Ventas (VTR) Gross Margin (2010 - 2026)
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.
Ventas (VTR) Gross Margin (2010 - 2026) 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 Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Gross Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 179.70 Bn | 166.77 Bn | 1.47 Bn | 39.55% |
| 2 | Prologis | 122.17 Bn | 120.56 Bn | - | - |
| 3 | Simon Property | 80.16 Bn | 78.26 Bn | - | - |
| 4 | Public Storage | 62.28 Bn | 61.73 Bn | 112.08 Mn | 8.20% |
| 5 | Realty Income | 56.35 Bn | 57.74 Bn | - | - |
| 6 | Ventas | 47.42 Bn | 46.59 Bn | -3.39 Bn | -184.88% |
| 7 | Ryman Hospitality Properties | 47.10 Bn | 45.93 Bn | 266.41 Mn | 40.62% |
| 8 | Vivmark Residential | 37.16 Bn | 36.91 Bn | - | - |
| 9 | Extra Space Storage | 33.05 Bn | 32.83 Bn | 650.96 Mn | 73.16% |
| 10 | Vici Properties | 27.32 Bn | 26.10 Bn | 1.06 Bn | 99.36% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -184.88% |
| Jun 30, 2026 | -95.80% |
| Dec 31, 2025 | 264.18% |
| Sep 30, 2025 | -186.63% |
| Jun 30, 2025 | -95.58% |
| Dec 31, 2024 | 279.77% |
| Sep 30, 2024 | -194.20% |
| Jun 30, 2024 | -99.91% |
| Dec 31, 2023 | 280.05% |
| Sep 30, 2023 | -189.91% |
| Jun 30, 2023 | -97.37% |
| Dec 31, 2022 | 290.85% |
| Sep 30, 2022 | -196.72% |
| Jun 30, 2022 | -99.47% |
| Dec 31, 2021 | 7.92% |
| Jun 30, 2021 | -2.61% |
| Mar 31, 2021 | -11.18% |
| Dec 31, 2020 | 204.95% |
| Sep 30, 2020 | -213.05% |
| Jun 30, 2020 | -0.80% |
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_KEY
import 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();