Gaming & Leisure Properties (GLPI) Accumulated Expenses (2012 - 2021)
Gaming & Leisure Properties (GLPI) posted Accumulated Expenses of $62.76 million for Q4 2021, compared with $398,000 a year earlier.
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Analysis
Gaming & Leisure Properties (GLPI) Accumulated Expenses (2012 - 2021) Analysis & Trends
Since Q4 2012, Gaming & Leisure Properties has reported Accumulated Expenses for 33 quarters.
- Annual Accumulated Expenses shows a five-year compound annual growth rate of 57.0% (FY2016 to FY2021).
- In prior years, Gaming & Leisure Properties' Accumulated Expenses was $398,000 in FY2020 (-93.6%), $6.24 million in FY2019 (-79.4%), $30.3 million in FY2018 (+282.9%) and $7.91 million in FY2017 (+20.1%).
- The Q4 2021 figure stands as the highest quarterly Accumulated Expenses in data going back to Q4 2012.
- On a year-over-year basis, Accumulated Expenses increased in 1 of the last seven quarters, with an average decline of 47.0%.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was Q4 2018, with growth of 282.9%; the weakest was Q4 2020, with a decline of 93.6%.
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $3.03 million (Q3 2021), $2.17 million (Q2 2021) and $978,000 (Q1 2021).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Welltower | 166.01 Bn | 148.52 Bn | 1.39 Bn |
| 2 | Prologis | 121.16 Bn | 125.55 Bn | - |
| 3 | Simon Property | 65.49 Bn | 66.75 Bn | - |
| 4 | Realty Income | 51.38 Bn | 53.76 Bn | - |
| 5 | Public Storage | 49.67 Bn | 48.75 Bn | - |
| 6 | Ventas | 43.61 Bn | 42.81 Bn | - |
| 7 | Extra Space Storage | 27.79 Bn | 27.79 Bn | 642.43 Mn |
| 8 | Vici Properties | 25.29 Bn | 23.41 Bn | 1.05 Bn |
| 9 | Vivmark Residential | 22.78 Bn | 22.97 Bn | - |
| 10 | Gaming & Leisure Properties | 11.05 Bn | 11.44 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2021 | 62.76 Mn |
| Sep 30, 2021 | 3.03 Mn |
| Jun 30, 2021 | 2.17 Mn |
| Mar 31, 2021 | 978,000.00 |
| Dec 31, 2020 | 398,000.00 |
| Sep 30, 2020 | 4.64 Mn |
| Jun 30, 2020 | 3.77 Mn |
| Mar 31, 2020 | 6.00 Mn |
| Dec 31, 2019 | 6.24 Mn |
| Sep 30, 2019 | 6.72 Mn |
| Jun 30, 2019 | 6.78 Mn |
| Mar 31, 2019 | 5.95 Mn |
| Dec 31, 2018 | 30.30 Mn |
| Sep 30, 2018 | 8.91 Mn |
| Jun 30, 2018 | 7.17 Mn |
| Mar 31, 2018 | 6.06 Mn |
| Dec 31, 2017 | 7.91 Mn |
| Sep 30, 2017 | 8.08 Mn |
| Jun 30, 2017 | 7.37 Mn |
| Mar 31, 2017 | 6.02 Mn |
API Access
Gaming & Leisure Properties Accumulated Expenses 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=accumulated-expenses&ticker=GLPI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=GLPI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();