Gaming & Leisure Properties (GLPI) Cash & Equivalents (2012 - 2026)
Gaming & Leisure Properties (GLPI) reported Cash & Equivalents of $165.75 million for Q3 2026, down 78.0% from $751.72 million a year earlier and down 48.0% from the prior quarter.
Powered by 
Analysis
Gaming & Leisure Properties (GLPI) Cash & Equivalents (2012 - 2026) Analysis & Trends
At the end of FY2025, Gaming & Leisure Properties posted Cash & Equivalents of $224.31 million, down 51.5% from FY2024.
- Cash & Equivalents has a five-year compound annual growth rate of -14.3% (FY2020 to FY2025).
- By year, Cash & Equivalents came in at $462.63 million in FY2024 (-32.4%), $683.98 million in FY2023 (+186.1%), $239.08 million in FY2022 (-67.0%) and $724.6 million in FY2021 (+49.0%).
- The Q3 2026 figure ranks as the lowest quarterly Cash & Equivalents since Q2 2024.
- Year over year, Cash & Equivalents gained in three of the last eight quarters, with growth averaging 53.1%.
- The high point for year-over-year Cash & Equivalents in five years was Q2 2024 (growth of 899.9%); the low point was Q2 2022 (a decline of 95.7%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $319 million (Q2 2026), $274.51 million (Q1 2026) and $224.31 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 177.74 Bn | 163.76 Bn | 1.47 Bn | 2.27 Bn |
| 2 | Prologis | 120.05 Bn | 114.00 Bn | - | 2.27 Bn |
| 3 | Simon Property | 74.18 Bn | 70.24 Bn | - | 1.02 Bn |
| 4 | Public Storage | 62.09 Bn | 60.82 Bn | - | 560.38 Mn |
| 5 | Realty Income | 55.76 Bn | 54.03 Bn | - | 368.53 Mn |
| 6 | Ventas | 45.60 Bn | 44.27 Bn | - | 202.01 Mn |
| 7 | Extra Space Storage | 33.58 Bn | 32.49 Bn | 650.96 Mn | 114.82 Mn |
| 8 | Vici Properties | 27.29 Bn | 25.64 Bn | 1.06 Bn | 270.32 Mn |
| 9 | Vivmark Residential | 24.52 Bn | 24.30 Bn | - | 36.41 Mn |
| 10 | Gaming & Leisure Properties | 11.31 Bn | 10.33 Bn | - | 165.75 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 165.75 Mn |
| Jun 30, 2026 | 319.00 Mn |
| Mar 31, 2026 | 274.51 Mn |
| Dec 31, 2025 | 224.31 Mn |
| Sep 30, 2025 | 751.72 Mn |
| Jun 30, 2025 | 604.16 Mn |
| Mar 31, 2025 | 168.88 Mn |
| Dec 31, 2024 | 462.63 Mn |
| Sep 30, 2024 | 494.14 Mn |
| Jun 30, 2024 | 94.49 Mn |
| Mar 31, 2024 | 211.53 Mn |
| Dec 31, 2023 | 683.98 Mn |
| Sep 30, 2023 | 81.15 Mn |
| Jun 30, 2023 | 9.45 Mn |
| Mar 31, 2023 | 6.82 Mn |
| Dec 31, 2022 | 239.08 Mn |
| Sep 30, 2022 | 59.03 Mn |
| Jun 30, 2022 | 6.29 Mn |
| Mar 31, 2022 | 156.02 Mn |
| Dec 31, 2021 | 724.60 Mn |
API Access
Gaming & Leisure Properties Cash & Equivalents 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=cash-and-equivalents&ticker=GLPI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=GLPI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();