Equity LifeStyle Net Income Common Stock Trend

Equity LifeStyle Properties -- USA Stock  

USD 88.30  1.27  1.46%

This module enables investors to look at Equity LifeStyle various fundamental indicators over time in order to gain insight into the company future performance. Macroaxis historical fundamental analysis tools allow evaluation of not only typical financial statement drivers such as Consolidated Income of 177.7 M, Cost of Revenue of 374.1 M or Earning Before Interest and Taxes EBIT of 283.6 M, but also many exotic indicators such as Interest Coverage of 2.7334, Long Term Debt to Equity of 2.3121 or Receivables Turnover of 24.9699. This module is a perfect complement to use when analyzing Equity LifeStyle Valuation or Volatility. It can also complement various Equity LifeStyle Technical models. Additionally see analysis of Equity LifeStyle Correlation with competitors.
Showing smoothed Net Income Common Stock of Equity LifeStyle Properties with missing and latest data points interpolated. The amount of net income (loss) for the period per each share of common stock or unit outstanding during the reporting period. Typically differs from Net Income to the parent entity due to the deduction of Preferred Dividends Income Statement Impact.
Net Income Common Stock  10 Years Trend  
Increasing
Slightly volatile
 Net Income Common Stock 
      Timeline 

Regression Statistics

Arithmetic Mean  82,392,510
Geometric Mean  62,258,119
Coefficient Of Variation  70.55
Mean Deviation  52,976,396
Median  54,779,000
Standard Deviation  58,128,230
Range  145,734,000
R Value  0.92
R Squared  0.86
Significance  0.00000604
Slope  13,804,543

Equity LifeStyle Net Income Common Stock Over Time

2016-12-31  164,037,000 
2017-12-31  164,037,000 
2018-12-31  154,832,632 

Other Fundumenentals

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ELS - USA Stock
Equity LifeStyle Properties
Fama & French Trading
Trading
Fama & French Classification
RegionNorth America
ExchangeNew York Stock Exchange
$88.3

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Additionally see analysis of Equity LifeStyle Correlation with competitors. Please also try Pattern Recognition module to use different pattern recognition models to time the market across multiple global exchanges.