Epr Properties (EPR) Return on Sales [ROS] (2009 - 2026)
Epr Properties (EPR) posted Return on Sales [ROS] of 54.59% for Q2 2026, down 7.89 percentage points from 62.48% a year earlier and down 0.92 percentage points from the prior quarter.
Epr Properties (EPR) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Return on Sales [ROS] at Epr Properties was 55.09%, up 5.74 percentage points year-over-year; for FY2025, it was 57.67%, up 12.45 percentage points from FY2024.
- Annual Return on Sales [ROS] shows a five-year change of +45.10 percentage points (FY2020 to FY2025).
- In prior years, Epr Properties' Return on Sales [ROS] was 45.22% in FY2024 (+1.80 pp), 43.42% in FY2023 (-3.84 pp), 47.26% in FY2022 (-5.18 pp) and 52.44% in FY2021 (+39.87 pp).
- Quarterly Return on Sales [ROS] has run from a low of 25.53% in Q4 2024 to a high of 65.52% in Q4 2021 over five years.
- On a year-over-year basis, Return on Sales [ROS] increased in four of the last eight quarters, with an average year-over-year change of +2.80 percentage points.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q3 2021, with a gain of 93.47 percentage points; the weakest was Q4 2022, with a drop of 21.95 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was 55.51% (Q1 2026), 56.75% (Q4 2025) and 53.54% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 164.16 Bn | 146.67 Bn | 1.39 Bn | -51.62% |
| 2 | Prologis | 120.28 Bn | 124.68 Bn | - | 51.59% |
| 3 | Simon Property | 68.97 Bn | 70.18 Bn | - | 43.38% |
| 4 | Realty Income | 51.22 Bn | 53.60 Bn | - | 45.77% |
| 5 | Public Storage | 49.85 Bn | 48.94 Bn | - | 37.85% |
| 6 | Ventas | 43.09 Bn | 42.28 Bn | - | 12.39% |
| 7 | Extra Space Storage | 28.15 Bn | 28.15 Bn | 642.43 Mn | 44.86% |
| 8 | Vici Properties | 24.95 Bn | 23.07 Bn | 1.05 Bn | 69.48% |
| 9 | Vivmark Residential | 22.41 Bn | 22.60 Bn | - | - |
| 10 | Epr Properties | 4.33 Bn | 4.33 Bn | - | 54.59% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 54.59% |
| Mar 31, 2026 | 55.51% |
| Dec 31, 2025 | 56.75% |
| Sep 30, 2025 | 53.54% |
| Jun 30, 2025 | 62.48% |
| Mar 31, 2025 | 58.05% |
| Dec 31, 2024 | 25.53% |
| Sep 30, 2024 | 51.36% |
| Jun 30, 2024 | 45.86% |
| Mar 31, 2024 | 58.80% |
| Dec 31, 2023 | 47.23% |
| Sep 30, 2023 | 46.10% |
| Jun 30, 2023 | 26.69% |
| Mar 31, 2023 | 53.50% |
| Dec 31, 2022 | 43.57% |
| Sep 30, 2022 | 51.65% |
| Jun 30, 2022 | 46.04% |
| Mar 31, 2022 | 48.18% |
| Dec 31, 2021 | 65.52% |
| Sep 30, 2021 | 53.17% |
Epr Properties 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=EPR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "EPR", "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=EPR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();