Gaming & Leisure Properties (GLPI) Real Estate Taxes and Insurance (2013 - 2018)
Gaming & Leisure Properties (GLPI) posted Real Estate Taxes and Insurance of $23.78 million for Q4 2018, up 19.7% from $19.86 million a year earlier and up 10.1% from the prior quarter.
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Analysis
Gaming & Leisure Properties (GLPI) Real Estate Taxes and Insurance (2013 - 2018) Analysis & Trends
For FY2018, Gaming & Leisure Properties' Real Estate Taxes and Insurance came in at $88.76 million, up 4.8% from FY2017.
- Annual Real Estate Taxes and Insurance has increased for three consecutive years, with a five-year compound annual growth rate of 57.3% (FY2013 to FY2018).
- In prior years, Gaming & Leisure Properties' Real Estate Taxes and Insurance was $84.67 million in FY2017 (+21.9%), $69.45 million in FY2016 (+90.7%), $36.41 million in FY2015 (-30.2%) and $52.15 million in FY2014 (+465.7%).
- The Q4 2018 figure stands as the highest quarterly Real Estate Taxes and Insurance in data going back to Q1 2013.
- On a year-over-year basis, Real Estate Taxes and Insurance increased in five of the last eight quarters, with growth averaging 16.8%.
- The strongest year-over-year quarter for Real Estate Taxes and Insurance in the past five years was Q1 2017, with growth of 81.4%; the weakest was Q1 2016, with a decline of 11.3%.
- According to Business Quant data, Real Estate Taxes and Insurance for the three prior quarters was $21.59 million (Q3 2018), $21.8 million (Q2 2018) and $21.6 million (Q1 2018).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 | - |
| 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 |
| 9 | Vivmark Residential | 24.52 Bn | 24.30 Bn | - |
| 10 | Gaming & Leisure Properties | 11.31 Bn | 10.33 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2018 | 23.78 Mn |
| Sep 30, 2018 | 21.59 Mn |
| Jun 30, 2018 | 21.80 Mn |
| Mar 31, 2018 | 21.60 Mn |
| Dec 31, 2017 | 19.86 Mn |
| Sep 30, 2017 | 21.75 Mn |
| Jun 30, 2017 | 20.91 Mn |
| Mar 31, 2017 | 22.14 Mn |
| Dec 31, 2016 | 20.30 Mn |
| Sep 30, 2016 | 20.87 Mn |
| Jun 30, 2016 | 16.08 Mn |
| Mar 31, 2016 | 12.21 Mn |
| Dec 31, 2015 | -4.73 Mn |
| Sep 30, 2015 | 14.17 Mn |
| Jun 30, 2015 | 13.21 Mn |
| Mar 31, 2015 | 13.76 Mn |
| Dec 31, 2014 | 13.95 Mn |
| Sep 30, 2014 | 12.93 Mn |
| Jun 30, 2014 | 12.86 Mn |
| Mar 31, 2014 | 12.42 Mn |
API Access
Gaming & Leisure Properties Real Estate Taxes and Insurance 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=real-estate-taxes-and-insurance&ticker=GLPI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "real-estate-taxes-and-insurance", "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=real-estate-taxes-and-insurance&ticker=GLPI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();