Gaming & Leisure Properties (GLPI) Capital Expenditures (2012 - 2026)
Gaming & Leisure Properties' Capital Expenditures was $184.75 million in Q2 2026, up 771.8% from $21.19 million a year earlier and up 65.7% from the prior quarter.
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Analysis
Gaming & Leisure Properties (GLPI) Capital Expenditures (2012 - 2026) Analysis & Trends
On a trailing twelve-month basis, Gaming & Leisure Properties' Capital Expenditures was $566.58 million through Jun 30, 2026, up 749.2% year-over-year; for FY2025, it came in at $304.44 million, up 667.1% from FY2024.
- Capital Expenditures shows a five-year compound annual growth rate of 149.8% (FY2020 to FY2025).
- In earlier years, Capital Expenditures was $39.69 million in FY2024 (-16.3%), $47.44 million in FY2023 (+98.8%), $23.87 million in FY2022 (+71.4%) and $13.93 million in FY2021 (+344.9%).
- Quarterly Capital Expenditures has moved between $90,000 (Q1 2024) and $246.99 million (Q4 2025) over five years.
- Compared with a year earlier, Capital Expenditures has increased for five straight quarters, with growth averaging 430.4% over the last seven quarters.
- The best year-over-year quarter for Capital Expenditures over five years was Q4 2025 (growth of 939.8%); the worst was Q1 2024 (a decline of 99.1%).
- Per Business Quant data, GLPI's Capital Expenditures in the three quarters before Q2 2026 was $111.48 million (Q1 2026), $246.99 million (Q4 2025) and $23.35 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 167.90 Bn | 150.42 Bn | 1.39 Bn | 319.29 Mn |
| 2 | Prologis | 123.74 Bn | 128.13 Bn | - | - |
| 3 | Simon Property | 66.68 Bn | 67.94 Bn | - | 254.90 Mn |
| 4 | Realty Income | 52.20 Bn | 54.59 Bn | - | 57.19 Mn |
| 5 | Public Storage | 50.15 Bn | 49.24 Bn | - | 56.02 Mn |
| 6 | Ventas | 44.59 Bn | 43.78 Bn | - | 101.83 Mn |
| 7 | Extra Space Storage | 28.21 Bn | 28.21 Bn | 642.43 Mn | 31.76 Mn |
| 8 | Vici Properties | 25.53 Bn | 23.65 Bn | 1.05 Bn | 21.69 Mn |
| 9 | Vivmark Residential | 23.00 Bn | 23.19 Bn | - | - |
| 10 | Gaming & Leisure Properties | 11.13 Bn | 11.53 Bn | - | 184.75 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 184.75 Mn |
| Mar 31, 2026 | 111.48 Mn |
| Dec 31, 2025 | 246.99 Mn |
| Sep 30, 2025 | 23.35 Mn |
| Jun 30, 2025 | 21.19 Mn |
| Mar 31, 2025 | 12.91 Mn |
| Dec 31, 2024 | 23.75 Mn |
| Sep 30, 2024 | 8.87 Mn |
| Jun 30, 2024 | 6.97 Mn |
| Mar 31, 2024 | 90,000.00 |
| Dec 31, 2023 | 7.90 Mn |
| Sep 30, 2023 | 12.67 Mn |
| Jun 30, 2023 | 17.12 Mn |
| Mar 31, 2023 | 9.74 Mn |
| Dec 31, 2022 | 7.47 Mn |
| Sep 30, 2022 | 6.48 Mn |
| Jun 30, 2022 | 7.51 Mn |
| Mar 31, 2022 | 2.41 Mn |
| Dec 31, 2021 | 12.27 Mn |
| Sep 30, 2021 | 490,000.00 |
API Access
Gaming & Leisure Properties Capital Expenditures 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=capital-expenditures&ticker=GLPI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=GLPI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();