Gaming & Leisure Properties (GLPI) Depreciation and Depletion (2012 - 2026)
Gaming & Leisure Properties' Depreciation and Depletion came in at $69.3 million for Q3 2026, up 2.7% from $67.47 million a year earlier and up 4.1% from the prior quarter.
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Analysis
Gaming & Leisure Properties (GLPI) Depreciation and Depletion (2012 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Gaming & Leisure Properties reported Depreciation and Depletion of $265.06 million, down 0.5% year-over-year; for FY2025, it came in at $265.86 million, up 2.2% from FY2024.
- Depreciation and Depletion carries a five-year compound annual growth rate of 2.9% (FY2020 to FY2025).
- Going back by year, Depreciation and Depletion was $260.15 million in FY2024 (-1.0%), $262.87 million in FY2023 (+10.1%), $238.69 million in FY2022 (+1.0%) and $236.43 million in FY2021 (+2.4%).
- The Q3 2026 figure represents the highest quarterly Depreciation and Depletion in data going back to Q3 2012.
- Year-over-year, Depreciation and Depletion increased in three of the last eight quarters, with growth averaging 0.8%.
- The fastest year-over-year change in Depreciation and Depletion over five years came in Q1 2023 (growth of 10.9%), and the weakest in Q2 2026 (a decline of 3.8%).
- Business Quant data shows GLPI's Depreciation and Depletion at $66.58 million (Q2 2026), $65.04 million (Q1 2026) and $64.14 million (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 177.74 Bn | 163.76 Bn | 1.47 Bn | - |
| 2 | Prologis | 120.05 Bn | 114.00 Bn | - | - |
| 3 | Simon Property | 74.18 Bn | 70.24 Bn | - | - |
| 4 | Public Storage | 62.09 Bn | 60.82 Bn | - | 312.96 Mn |
| 5 | Realty Income | 55.76 Bn | 54.03 Bn | - | - |
| 6 | Ventas | 45.60 Bn | 44.27 Bn | - | - |
| 7 | Extra Space Storage | 33.58 Bn | 32.49 Bn | 650.96 Mn | - |
| 8 | Vici Properties | 27.29 Bn | 25.64 Bn | 1.06 Bn | 876,000.00 |
| 9 | Vivmark Residential | 24.52 Bn | 24.30 Bn | - | 246.38 Mn |
| 10 | Gaming & Leisure Properties | 11.31 Bn | 10.33 Bn | - | 69.30 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 69.30 Mn |
| Jun 30, 2026 | 66.58 Mn |
| Mar 31, 2026 | 65.04 Mn |
| Dec 31, 2025 | 64.14 Mn |
| Sep 30, 2025 | 67.47 Mn |
| Jun 30, 2025 | 69.24 Mn |
| Mar 31, 2025 | 65.01 Mn |
| Dec 31, 2024 | 64.76 Mn |
| Sep 30, 2024 | 64.77 Mn |
| Jun 30, 2024 | 65.26 Mn |
| Mar 31, 2024 | 65.36 Mn |
| Dec 31, 2023 | 65.74 Mn |
| Sep 30, 2023 | 65.85 Mn |
| Jun 30, 2023 | 65.73 Mn |
| Mar 31, 2023 | 65.55 Mn |
| Dec 31, 2022 | 59.71 Mn |
| Sep 30, 2022 | 59.89 Mn |
| Jun 30, 2022 | 59.96 Mn |
| Mar 31, 2022 | 59.13 Mn |
| Dec 31, 2021 | 59.40 Mn |
API Access
Gaming & Leisure Properties Depreciation and Depletion 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=depreciation-and-depletion&ticker=GLPI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=GLPI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();