Apple Hospitality REIT (APLE) Depreciation and Depletion (2010 - 2018)
Apple Hospitality REIT (APLE) reported Depreciation and Depletion of $46.73 million for Q4 2018, up 4.5% from $44.73 million a year earlier and up 1.2% from the prior quarter.
Apple Hospitality REIT (APLE) Depreciation and Depletion (2010 - 2018) Analysis & Trends
For FY2018, Apple Hospitality REIT posted Depreciation and Depletion of $183.48 million, up 4.0% from FY2017.
- Depreciation and Depletion has increased for nine consecutive years, with a five-year compound annual growth rate of 27.3% (FY2013 to FY2018).
- By year, Depreciation and Depletion came in at $176.5 million in FY2017 (+19.1%), $148.16 million in FY2016 (+16.3%), $127.45 million in FY2015 (+12.7%) and $113.11 million in FY2014 (+106.3%).
- The Q4 2018 figure ranks as the highest quarterly Depreciation and Depletion in data going back to Q2 2010.
- Year over year, Depreciation and Depletion has now increased in each of the last 31 quarters, with growth averaging 12.2% over the last eight quarters.
- Across the past five years, year-over-year growth in Depreciation and Depletion ran from 1.2% in Q2 2015 to 127.1% in Q4 2014.
- Per Business Quant data, the three quarters before Q4 2018 came in at $46.17 million (Q3 2018), $45.74 million (Q2 2018) and $44.84 million (Q1 2018).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 163.71 Bn | 146.23 Bn | 1.39 Bn | - |
| 2 | Prologis | 119.65 Bn | 124.04 Bn | - | - |
| 3 | Simon Property | 68.89 Bn | 70.10 Bn | - | - |
| 4 | Realty Income | 50.65 Bn | 53.03 Bn | - | - |
| 5 | Public Storage | 49.89 Bn | 48.98 Bn | - | 271.79 Mn |
| 6 | Ventas | 42.94 Bn | 42.14 Bn | - | - |
| 7 | Extra Space Storage | 28.13 Bn | 28.13 Bn | 642.43 Mn | - |
| 8 | Vici Properties | 25.04 Bn | 23.15 Bn | 1.05 Bn | 998,000.00 |
| 9 | Vivmark Residential | 22.56 Bn | 22.75 Bn | - | 246.38 Mn |
| 10 | Apple Hospitality REIT | 3.87 Bn | 3.79 Bn | 174.97 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2018 | 46.73 Mn |
| Sep 30, 2018 | 46.17 Mn |
| Jun 30, 2018 | 45.74 Mn |
| Mar 31, 2018 | 44.84 Mn |
| Dec 31, 2017 | 44.73 Mn |
| Sep 30, 2017 | 44.11 Mn |
| Jun 30, 2017 | 43.89 Mn |
| Mar 31, 2017 | 43.77 Mn |
| Dec 31, 2016 | 43.51 Mn |
| Sep 30, 2016 | 37.34 Mn |
| Jun 30, 2016 | 33.82 Mn |
| Mar 31, 2016 | 33.48 Mn |
| Dec 31, 2015 | 33.24 Mn |
| Sep 30, 2015 | 32.35 Mn |
| Jun 30, 2015 | 31.14 Mn |
| Mar 31, 2015 | 30.72 Mn |
| Dec 31, 2014 | 31.70 Mn |
| Sep 30, 2014 | 31.10 Mn |
| Jun 30, 2014 | 30.75 Mn |
| Mar 31, 2014 | 19.56 Mn |
Apple Hospitality REIT Depreciation and Depletion 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=depreciation-and-depletion&ticker=APLE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=APLE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();