Gaming & Leisure Properties (GLPI) Return on Sales [ROS] (2012 - 2026)
Gaming & Leisure Properties' Return on Sales [ROS] came in at 77.21% for Q2 2026, up 15.91 percentage points from 61.30% a year earlier but down 2.16 percentage points from the prior quarter.
Gaming & Leisure Properties (GLPI) Return on Sales [ROS] (2012 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Gaming & Leisure Properties reported Return on Sales [ROS] of 82.55%, up 13.51 percentage points year-over-year; for FY2025, it came in at 75.34%, up 1.51 percentage points from FY2024.
- Return on Sales [ROS] carries a five-year change of +5.16 percentage points (FY2020 to FY2025).
- Going back by year, Return on Sales [ROS] was 73.83% in FY2024 (-0.37 pp), 74.20% in FY2023 (-4.32 pp), 78.52% in FY2022 (+9.31 pp) and 69.20% in FY2021 (-0.97 pp).
- The five-year range for quarterly Return on Sales [ROS] is 61.30% (Q2 2025) to 95.13% (Q3 2022).
- Year-over-year, Return on Sales [ROS] has increased for four consecutive quarters, with an average year-over-year change of +3.80 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q3 2022 (a gain of 19.77 percentage points), and the weakest in Q3 2023 (a drop of 20.51 percentage points).
- Business Quant data shows GLPI's Return on Sales [ROS] at 79.37% (Q1 2026), 89.28% (Q4 2025) and 84.80% (Q3 2025) in the three quarters before Q2 2026.
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 | Gaming & Leisure Properties | 10.96 Bn | 11.36 Bn | - | 77.21% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 77.21% |
| Mar 31, 2026 | 79.37% |
| Dec 31, 2025 | 89.28% |
| Sep 30, 2025 | 84.80% |
| Jun 30, 2025 | 61.30% |
| Mar 31, 2025 | 65.49% |
| Dec 31, 2024 | 79.11% |
| Sep 30, 2024 | 70.44% |
| Jun 30, 2024 | 77.09% |
| Mar 31, 2024 | 68.52% |
| Dec 31, 2023 | 80.01% |
| Sep 30, 2023 | 74.62% |
| Jun 30, 2023 | 66.82% |
| Mar 31, 2023 | 75.12% |
| Dec 31, 2022 | 81.89% |
| Sep 30, 2022 | 95.13% |
| Jun 30, 2022 | 72.61% |
| Mar 31, 2022 | 63.43% |
| Dec 31, 2021 | 68.53% |
| Sep 30, 2021 | 75.36% |
Gaming & Leisure 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=GLPI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "GLPI", "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=GLPI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();