Gaming & Leisure Properties (GLPI) Revenue (2012 - 2026)
Gaming & Leisure Properties' Revenue came in at $430.52 million for Q2 2026, up 9.0% from $394.88 million a year earlier and up 2.5% from the prior quarter.
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Analysis
Gaming & Leisure Properties (GLPI) Revenue (2012 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Gaming & Leisure Properties reported Revenue of $1.66 billion, up 5.8% year-over-year; for FY2025, it was $1.59 billion, up 4.1% from FY2024.
- Revenue has increased in each of the last five years, with a five-year compound annual growth rate of 6.7% (FY2020 to FY2025).
- Going back by year, Revenue was $1.53 billion in FY2024 (+6.3%), $1.44 billion in FY2023 (+9.8%), $1.31 billion in FY2022 (+7.8%) and $1.22 billion in FY2021 (+5.5%).
- The Q2 2026 figure represents the highest quarterly Revenue in data going back to Q3 2012.
- Year-over-year, Revenue has increased for 18 consecutive quarters, with growth averaging 5.6% over the last eight quarters.
- The fastest year-over-year change in Revenue over five years came in Q1 2023 (growth of 12.8%), and the weakest in Q3 2021 (a decline of 2.9%).
- Business Quant data shows GLPI's Revenue at $419.99 million (Q1 2026), $407.03 million (Q4 2025) and $397.61 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 167.95 Bn | 150.46 Bn | 1.39 Bn | 3.54 Bn |
| 2 | Prologis | 123.54 Bn | 127.93 Bn | - | 2.43 Bn |
| 3 | Simon Property | 66.76 Bn | 68.02 Bn | - | 1.79 Bn |
| 4 | Realty Income | 52.37 Bn | 54.76 Bn | - | 1.55 Bn |
| 5 | Public Storage | 50.03 Bn | 49.11 Bn | - | 1.23 Bn |
| 6 | Ventas | 44.65 Bn | 43.84 Bn | - | 1.73 Bn |
| 7 | Extra Space Storage | 27.81 Bn | 27.81 Bn | 642.43 Mn | 874.15 Mn |
| 8 | Vici Properties | 25.53 Bn | 23.65 Bn | 1.05 Bn | 1.06 Bn |
| 9 | Vivmark Residential | 23.01 Bn | 23.20 Bn | - | - |
| 10 | Gaming & Leisure Properties | 11.24 Bn | 11.64 Bn | - | 430.52 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 430.52 Mn |
| Mar 31, 2026 | 419.99 Mn |
| Dec 31, 2025 | 407.03 Mn |
| Sep 30, 2025 | 397.61 Mn |
| Jun 30, 2025 | 394.88 Mn |
| Mar 31, 2025 | 395.24 Mn |
| Dec 31, 2024 | 389.62 Mn |
| Sep 30, 2024 | 385.34 Mn |
| Jun 30, 2024 | 380.63 Mn |
| Mar 31, 2024 | 375.96 Mn |
| Dec 31, 2023 | 369.03 Mn |
| Sep 30, 2023 | 359.56 Mn |
| Jun 30, 2023 | 356.59 Mn |
| Mar 31, 2023 | 355.21 Mn |
| Dec 31, 2022 | 336.39 Mn |
| Sep 30, 2022 | 333.82 Mn |
| Jun 30, 2022 | 326.51 Mn |
| Mar 31, 2022 | 314.97 Mn |
| Dec 31, 2021 | 298.34 Mn |
| Sep 30, 2021 | 298.71 Mn |
API Access
Gaming & Leisure Properties 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=revenue&ticker=GLPI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=revenue&ticker=GLPI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();