Gaming & Leisure Properties (GLPI) Rental Revenue (2013 - 2026)
Gaming & Leisure Properties (GLPI) posted Rental Revenue of $370.96 million for Q3 2026, up 8.5% from $341.76 million a year earlier and up 1.3% from the prior quarter.
Gaming & Leisure Properties (GLPI) Rental Revenue (2013 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Rental Revenue at Gaming & Leisure Properties was $1.44 billion, up 6.2% year-over-year; for FY2025, it was $1.37 billion, up 2.8% from FY2024.
- Annual Rental Revenue has increased for ten consecutive years, with a five-year compound annual growth rate of 5.8% (FY2020 to FY2025).
- In prior years, Gaming & Leisure Properties' Rental Revenue was $1.33 billion in FY2024 (+3.4%), $1.29 billion in FY2023 (+9.6%), $1.17 billion in FY2022 (+6.0%) and $1.11 billion in FY2021 (+7.3%).
- The Q3 2026 figure stands as the highest quarterly Rental Revenue in data going back to Q4 2013.
- On a year-over-year basis, Rental Revenue has increased in each of the last 25 quarters, with growth averaging 4.3% over the last eight quarters.
- The year-over-year growth in Rental Revenue has ranged between 1.8% (Q4 2024) and 10.5% (Q1 2023) over the last five years.
- According to Business Quant data, Rental Revenue for the three prior quarters was $366.2 million (Q2 2026), $356.52 million (Q1 2026) and $346.41 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Rental Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 177.74 Bn | 163.76 Bn | 1.47 Bn | 488.64 Mn |
| 2 | Prologis | 120.05 Bn | 114.00 Bn | - | 2.21 Bn |
| 3 | Simon Property | 74.18 Bn | 70.24 Bn | - | 1.66 Bn |
| 4 | Public Storage | 62.09 Bn | 60.82 Bn | - | - |
| 5 | Realty Income | 55.76 Bn | 54.03 Bn | - | 1.48 Bn |
| 6 | Ventas | 45.60 Bn | 44.27 Bn | - | 362.72 Mn |
| 7 | Extra Space Storage | 33.58 Bn | 32.49 Bn | 650.96 Mn | 760.84 Mn |
| 8 | Vici Properties | 27.29 Bn | 25.64 Bn | 1.06 Bn | - |
| 9 | Vivmark Residential | 24.52 Bn | 24.30 Bn | - | 785.05 Mn |
| 10 | Gaming & Leisure Properties | 11.31 Bn | 10.33 Bn | - | 370.96 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 370.96 Mn |
| Jun 30, 2026 | 366.20 Mn |
| Mar 31, 2026 | 356.52 Mn |
| Dec 31, 2025 | 346.41 Mn |
| Sep 30, 2025 | 341.76 Mn |
| Jun 30, 2025 | 339.53 Mn |
| Mar 31, 2025 | 340.25 Mn |
| Dec 31, 2024 | 333.98 Mn |
| Sep 30, 2024 | 333.24 Mn |
| Jun 30, 2024 | 332.82 Mn |
| Mar 31, 2024 | 330.58 Mn |
| Dec 31, 2023 | 327.95 Mn |
| Sep 30, 2023 | 321.21 Mn |
| Jun 30, 2023 | 319.24 Mn |
| Mar 31, 2023 | 317.97 Mn |
| Dec 31, 2022 | 299.25 Mn |
| Sep 30, 2022 | 296.78 Mn |
| Jun 30, 2022 | 289.57 Mn |
| Mar 31, 2022 | 287.78 Mn |
| Dec 31, 2021 | 285.46 Mn |
Gaming & Leisure Properties Rental Revenue 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=rental-revenue&ticker=GLPI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "rental-revenue", "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=rental-revenue&ticker=GLPI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();