Gaming & Leisure Properties (GLPI) Interest Expenses (2014 - 2026)
Gaming & Leisure Properties (GLPI) recorded Interest Expenses of $100.71 million in Q2 2026, up 12.0% from $89.93 million a year earlier and up 5.1% from the prior quarter.
Gaming & Leisure Properties (GLPI) Interest Expenses (2014 - 2026) Analysis & Trends
On a TTM basis, Gaming & Leisure Properties' Interest Expenses came in at $383.24 million as of Jun 30, 2026, up 0.7% year-over-year; for FY2025, it came in at $373.88 million, up 1.9% from FY2024.
- Annual Interest Expenses has increased for five straight years, with a five-year compound annual growth rate of 5.8% (FY2020 to FY2025).
- Across earlier years, Interest Expenses came in at $366.9 million in FY2024 (+13.5%), $323.39 million in FY2023 (+4.6%), $309.29 million in FY2022 (+9.3%) and $283.04 million in FY2021 (+0.3%).
- The Q2 2026 figure is the highest quarterly Interest Expenses in data going back to Q1 2014.
- On a year-over-year basis, Interest Expenses rose in five of the last eight quarters, with growth averaging 7.2%.
- Peak year-over-year performance for Interest Expenses in the last five years was growth of 19.9% in Q3 2024, against a decline of 5.3% in Q4 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $95.86 million (Q1 2026), $92.62 million (Q4 2025) and $94.06 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 166.01 Bn | 148.52 Bn | 1.39 Bn | - |
| 2 | Prologis | 121.16 Bn | 125.55 Bn | - | 276.31 Mn |
| 3 | Simon Property | 65.49 Bn | 66.75 Bn | - | 272.33 Mn |
| 4 | Realty Income | 51.38 Bn | 53.76 Bn | - | 312.08 Mn |
| 5 | Public Storage | 49.67 Bn | 48.75 Bn | - | 84.78 Mn |
| 6 | Ventas | 43.61 Bn | 42.81 Bn | - | 160.03 Mn |
| 7 | Extra Space Storage | 27.79 Bn | 27.79 Bn | 642.43 Mn | - |
| 8 | Vici Properties | 25.29 Bn | 23.41 Bn | 1.05 Bn | 209.93 Mn |
| 9 | Vivmark Residential | 22.78 Bn | 22.97 Bn | - | 82.46 Mn |
| 10 | Gaming & Leisure Properties | 11.05 Bn | 11.44 Bn | - | 100.71 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 100.71 Mn |
| Mar 31, 2026 | 95.86 Mn |
| Dec 31, 2025 | 92.62 Mn |
| Sep 30, 2025 | 94.06 Mn |
| Jun 30, 2025 | 89.93 Mn |
| Mar 31, 2025 | 97.27 Mn |
| Dec 31, 2024 | 97.85 Mn |
| Sep 30, 2024 | 95.71 Mn |
| Jun 30, 2024 | 86.67 Mn |
| Mar 31, 2024 | 86.68 Mn |
| Dec 31, 2023 | 82.87 Mn |
| Sep 30, 2023 | 79.79 Mn |
| Jun 30, 2023 | 79.37 Mn |
| Mar 31, 2023 | 81.36 Mn |
| Dec 31, 2022 | 76.54 Mn |
| Sep 30, 2022 | 76.57 Mn |
| Jun 30, 2022 | 78.26 Mn |
| Mar 31, 2022 | 77.92 Mn |
| Dec 31, 2021 | 71.78 Mn |
| Sep 30, 2021 | 70.43 Mn |
Gaming & Leisure Properties Interest Expenses 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=interest-expenses&ticker=GLPI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "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=interest-expenses&ticker=GLPI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();