Gaming & Leisure Properties (GLPI) EBITDA Margin (2012 - 2026)
Gaming & Leisure Properties (GLPI) reported EBITDA Margin of 93.66% for Q2 2026, up 13.75 percentage points from 79.92% a year earlier but down 2.21 percentage points from the prior quarter.
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Analysis
Gaming & Leisure Properties (GLPI) EBITDA Margin (2012 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Gaming & Leisure Properties' EBITDA Margin came in at 99.48%, up 12.61 percentage points year-over-year; for FY2025, it was 93.08%, up 1.40 percentage points from FY2024.
- EBITDA Margin has a five-year change of +1.83 percentage points (FY2020 to FY2025).
- By year, EBITDA Margin came in at 91.68% in FY2024 (-1.71 pp), 93.39% in FY2023 (-4.54 pp), 97.92% in FY2022 (+8.00 pp) and 89.93% in FY2021 (-1.32 pp).
- Five-year quarterly EBITDA Margin spans a low of 79.92% in Q2 2025 and a high of 114.06% in Q3 2022.
- Year over year, EBITDA Margin has now increased in each of the last four quarters, with an average year-over-year change of +2.99 percentage points over the last eight quarters.
- The high point for year-over-year EBITDA Margin in five years was Q3 2022 (a gain of 17.44 percentage points); the low point was Q3 2023 (a drop of 20.10 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at 95.87% (Q1 2026), 106.09% (Q4 2025) and 102.84% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 166.53 Bn | 153.60 Bn | 1.47 Bn | 28.40% |
| 2 | Prologis | 119.08 Bn | 117.47 Bn | - | 74.40% |
| 3 | Simon Property | 72.47 Bn | 69.53 Bn | - | 73.69% |
| 4 | Public Storage | 57.99 Bn | 57.44 Bn | - | 53.64% |
| 5 | Realty Income | 53.21 Bn | 53.82 Bn | - | 88.01% |
| 6 | Ventas | 42.90 Bn | 42.07 Bn | - | 36.44% |
| 7 | Extra Space Storage | 30.61 Bn | 30.61 Bn | - | - |
| 8 | Vici Properties | 25.93 Bn | 24.28 Bn | 1.06 Bn | 53.36% |
| 9 | Vivmark Residential | 22.83 Bn | 22.80 Bn | - | - |
| 10 | Gaming & Leisure Properties | 11.19 Bn | 10.01 Bn | - | 94.51% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 94.51% |
| Mar 31, 2026 | 96.70% |
| Dec 31, 2025 | 106.92% |
| Sep 30, 2025 | 103.70% |
| Jun 30, 2025 | 80.73% |
| Mar 31, 2025 | 83.84% |
| Dec 31, 2024 | 97.39% |
| Sep 30, 2024 | 88.83% |
| Jun 30, 2024 | 95.80% |
| Mar 31, 2024 | 87.49% |
| Dec 31, 2023 | 99.41% |
| Sep 30, 2023 | 94.63% |
| Jun 30, 2023 | 86.85% |
| Mar 31, 2023 | 95.21% |
| Dec 31, 2022 | 101.32% |
| Sep 30, 2022 | 114.76% |
| Jun 30, 2022 | 92.75% |
| Mar 31, 2022 | 84.99% |
| Dec 31, 2021 | 91.44% |
| Sep 30, 2021 | 97.44% |
API Access
Gaming & Leisure Properties EBITDA 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=ebitda-margin&ticker=GLPI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-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=ebitda-margin&ticker=GLPI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();