Gaming & Leisure Properties (GLPI) EBITDA (2012 - 2026)
Gaming & Leisure Properties (GLPI) recorded EBITDA of $403.25 million in Q2 2026, up 27.8% from $315.57 million a year earlier and up 0.1% from the prior quarter.
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Analysis
Gaming & Leisure Properties (GLPI) EBITDA (2012 - 2026) Analysis & Trends
On a TTM basis, Gaming & Leisure Properties' EBITDA came in at $1.65 billion as of Jun 30, 2026, up 21.1% year-over-year; for FY2025, it came in at $1.48 billion, up 5.7% from FY2024.
- Annual EBITDA has increased for 13 straight years, with a five-year compound annual growth rate of 7.1% (FY2020 to FY2025).
- Across earlier years, EBITDA came in at $1.4 billion in FY2024 (+4.4%), $1.35 billion in FY2023 (+4.7%), $1.28 billion in FY2022 (+17.4%) and $1.09 billion in FY2021 (+3.9%).
- Quarterly EBITDA has ranged from $264.92 million in Q1 2022 to $431.81 million in Q4 2025 over the past five years.
- On a year-over-year basis, EBITDA has increased for four consecutive quarters, with growth averaging 9.7% over the last eight quarters.
- Peak year-over-year performance for EBITDA in the last five years was growth of 31.9% in Q3 2022, against a decline of 12.8% in Q2 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $402.66 million (Q1 2026), $431.81 million (Q4 2025) and $408.91 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 170.43 Bn | 151.92 Bn | 1.39 Bn | -1.08 Bn |
| 2 | Prologis | 117.84 Bn | 112.88 Bn | - | 1.96 Bn |
| 3 | Simon Property | 69.14 Bn | 64.99 Bn | - | 1.29 Bn |
| 4 | Public Storage | 53.89 Bn | 52.88 Bn | - | 757.21 Mn |
| 5 | Realty Income | 53.27 Bn | 51.49 Bn | - | 1.36 Bn |
| 6 | Ventas | 42.79 Bn | 41.47 Bn | - | 629.80 Mn |
| 7 | Extra Space Storage | 30.25 Bn | 29.16 Bn | 642.43 Mn | 590.53 Mn |
| 8 | Vici Properties | 26.16 Bn | 24.28 Bn | 1.05 Bn | 747.52 Mn |
| 9 | Vivmark Residential | 23.48 Bn | 23.26 Bn | - | 451.46 Mn |
| 10 | Gaming & Leisure Properties | 11.25 Bn | 9.69 Bn | - | 406.88 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 406.88 Mn |
| Mar 31, 2026 | 406.12 Mn |
| Dec 31, 2025 | 435.19 Mn |
| Sep 30, 2025 | 412.33 Mn |
| Jun 30, 2025 | 318.80 Mn |
| Mar 31, 2025 | 331.35 Mn |
| Dec 31, 2024 | 379.46 Mn |
| Sep 30, 2024 | 342.29 Mn |
| Jun 30, 2024 | 364.65 Mn |
| Mar 31, 2024 | 328.93 Mn |
| Dec 31, 2023 | 366.84 Mn |
| Sep 30, 2023 | 340.26 Mn |
| Jun 30, 2023 | 309.70 Mn |
| Mar 31, 2023 | 338.19 Mn |
| Dec 31, 2022 | 340.83 Mn |
| Sep 30, 2022 | 383.09 Mn |
| Jun 30, 2022 | 302.83 Mn |
| Mar 31, 2022 | 267.69 Mn |
| Dec 31, 2021 | 272.81 Mn |
| Sep 30, 2021 | 291.07 Mn |
API Access
Gaming & Leisure Properties 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=ebitda&ticker=GLPI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=ebitda&ticker=GLPI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();