Gaming & Leisure Properties (GLPI) EPS (Diluted) (2012 - 2026)
Gaming & Leisure Properties (GLPI) posted EPS (Diluted) of $0.80 for Q2 2026, up 46.6% from $0.55 a year earlier but down 2.3% from the prior quarter.
Gaming & Leisure Properties (GLPI) EPS (Diluted) (2012 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EPS (Diluted) at Gaming & Leisure Properties was $3.39, up 31.0% year-over-year; for FY2025, it was $2.95, up 2.7% from FY2024.
- Annual EPS (Diluted) has increased for four consecutive years, with a five-year compound annual growth rate of 5.1% (FY2020 to FY2025).
- In prior years, Gaming & Leisure Properties' EPS (Diluted) was $2.87 in FY2024 (+3.5%), $2.77 in FY2023 (+2.7%), $2.70 in FY2022 (+19.3%) and $2.26 in FY2021 (-1.8%).
- Quarterly EPS (Diluted) has run from a low of $0.48 in Q1 2022 to a high of $0.95 in Q4 2025 over five years.
- On a year-over-year basis, EPS (Diluted) has increased in each of the last four quarters, with growth averaging 11.3% over the last eight quarters.
- The strongest year-over-year quarter for EPS (Diluted) in the past five years was Q4 2022, with growth of 51.1%; the weakest was Q4 2021, with a decline of 34.3%.
- According to Business Quant data, EPS (Diluted) for the three prior quarters was $0.82 (Q1 2026), $0.95 (Q4 2025) and $0.85 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 170.43 Bn | 151.92 Bn | 1.39 Bn | 0.60 |
| 2 | Prologis | 117.84 Bn | 112.88 Bn | - | 1.11 |
| 3 | Simon Property | 69.14 Bn | 64.99 Bn | - | 1.48 |
| 4 | Public Storage | 53.89 Bn | 52.88 Bn | - | 2.55 |
| 5 | Realty Income | 53.27 Bn | 51.49 Bn | - | 0.37 |
| 6 | Ventas | 42.79 Bn | 41.47 Bn | - | 0.14 |
| 7 | Extra Space Storage | 30.25 Bn | 29.16 Bn | 642.43 Mn | 1.20 |
| 8 | Vici Properties | 26.16 Bn | 24.28 Bn | 1.05 Bn | 0.48 |
| 9 | Vivmark Residential | 23.48 Bn | 23.26 Bn | - | 0.30 |
| 10 | Gaming & Leisure Properties | 11.25 Bn | 9.69 Bn | - | 0.80 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 0.80 |
| Mar 31, 2026 | 0.82 |
| Dec 31, 2025 | 0.95 |
| Sep 30, 2025 | 0.85 |
| Jun 30, 2025 | 0.55 |
| Mar 31, 2025 | 0.60 |
| Dec 31, 2024 | 0.79 |
| Sep 30, 2024 | 0.67 |
| Jun 30, 2024 | 0.77 |
| Mar 31, 2024 | 0.64 |
| Dec 31, 2023 | 0.80 |
| Sep 30, 2023 | 0.70 |
| Jun 30, 2023 | 0.59 |
| Mar 31, 2023 | 0.70 |
| Dec 31, 2022 | 0.76 |
| Sep 30, 2022 | 0.85 |
| Jun 30, 2022 | 0.61 |
| Mar 31, 2022 | 0.48 |
| Dec 31, 2021 | 0.51 |
| Sep 30, 2021 | 0.63 |
Gaming & Leisure Properties EPS (Diluted) 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=eps-diluted&ticker=GLPI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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=eps-diluted&ticker=GLPI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();