Apple Hospitality REIT (APLE) Buildings and Improvements (2014 - 2017)
Apple Hospitality REIT (APLE) posted Buildings of $4.29 billion for Q2 2017, up 33.3% from $3.22 billion a year earlier and up 0.1% from the prior quarter.
Apple Hospitality REIT (APLE) Buildings and Improvements (2014 - 2017) Analysis & Trends
At the end of FY2016, Apple Hospitality REIT's Buildings came in at $4.27 billion, up 33.4% from FY2015.
- In prior years, Apple Hospitality REIT's Buildings was $3.2 billion in FY2015 (+6.3%) and $3.01 billion in FY2014.
- The Q2 2017 figure stands as the highest quarterly Buildings in data going back to Q4 2014.
- On a year-over-year basis, Buildings has increased in each of the last three quarters, with growth averaging 19.6% over the last six quarters.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Welltower | 179.36 Bn | 166.43 Bn | 1.47 Bn |
| 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 |
| 5 | Realty Income | 55.95 Bn | 57.33 Bn | - |
| 6 | Ventas | 47.02 Bn | 46.18 Bn | -3.39 Bn |
| 7 | Ryman Hospitality Properties | 46.62 Bn | 45.46 Bn | 266.41 Mn |
| 8 | Vivmark Residential | 37.34 Bn | 37.09 Bn | - |
| 9 | Extra Space Storage | 33.12 Bn | 32.90 Bn | 650.96 Mn |
| 10 | Apple Hospitality REIT | 2.30 Bn | 2.24 Bn | 168.86 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2017 | 4.29 Bn |
| Mar 31, 2017 | 4.28 Bn |
| Dec 31, 2016 | 4.27 Bn |
| Jun 30, 2016 | 3.22 Bn |
| Mar 31, 2016 | 3.21 Bn |
| Dec 31, 2015 | 3.20 Bn |
| Sep 30, 2015 | 3.19 Bn |
| Jun 30, 2015 | 3.06 Bn |
| Mar 31, 2015 | 3.02 Bn |
| Dec 31, 2014 | 3.01 Bn |
Apple Hospitality REIT Buildings and Improvements 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=buildings-and-improvements&ticker=APLE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "buildings-and-improvements", "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=buildings-and-improvements&ticker=APLE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();