Apple Hospitality REIT (APLE) Interest Expense (in Operating Expenses) (2010 - 2011)
Apple Hospitality REIT (APLE) posted Interest Expense (in Operating Expenses) of $1.22 billion for FY2017, down 8.7% from $1.34 billion in FY2016.
Apple Hospitality REIT (APLE) Interest Expense (in Operating Expenses) (2010 - 2011) Analysis & Trends
Since FY2009, Apple Hospitality REIT has reported Interest Expense (in Operating Expenses) for 8 years.
- Annual Interest Expense (in Operating Expenses) shows a five-year compound annual growth rate of 49.2% (FY2012 to FY2017).
- Annual Interest Expense (in Operating Expenses) has run from a low of $161.2 million in FY2013 to a high of $1.34 billion in FY2016 over five years.
- Business Quant data shows APLE's Interest Expense (in Operating Expenses) at $1.34 billion in FY2016 (+34.1%), $998.1 million in FY2015 (+41.2%), $706.63 million in FY2014 (+338.4%) and $161.2 million in FY2013 (-2.6%).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Interest Expense (Op.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 179.36 Bn | 166.43 Bn | 1.47 Bn | 192.66 Mn |
| 2 | Prologis | 122.34 Bn | 120.73 Bn | - | - |
| 3 | Simon Property | 79.95 Bn | 78.05 Bn | - | - |
| 4 | Public Storage | 62.14 Bn | 61.58 Bn | 112.08 Mn | 102.53 Mn |
| 5 | Realty Income | 55.95 Bn | 57.33 Bn | - | 333.56 Mn |
| 6 | Ventas | 47.02 Bn | 46.18 Bn | -3.39 Bn | 161.39 Mn |
| 7 | Ryman Hospitality Properties | 46.62 Bn | 45.46 Bn | 266.41 Mn | - |
| 8 | Vivmark Residential | 37.34 Bn | 37.09 Bn | - | 123.79 Mn |
| 9 | Extra Space Storage | 33.12 Bn | 32.90 Bn | 650.96 Mn | -151.17 Mn |
| 10 | Apple Hospitality REIT | 2.30 Bn | 2.24 Bn | 168.86 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2011 | -1.59 Mn |
| Mar 31, 2011 | -1.05 Mn |
| Sep 30, 2010 | -1.93 Mn |
Apple Hospitality REIT Interest Expense (in Operating 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=interest-expense-in-operating-expenses&ticker=APLE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expense-in-operating-expenses", "ticker": "APLE", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=interest-expense-in-operating-expenses&ticker=APLE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();