Gaming & Leisure Properties (GLPI) Long-Term Debt Repayments (2014 - 2026)
Gaming & Leisure Properties (GLPI) reported Long-Term Debt Repayments of $902,000 for Q2 2026, compared with $30,000 a year earlier and down 99.9% from the prior quarter.
Gaming & Leisure Properties (GLPI) Long-Term Debt Repayments (2014 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Gaming & Leisure Properties' Long-Term Debt Repayments came in at $2.26 billion, up 80.5% year-over-year; for FY2025, it was $1.83 billion, up 293.9% from FY2024.
- Long-Term Debt Repayments has a five-year compound annual growth rate of -2.5% (FY2020 to FY2025).
- By year, Long-Term Debt Repayments came in at $463.62 million in FY2024 (-20.8%), $585.15 million in FY2023 (-54.0%), $1.27 billion in FY2022 (+249.8%) and $363.39 million in FY2021 (-82.5%).
- Five-year quarterly Long-Term Debt Repayments spans a low of $30,000 in Q2 2025 and a high of $1.28 billion in Q1 2026.
- Year over year, Long-Term Debt Repayments gained in two of the last four quarters, with growth averaging 17.9%.
- The high point for year-over-year Long-Term Debt Repayments in five years was Q3 2025 (growth of 143.7%); the low point was Q4 2022 (a decline of 100.0%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $1.28 billion (Q1 2026), $865,000 (Q4 2025) and $975.07 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 166.01 Bn | 148.52 Bn | 1.39 Bn | 1.12 Bn |
| 2 | Prologis | 121.16 Bn | 125.55 Bn | - | - |
| 3 | Simon Property | 65.49 Bn | 66.75 Bn | - | 1.09 Bn |
| 4 | Realty Income | 51.38 Bn | 53.76 Bn | - | 600.00 Mn |
| 5 | Public Storage | 49.67 Bn | 48.75 Bn | - | 34,000.00 |
| 6 | Ventas | 43.61 Bn | 42.81 Bn | - | 868.15 Mn |
| 7 | Extra Space Storage | 27.79 Bn | 27.79 Bn | 642.43 Mn | 6.00 Bn |
| 8 | Vici Properties | 25.29 Bn | 23.41 Bn | 1.05 Bn | - |
| 9 | Vivmark Residential | 22.78 Bn | 22.97 Bn | - | - |
| 10 | Gaming & Leisure Properties | 11.05 Bn | 11.44 Bn | - | 902,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 902,000.00 |
| Mar 31, 2026 | 1.28 Bn |
| Dec 31, 2025 | 865,000.00 |
| Sep 30, 2025 | 975.07 Mn |
| Jun 30, 2025 | 30,000.00 |
| Mar 31, 2025 | 850.05 Mn |
| Dec 31, 2024 | 40,000.00 |
| Sep 30, 2024 | 400.04 Mn |
| Jun 30, 2024 | 39,000.00 |
| Mar 31, 2024 | 63.50 Mn |
| Dec 31, 2023 | 10.02 Mn |
| Sep 30, 2023 | 15.05 Mn |
| Jun 30, 2023 | 60.04 Mn |
| Mar 31, 2023 | 500.04 Mn |
| Dec 31, 2022 | 36,000.00 |
| Sep 30, 2022 | 394.04 Mn |
| Jun 30, 2022 | 454.05 Mn |
| Mar 31, 2022 | 422.93 Mn |
| Dec 31, 2021 | 363.29 Mn |
| Sep 30, 2021 | 34,000.00 |
Gaming & Leisure Properties Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=GLPI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=GLPI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();