Ventas (VTR) Operating Margin (2010 - 2026)
Ventas' Operating Margin was 24.65% in Q1 2019, up 0.40 percentage points from 24.26% a year earlier and up 9.27 percentage points from the prior quarter.
Ventas (VTR) Operating Margin (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Ventas' Operating Margin was 22.19% through Mar 31, 2019, down 5.42 percentage points year-over-year; for FY2018, it came in at 22.09%, down 6.81 percentage points from FY2017.
- Operating Margin shows a five-year change of -2.28 percentage points (FY2013 to FY2018).
- In earlier years, Operating Margin was 28.90% in FY2017 (+1.65 pp), 27.25% in FY2016 (+5.38 pp), 21.87% in FY2015 (-1.28 pp) and 23.15% in FY2014 (-1.22 pp).
- Quarterly Operating Margin has moved between 7.64% (Q2 2014) and 29.46% (Q2 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 -3.00 percentage points.
- The best year-over-year quarter for Operating Margin over five years was Q2 2015 (a gain of 16.84 percentage points); the worst was Q2 2014 (a drop of 22.15 percentage points).
- Per Business Quant data, VTR's Operating Margin in the three quarters before Q1 2019 was 15.38% (Q4 2018), 21.81% (Q3 2018) and 26.76% (Q2 2018).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 179.70 Bn | 166.77 Bn | 1.47 Bn | 14.28% |
| 2 | Prologis | 122.17 Bn | 120.56 Bn | - | 43.76% |
| 3 | Simon Property | 80.16 Bn | 78.26 Bn | - | 44.33% |
| 4 | Public Storage | 62.28 Bn | 61.73 Bn | 112.08 Mn | 23.20% |
| 5 | Realty Income | 56.35 Bn | 57.74 Bn | - | - |
| 6 | Ventas | 47.42 Bn | 46.59 Bn | -3.39 Bn | 39.50% |
| 7 | Ryman Hospitality Properties | 47.10 Bn | 45.93 Bn | 266.41 Mn | 14.38% |
| 8 | Vivmark Residential | 37.16 Bn | 36.91 Bn | - | - |
| 9 | Extra Space Storage | 33.05 Bn | 32.83 Bn | 650.96 Mn | 44.04% |
| 10 | Vici Properties | 27.32 Bn | 26.10 Bn | 1.06 Bn | 52.20% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 39.50% |
| Jun 30, 2026 | 39.62% |
| Mar 31, 2026 | 39.29% |
| Dec 31, 2025 | 39.64% |
| Sep 30, 2025 | 41.30% |
| Jun 30, 2025 | 41.39% |
| Mar 31, 2025 | 41.92% |
| Dec 31, 2024 | 80.93% |
| Sep 30, 2024 | 41.51% |
| Jun 30, 2024 | 42.83% |
| Mar 31, 2024 | 0.00% |
| Dec 31, 2023 | 82.01% |
| Sep 30, 2023 | 42.54% |
| Jun 30, 2023 | 43.48% |
| Mar 31, 2023 | 0.00% |
| Dec 31, 2022 | 43.60% |
| Sep 30, 2022 | 44.85% |
| Jun 30, 2022 | 43.60% |
| Mar 31, 2022 | 46.48% |
| Dec 31, 2021 | 41.70% |
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_KEY
import 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();