Gaming & Leisure Properties (GLPI) Operating Margin (2012 - 2026)
Gaming & Leisure Properties' Operating Margin was 77.21% in Q2 2026, up 15.91 percentage points from 61.30% a year earlier but down 2.16 percentage points from the prior quarter.
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Analysis
Gaming & Leisure Properties (GLPI) Operating Margin (2012 - 2026) Analysis & Trends
On a trailing twelve-month basis, Gaming & Leisure Properties' Operating Margin was 82.55% through Jun 30, 2026, up 13.51 percentage points year-over-year; for FY2025, it came in at 75.34%, up 1.51 percentage points from FY2024.
- Operating Margin shows a five-year change of +5.16 percentage points (FY2020 to FY2025).
- In earlier years, Operating Margin 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).
- Quarterly Operating Margin has moved between 61.30% (Q2 2025) and 95.13% (Q3 2022) over five years.
- Compared with a year earlier, Operating Margin has increased for four straight quarters, with an average year-over-year change of +3.80 percentage points over the last eight quarters.
- The best year-over-year quarter for Operating Margin over five years was Q3 2022 (a gain of 19.77 percentage points); the worst was Q3 2023 (a drop of 20.51 percentage points).
- Per Business Quant data, GLPI's Operating Margin in the three quarters before Q2 2026 was 79.37% (Q1 2026), 89.28% (Q4 2025) and 84.80% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 167.90 Bn | 150.42 Bn | 1.39 Bn | -51.62% |
| 2 | Prologis | 123.74 Bn | 128.13 Bn | - | 51.59% |
| 3 | Simon Property | 66.68 Bn | 67.94 Bn | - | 49.72% |
| 4 | Realty Income | 52.20 Bn | 54.59 Bn | - | - |
| 5 | Public Storage | 50.15 Bn | 49.24 Bn | - | 37.85% |
| 6 | Ventas | 44.59 Bn | 43.78 Bn | - | - |
| 7 | Extra Space Storage | 28.21 Bn | 28.21 Bn | 642.43 Mn | 44.86% |
| 8 | Vici Properties | 25.53 Bn | 23.65 Bn | 1.05 Bn | 69.48% |
| 9 | Vivmark Residential | 23.00 Bn | 23.19 Bn | - | - |
| 10 | Gaming & Leisure Properties | 11.13 Bn | 11.53 Bn | - | 77.21% |
Historic Data
Download Data
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% |
API Access
Gaming & Leisure Properties 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=GLPI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "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=operating-margin&ticker=GLPI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();