Gaming & Leisure Properties (GLPI) Shares Outstanding (2012 - 2026)
Gaming & Leisure Properties (GLPI) reported Shares Outstanding of 285.73 million for Q2 2026, up 3.0% from 277.44 million a year earlier and up 0.9% from the prior quarter.
Gaming & Leisure Properties (GLPI) Shares Outstanding (2012 - 2026) Analysis & Trends
For FY2025, Gaming & Leisure Properties posted Shares Outstanding of 279.61 million, up 2.5% from FY2024.
- Shares Outstanding has increased for 12 consecutive years, with a five-year compound annual growth rate of 5.0% (FY2020 to FY2025).
- By year, Shares Outstanding came in at 272.8 million in FY2024 (+3.3%), 264.05 million in FY2023 (+4.5%), 252.72 million in FY2022 (+7.3%) and 235.47 million in FY2021 (+7.6%).
- The Q2 2026 figure ranks as the highest quarterly Shares Outstanding in data going back to Q3 2012.
- Year over year, Shares Outstanding has now increased in each of the last 50 quarters, with growth averaging 2.8% over the last eight quarters.
- Across the past five years, year-over-year growth in Shares Outstanding ran from 1.2% in Q1 2025 to 9.0% in Q3 2022.
- Per Business Quant data, the three quarters before Q2 2026 came in at 283.22 million (Q1 2026), 279.61 million (Q4 2025) and 283.01 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 166.01 Bn | 148.52 Bn | 1.39 Bn | 709.73 Mn |
| 2 | Prologis | 121.16 Bn | 125.55 Bn | - | 933.09 Mn |
| 3 | Simon Property | 65.49 Bn | 66.75 Bn | - | 326.37 Mn |
| 4 | Realty Income | 51.38 Bn | 53.76 Bn | - | 932.31 Mn |
| 5 | Public Storage | 49.67 Bn | 48.75 Bn | - | 175.56 Mn |
| 6 | Ventas | 43.61 Bn | 42.81 Bn | - | 489.29 Mn |
| 7 | Extra Space Storage | 27.79 Bn | 27.79 Bn | 642.43 Mn | 210.96 Mn |
| 8 | Vici Properties | 25.29 Bn | 23.41 Bn | 1.05 Bn | 1.09 Bn |
| 9 | Vivmark Residential | 22.78 Bn | 22.97 Bn | - | 374.18 Mn |
| 10 | Gaming & Leisure Properties | 11.05 Bn | 11.44 Bn | - | 285.73 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 285.73 Mn |
| Mar 31, 2026 | 283.22 Mn |
| Dec 31, 2025 | 279.61 Mn |
| Sep 30, 2025 | 283.01 Mn |
| Jun 30, 2025 | 277.44 Mn |
| Mar 31, 2025 | 274.83 Mn |
| Dec 31, 2024 | 272.80 Mn |
| Sep 30, 2024 | 273.79 Mn |
| Jun 30, 2024 | 271.50 Mn |
| Mar 31, 2024 | 271.49 Mn |
| Dec 31, 2023 | 264.05 Mn |
| Sep 30, 2023 | 263.24 Mn |
| Jun 30, 2023 | 262.49 Mn |
| Mar 31, 2023 | 261.79 Mn |
| Dec 31, 2022 | 252.72 Mn |
| Sep 30, 2022 | 256.56 Mn |
| Jun 30, 2022 | 247.54 Mn |
| Mar 31, 2022 | 247.53 Mn |
| Dec 31, 2021 | 235.47 Mn |
| Sep 30, 2021 | 235.27 Mn |
Gaming & Leisure Properties Shares Outstanding 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=shares-outstanding&ticker=GLPI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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=shares-outstanding&ticker=GLPI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();