Gaming & Leisure Properties, Inc. (GLPI) EV to EBITDA (2013 - 2026)
Gaming & Leisure Properties' (GLPI) EV to EBITDA stood at 7.92 in Q2 2026, down 17.1% from 9.55 a year earlier and down 2.8% from the prior quarter.
Gaming & Leisure Properties, Inc. (GLPI) EV to EBITDA (2013 - 2026) Analysis & Trends
On a TTM basis, Gaming & Leisure Properties' EV to EBITDA came in at 7.16 as of Jun 30, 2026, down 9.4% year-over-year; for FY2025, it came in at 8.63, down 3.6% from FY2024.
- Annual EV to EBITDA has declined for three straight years.
- Across earlier years, EV to EBITDA came in at 8.95 in FY2024 (-7.6%), 9.69 in FY2023 (-9.0%), 10.65 in FY2022 (+1.2%) and 10.52 in FY2021 (+18.2%).
- The Q2 2026 figure is the lowest quarterly EV to EBITDA since Q2 2020.
- On a year-over-year basis, EV to EBITDA has declined for four consecutive quarters, with an average decline of 3.8% over the last eight quarters.
- Peak year-over-year performance for EV to EBITDA in the last five years was growth of 22.8% in Q1 2022, against a decline of 19.4% in Q1 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at 8.14 (Q1 2026), 8.63 (Q4 2025) and 8.97 (Q3 2025).
Peer Comparison
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.92 |
| Mar 31, 2026 | 8.14 |
| Dec 31, 2025 | 8.63 |
| Sep 30, 2025 | 8.97 |
| Jun 30, 2025 | 9.55 |
| Mar 31, 2025 | 10.10 |
| Dec 31, 2024 | 8.95 |
| Sep 30, 2024 | 9.65 |
| Jun 30, 2024 | 8.62 |
| Mar 31, 2024 | 9.06 |
| Dec 31, 2023 | 9.69 |
| Sep 30, 2023 | 9.42 |
| Jun 30, 2023 | 9.59 |
| Mar 31, 2023 | 10.33 |
| Dec 31, 2022 | 10.65 |
| Sep 30, 2022 | 9.60 |
| Jun 30, 2022 | 10.39 |
| Mar 31, 2022 | 10.76 |
| Dec 31, 2021 | 10.52 |
| Sep 30, 2021 | 9.41 |
Gaming & Leisure Properties, Inc. EV to EBITDA 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=ev-to-ebitda&ticker=GLPI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "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=ev-to-ebitda&ticker=GLPI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();