Ventas (VTR) Return on Sales [ROS] (2009 - 2026)
Ventas (VTR) reported Return on Sales [ROS] of 12.39% for Q2 2026, down 1.19 percentage points from 13.58% a year earlier but up 0.83 percentage points from the prior quarter.
Ventas (VTR) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Ventas' Return on Sales [ROS] came in at 13.03%, down 0.28 percentage points year-over-year; for FY2025, it came in at 14.00%, up 1.92 percentage points from FY2024.
- Return on Sales [ROS] has increased for four consecutive years, though with a five-year change of -0.50 percentage points (FY2020 to FY2025).
- By year, Return on Sales [ROS] came in at 12.08% in FY2024 (+1.89 pp), 10.19% in FY2023 (+1.15 pp), 9.04% in FY2022 (+1.79 pp) and 7.25% in FY2021 (-7.24 pp).
- Five-year quarterly Return on Sales [ROS] spans a low of 2.29% in Q3 2021 and a high of 18.61% in Q2 2023.
- Year over year, Return on Sales [ROS] gained in five of the last eight quarters, with an average year-over-year change of +2.47 percentage points.
- The high point for year-over-year Return on Sales [ROS] in five years was Q2 2023 (a gain of 11.76 percentage points); the low point was Q4 2021 (a drop of 15.83 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at 11.56% (Q1 2026), 14.74% (Q4 2025) and 13.60% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (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 | - | 48.67% |
| 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 | - | -52.20% |
| 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 Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=VTR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=VTR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();