Gaming & Leisure Properties (GLPI) Net Income (2012 - 2026)
Gaming & Leisure Properties (GLPI) recorded Net Income of $234.94 million in Q2 2026, up 50.4% from $156.17 million a year earlier but down 1.9% from the prior quarter.
Gaming & Leisure Properties (GLPI) Net Income (2012 - 2026) Analysis & Trends
On a TTM basis, Gaming & Leisure Properties' Net Income came in at $998.18 million as of Jun 30, 2026, up 34.8% year-over-year; for FY2025, it was $850.36 million, up 5.3% from FY2024.
- Annual Net Income has increased for seven straight years, with a five-year compound annual growth rate of 11.0% (FY2020 to FY2025).
- Across earlier years, Net Income came in at $807.65 million in FY2024 (+6.9%), $755.37 million in FY2023 (+7.4%), $703.29 million in FY2022 (+31.7%) and $534.09 million in FY2021 (+5.6%).
- Quarterly Net Income has ranged from $119.63 million in Q4 2021 to $275.36 million in Q4 2025 over the past five years.
- On a year-over-year basis, Net Income has increased for four consecutive quarters, with growth averaging 14.5% over the last eight quarters.
- Peak year-over-year performance for Net Income in the last five years was growth of 66.8% in Q4 2022, against a decline of 29.4% in Q4 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $239.4 million (Q1 2026), $275.36 million (Q4 2025) and $248.48 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Income (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 166.01 Bn | 148.52 Bn | 1.39 Bn | 462.98 Mn |
| 2 | Prologis | 121.16 Bn | 125.55 Bn | - | 1.12 Bn |
| 3 | Simon Property | 65.49 Bn | 66.75 Bn | - | 3.54 Bn |
| 4 | Realty Income | 51.38 Bn | 53.76 Bn | - | 370.51 Mn |
| 5 | Public Storage | 49.67 Bn | 48.75 Bn | - | 502.94 Mn |
| 6 | Ventas | 43.61 Bn | 42.81 Bn | - | 72.22 Mn |
| 7 | Extra Space Storage | 27.79 Bn | 27.79 Bn | 642.43 Mn | 275.88 Mn |
| 8 | Vici Properties | 25.29 Bn | 23.41 Bn | 1.05 Bn | 535.31 Mn |
| 9 | Vivmark Residential | 22.78 Bn | 22.97 Bn | - | 117.74 Mn |
| 10 | Gaming & Leisure Properties | 11.05 Bn | 11.44 Bn | - | 234.94 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 234.94 Mn |
| Mar 31, 2026 | 239.40 Mn |
| Dec 31, 2025 | 275.36 Mn |
| Sep 30, 2025 | 248.48 Mn |
| Jun 30, 2025 | 156.17 Mn |
| Mar 31, 2025 | 170.35 Mn |
| Dec 31, 2024 | 223.61 Mn |
| Sep 30, 2024 | 190.10 Mn |
| Jun 30, 2024 | 214.41 Mn |
| Mar 31, 2024 | 179.53 Mn |
| Dec 31, 2023 | 217.26 Mn |
| Sep 30, 2023 | 189.31 Mn |
| Jun 30, 2023 | 160.14 Mn |
| Mar 31, 2023 | 188.67 Mn |
| Dec 31, 2022 | 199.59 Mn |
| Sep 30, 2022 | 188.67 Mn |
| Jun 30, 2022 | 155.79 Mn |
| Mar 31, 2022 | 121.69 Mn |
| Dec 31, 2021 | 119.63 Mn |
| Sep 30, 2021 | 149.06 Mn |
Gaming & Leisure Properties Net Income 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=net-income&ticker=GLPI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-income", "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=net-income&ticker=GLPI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();