Equity Lifestyle Properties (ELS) Depreciation and Depletion (2009 - 2018)
Equity Lifestyle Properties' Depreciation and Depletion came in at $33.77 million for Q4 2018, up 9.2% from $30.94 million a year earlier and up 1.6% from the prior quarter.
Equity Lifestyle Properties (ELS) Depreciation and Depletion (2009 - 2018) Analysis & Trends
For FY2018, Equity Lifestyle Properties' Depreciation and Depletion was $131.5 million, up 7.2% from FY2017.
- Depreciation and Depletion has increased in each of the last eight years, with a five-year compound annual growth rate of 3.5% (FY2013 to FY2018).
- Going back by year, Depreciation and Depletion was $122.72 million in FY2017 (+3.5%), $118.52 million in FY2016 (+3.3%), $114.7 million in FY2015 (+2.5%) and $111.87 million in FY2014 (+1.2%).
- The Q4 2018 figure represents the highest quarterly Depreciation and Depletion in data going back to Q3 2009.
- Year-over-year, Depreciation and Depletion has increased for 18 consecutive quarters, with growth averaging 5.4% over the last eight quarters.
- The fastest year-over-year change in Depreciation and Depletion over five years came in Q4 2018 (growth of 9.2%), and the weakest in Q2 2014 (a decline of 7.6%).
- Business Quant data shows ELS's Depreciation and Depletion at $33.24 million (Q3 2018), $32.82 million (Q2 2018) and $31.67 million (Q1 2018) in the three quarters before Q4 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 | Equity Lifestyle Properties | 11.18 Bn | 11.24 Bn | 359.07 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2018 | 33.77 Mn |
| Sep 30, 2018 | 33.24 Mn |
| Jun 30, 2018 | 32.82 Mn |
| Mar 31, 2018 | 31.67 Mn |
| Dec 31, 2017 | 30.94 Mn |
| Sep 30, 2017 | 30.82 Mn |
| Jun 30, 2017 | 30.56 Mn |
| Mar 31, 2017 | 30.40 Mn |
| Dec 31, 2016 | 30.48 Mn |
| Sep 30, 2016 | 29.80 Mn |
| Jun 30, 2016 | 29.31 Mn |
| Mar 31, 2016 | 28.94 Mn |
| Dec 31, 2015 | 29.02 Mn |
| Sep 30, 2015 | 28.69 Mn |
| Jun 30, 2015 | 28.63 Mn |
| Mar 31, 2015 | 28.36 Mn |
| Dec 31, 2014 | 28.05 Mn |
| Sep 30, 2014 | 28.03 Mn |
| Jun 30, 2014 | 27.96 Mn |
| Mar 31, 2014 | 27.83 Mn |
Equity Lifestyle Properties 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=ELS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "ticker": "ELS", "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=ELS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();