Gaming & Leisure Properties (GLPI) EBIT (2012 - 2026)
Gaming & Leisure Properties' EBIT came in at $332.39 million for Q2 2026, up 37.3% from $242.06 million a year earlier but down 0.3% from the prior quarter.
Gaming & Leisure Properties (GLPI) EBIT (2012 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Gaming & Leisure Properties reported EBIT of $1.37 billion, up 26.4% year-over-year; for FY2025, it came in at $1.2 billion, up 6.3% from FY2024.
- EBIT has increased in each of the last seven years, with a five-year compound annual growth rate of 8.2% (FY2020 to FY2025).
- Going back by year, EBIT was $1.13 billion in FY2024 (+5.8%), $1.07 billion in FY2023 (+3.8%), $1.03 billion in FY2022 (+22.4%) and $841.77 million in FY2021 (+4.0%).
- The five-year range for quarterly EBIT is $199.8 million (Q1 2022) to $363.39 million (Q4 2025).
- Year-over-year, EBIT has increased for four consecutive quarters, with growth averaging 12.1% over the last eight quarters.
- The fastest year-over-year change in EBIT over five years came in Q3 2022 (growth of 41.1%), and the weakest in Q2 2025 (a decline of 17.5%).
- Business Quant data shows GLPI's EBIT at $333.35 million (Q1 2026), $363.39 million (Q4 2025) and $337.16 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 161.42 Bn | 161.42 Bn | - | - |
| 2 | Prologis | 118.04 Bn | 113.08 Bn | - | 1.25 Bn |
| 3 | Simon Property | 69.04 Bn | 64.89 Bn | - | 762.16 Mn |
| 4 | Public Storage | 57.55 Bn | 56.27 Bn | - | 316.96 Mn |
| 5 | Realty Income | 53.02 Bn | 51.24 Bn | - | 708.40 Mn |
| 6 | Ventas | 40.73 Bn | 39.42 Bn | - | 214.27 Mn |
| 7 | Extra Space Storage | 30.52 Bn | 29.44 Bn | 642.43 Mn | 392.18 Mn |
| 8 | Vici Properties | 25.86 Bn | 23.98 Bn | 1.05 Bn | 735.50 Mn |
| 9 | Vivmark Residential | 23.39 Bn | 23.17 Bn | - | 202.93 Mn |
| 10 | Gaming & Leisure Properties | 11.09 Bn | 9.52 Bn | - | 332.39 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 332.39 Mn |
| Mar 31, 2026 | 333.35 Mn |
| Dec 31, 2025 | 363.39 Mn |
| Sep 30, 2025 | 337.16 Mn |
| Jun 30, 2025 | 242.06 Mn |
| Mar 31, 2025 | 258.83 Mn |
| Dec 31, 2024 | 308.21 Mn |
| Sep 30, 2024 | 271.44 Mn |
| Jun 30, 2024 | 293.43 Mn |
| Mar 31, 2024 | 257.61 Mn |
| Dec 31, 2023 | 295.28 Mn |
| Sep 30, 2023 | 268.30 Mn |
| Jun 30, 2023 | 238.28 Mn |
| Mar 31, 2023 | 266.85 Mn |
| Dec 31, 2022 | 275.46 Mn |
| Sep 30, 2022 | 317.57 Mn |
| Jun 30, 2022 | 237.10 Mn |
| Mar 31, 2022 | 199.80 Mn |
| Dec 31, 2021 | 204.44 Mn |
| Sep 30, 2021 | 225.10 Mn |
Gaming & Leisure Properties EBIT 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=ebit&ticker=GLPI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=GLPI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();