99.19% in FY2015 (-0.19 pp) and 99.38% in FY2014 (-0.29 pp).
- The Q1 2019 figure represents the lowest quarterly Gross Margin since Q4 2017.
- Year-over-year, Gross Margin increased in four of the last eight quarters, with an average year-over-year change of +0.04 percentage points.
- The fastest year-over-year change in Gross Margin over five years came in Q4 2016 (a gain of 0.77 percentage points), and the weakest in Q4 2014 (a drop of 0.57 percentage points).
- Business Quant data shows VTR's Gross Margin at 99.96% (Q4 2018), 99.95% (Q3 2018) and 99.94% (Q2 2018) in the three quarters before Q1 2019.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Gross Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 166.01 Bn | 148.52 Bn | 1.39 Bn | 39.34% |
| 2 | Prologis | 121.16 Bn | 125.55 Bn | - | - |
| 3 | Simon Property | 65.49 Bn | 66.75 Bn | - | - |
| 4 | Realty Income | 51.38 Bn | 53.76 Bn | - | - |
| 5 | Public Storage | 49.67 Bn | 48.75 Bn | - | - |
| 6 | Ventas | 43.61 Bn | 42.81 Bn | - | - |
| 7 | Extra Space Storage | 27.79 Bn | 27.79 Bn | 642.43 Mn | 73.49% |
| 8 | Vici Properties | 25.29 Bn | 23.41 Bn | 1.05 Bn | 99.30% |
| 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 | 99.93% |
| Dec 31, 2018 | 99.96% |
| Sep 30, 2018 | 99.95% |
| Jun 30, 2018 | 99.94% |
| Mar 31, 2018 | 99.99% |
| Dec 31, 2017 | 99.81% |
| Sep 30, 2017 | 99.95% |
| Jun 30, 2017 | 99.94% |
| Mar 31, 2017 | 99.92% |
| Dec 31, 2016 | 99.88% |
| Sep 30, 2016 | 99.89% |
| Jun 30, 2016 | 99.78% |
| Mar 31, 2016 | 99.60% |
| Dec 31, 2015 | 99.11% |
| Sep 30, 2015 | 99.22% |
| Jun 30, 2015 | 99.29% |
| Mar 31, 2015 | 99.14% |
| Dec 31, 2014 | 98.97% |
| Sep 30, 2014 | 99.35% |
| Jun 30, 2014 | 99.76% |
API Access
Ventas Gross 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=gross-margin&ticker=VTR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gross-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=gross-margin&ticker=VTR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();