Gaming & Leisure Properties (GLPI) Property, Plant & Equipment (Net) (2012 - 2021)
Gaming & Leisure Properties (GLPI) posted Property, Plant & Equipment (Net) of $12.98 million for Q4 2021, down 83.9% from $80.62 million a year earlier and down 67.6% from the prior quarter.
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Analysis
Gaming & Leisure Properties (GLPI) Property, Plant & Equipment (Net) (2012 - 2021) Analysis & Trends
Since Q4 2012, Gaming & Leisure Properties has reported Property, Plant & Equipment (Net) for 34 quarters.
- Annual Property, Plant & Equipment (Net) has declined for eight consecutive years, with a five-year compound annual growth rate of -35.8% (FY2016 to FY2021).
- In prior years, Gaming & Leisure Properties' Property, Plant & Equipment (Net) was $80.62 million in FY2020 (-14.3%), $94.08 million in FY2019 (-6.7%), $100.88 million in FY2018 (-6.8%) and $108.29 million in FY2017 (-9.3%).
- The Q4 2021 figure stands as the lowest quarterly Property, Plant & Equipment (Net) in data going back to Q4 2012.
- On a year-over-year basis, Property, Plant & Equipment (Net) has declined in each of the last 25 quarters, with an average decline of 24.9% over the last eight quarters.
- Across the past five years, year-over-year decline in Property, Plant & Equipment (Net) ran from 6.2% in Q1 2020 to 83.9% in Q4 2021.
- According to Business Quant data, Property, Plant & Equipment (Net) for the three prior quarters was $40.09 million (Q3 2021), $79.08 million (Q2 2021) and $79.92 million (Q1 2021).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 164.16 Bn | 146.67 Bn | 1.39 Bn | - |
| 2 | Prologis | 120.28 Bn | 124.68 Bn | - | - |
| 3 | Simon Property | 68.97 Bn | 70.18 Bn | - | - |
| 4 | Realty Income | 51.22 Bn | 53.60 Bn | - | - |
| 5 | Public Storage | 49.85 Bn | 48.94 Bn | - | - |
| 6 | Ventas | 43.09 Bn | 42.28 Bn | - | - |
| 7 | Extra Space Storage | 28.15 Bn | 28.15 Bn | 642.43 Mn | 61.27 Mn |
| 8 | Vici Properties | 24.95 Bn | 23.07 Bn | 1.05 Bn | - |
| 9 | Vivmark Residential | 22.41 Bn | 22.60 Bn | - | - |
| 10 | Gaming & Leisure Properties | 10.96 Bn | 11.36 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2021 | 12.98 Mn |
| Sep 30, 2021 | 40.09 Mn |
| Jun 30, 2021 | 79.08 Mn |
| Mar 31, 2021 | 79.92 Mn |
| Dec 31, 2020 | 80.62 Mn |
| Sep 30, 2020 | 89.32 Mn |
| Jun 30, 2020 | 90.89 Mn |
| Mar 31, 2020 | 92.44 Mn |
| Dec 31, 2019 | 94.08 Mn |
| Sep 30, 2019 | 95.62 Mn |
| Jun 30, 2019 | 97.22 Mn |
| Mar 31, 2019 | 98.51 Mn |
| Dec 31, 2018 | 100.88 Mn |
| Sep 30, 2018 | 102.43 Mn |
| Jun 30, 2018 | 104.31 Mn |
| Mar 31, 2018 | 106.26 Mn |
| Dec 31, 2017 | 108.29 Mn |
| Sep 30, 2017 | 110.23 Mn |
| Jun 30, 2017 | 114.41 Mn |
| Mar 31, 2017 | 116.45 Mn |
API Access
Gaming & Leisure Properties Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=GLPI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=GLPI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();