Gaming & Leisure Properties (GLPI) Total Debt (2013 - 2016)
Gaming & Leisure Properties (GLPI) recorded Total Debt of $4.66 billion in Q3 2016, up 83.4% from $2.54 billion a year earlier and up 3.3% from the prior quarter.
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Analysis
Gaming & Leisure Properties (GLPI) Total Debt (2013 - 2016) Analysis & Trends
At the end of FY2015, Gaming & Leisure Properties reported Total Debt of $2.51 billion, down 2.3% from FY2014.
- Across earlier years, Total Debt came in at $2.57 billion in FY2014 (+9.4%) and $2.35 billion in FY2013.
- The Q3 2016 figure is the highest quarterly Total Debt in data going back to Q4 2013.
- On a year-over-year basis, Total Debt rose in three of the last five quarters, with growth averaging 32.4%.
- Per Business Quant, the preceding three quarters came in at $4.51 billion (Q2 2016), $2.47 billion (Q1 2016) and $2.51 billion (Q4 2015).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 167.90 Bn | 150.42 Bn | 1.39 Bn | 14.30 Bn |
| 2 | Prologis | 123.74 Bn | 128.13 Bn | - | - |
| 3 | Simon Property | 66.68 Bn | 67.94 Bn | - | 24.60 Mn |
| 4 | Realty Income | 52.20 Bn | 54.59 Bn | - | 4.16 Bn |
| 5 | Public Storage | 50.15 Bn | 49.24 Bn | - | - |
| 6 | Ventas | 44.59 Bn | 43.78 Bn | - | - |
| 7 | Extra Space Storage | 28.21 Bn | 28.21 Bn | 642.43 Mn | - |
| 8 | Vici Properties | 25.53 Bn | 23.65 Bn | 1.05 Bn | - |
| 9 | Vivmark Residential | 23.00 Bn | 23.19 Bn | - | 3.09 Bn |
| 10 | Gaming & Leisure Properties | 11.13 Bn | 11.53 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2016 | 4.66 Bn |
| Jun 30, 2016 | 4.51 Bn |
| Mar 31, 2016 | 2.47 Bn |
| Dec 31, 2015 | 2.51 Bn |
| Sep 30, 2015 | 2.54 Bn |
| Jun 30, 2015 | 2.57 Bn |
| Mar 31, 2015 | 2.58 Bn |
| Dec 31, 2014 | 2.57 Bn |
| Dec 31, 2013 | 2.35 Bn |
API Access
Gaming & Leisure Properties Total Debt 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=total-debt&ticker=GLPI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-debt", "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=total-debt&ticker=GLPI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();