Gaming & Leisure Properties (GLPI) Rent Expense (2017 - 2026)
Gaming & Leisure Properties (GLPI) posted Rent Expense of $14.15 million for Q2 2026, up 1.5% from $13.94 million a year earlier and up 2.5% from the prior quarter.
Powered by 
Analysis
Gaming & Leisure Properties (GLPI) Rent Expense (2017 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Rent Expense at Gaming & Leisure Properties was $55.86 million, up 8.5% year-over-year; for FY2025, it was $55.41 million, up 16.2% from FY2024.
- Annual Rent Expense shows a five-year compound annual growth rate of 13.8% (FY2020 to FY2025).
- In prior years, Gaming & Leisure Properties' Rent Expense was $47.67 million in FY2024 (-0.9%), $48.12 million in FY2023 (-1.9%), $49.05 million in FY2022 (+31.2%) and $37.39 million in FY2021 (+28.7%).
- The Q2 2026 figure stands as the highest quarterly Rent Expense since Q2 2019.
- On a year-over-year basis, Rent Expense has increased in each of the last seven quarters, with growth averaging 8.3% over the last eight quarters.
- The strongest year-over-year quarter for Rent Expense in the past five years was Q1 2022, with growth of 103.5%; the weakest was Q1 2023, with a decline of 12.3%.
- According to Business Quant data, Rent Expense for the three prior quarters was $13.8 million (Q1 2026), $14.13 million (Q4 2025) and $13.79 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Rental Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 167.90 Bn | 150.42 Bn | 1.39 Bn | - |
| 2 | Prologis | 123.74 Bn | 128.13 Bn | - | - |
| 3 | Simon Property | 66.68 Bn | 67.94 Bn | - | - |
| 4 | Realty Income | 52.20 Bn | 54.59 Bn | - | - |
| 5 | Public Storage | 50.15 Bn | 49.24 Bn | - | - |
| 6 | Ventas | 44.59 Bn | 43.78 Bn | - | - |
| 7 | Extra Space Storage | 28.21 Bn | 28.21 Bn | 642.43 Mn | - |
| 8 | Vici Properties | 25.53 Bn | 23.65 Bn | 1.05 Bn | - |
| 9 | Vivmark Residential | 23.00 Bn | 23.19 Bn | - | - |
| 10 | Gaming & Leisure Properties | 11.13 Bn | 11.53 Bn | - | 14.15 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 14.15 Mn |
| Mar 31, 2026 | 13.80 Mn |
| Dec 31, 2025 | 14.13 Mn |
| Sep 30, 2025 | 13.79 Mn |
| Jun 30, 2025 | 13.94 Mn |
| Mar 31, 2025 | 13.56 Mn |
| Dec 31, 2024 | 12.23 Mn |
| Sep 30, 2024 | 11.76 Mn |
| Jun 30, 2024 | 11.87 Mn |
| Mar 31, 2024 | 11.82 Mn |
| Dec 31, 2023 | 11.80 Mn |
| Sep 30, 2023 | 12.41 Mn |
| Jun 30, 2023 | 11.89 Mn |
| Mar 31, 2023 | 12.01 Mn |
| Dec 31, 2022 | 11.87 Mn |
| Sep 30, 2022 | 11.75 Mn |
| Jun 30, 2022 | 11.72 Mn |
| Mar 31, 2022 | 13.70 Mn |
| Dec 31, 2021 | 13.05 Mn |
| Sep 30, 2021 | 9.41 Mn |
API Access
Gaming & Leisure Properties Rent Expense 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=rent-expense&ticker=GLPI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "rent-expense", "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=rent-expense&ticker=GLPI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();