MetLife Return On Asset Trend

MET -- USA Stock  

USD 38.89  0.63  1.59%

This module enables investors to look at MetLife 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 3.2 B, Cost of Revenue of 49.5 B or Earning Before Interest and Taxes EBIT of 3.8 B, but also many exotic indicators such as Calculated Tax Rate of 33.8294, Accrued Expenses Turnover of 25.9525 or Cash and Equivalents Turnover of 6.986. This module is a perfect complement to use when analyzing MetLife Valuation or Volatility. It can also complement various MetLife Technical models. Please see also analysis of MetLife Correlation with competitors.
Showing smoothed Return on Average Assets of MetLife with missing and latest data points interpolated. Return on assets measures how profitable a company is Net Income Common Stock relative to its total assets Average Assets.


          10 Years Trend
 Return on Average Assets 

MetLife Regression Statistics

Arithmetic Mean 0.003367
Coefficient Of Variation 106.78
Mean Deviation 0.002806
Median 0.004
Standard Deviation 0.003595
Sample Variance 0.00001292
Range 0.013
R Value 0.16
Mean Square Error 0.00001387
R Squared 0.024246
Significance 0.63
Slope 0.00015524
Total Sum of Squares 0.00014215

MetLife Return On Asset Over Time

2012  0.001 
2014  0.007 
2018  0.0054 

Other Fundumenentals of MetLife

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MetLife Fundamental Drivers

MetLife Fundamental Market Drivers

Short Percent Of Float1.26%
Forward Price Earnings7.10
Shares Short Prior Month9.61M
Average Daily Volume Last 10 Day7.56M
Average Daily Volume In Three Month6.84M
Date Short InterestNovember 15, 2018
Fifty Day Average42.96
Two Hundred Day Average45.01

MetLife Upcoming Events

MetLife Upcoming Company Events

Upcoming Quarterly ReportMay 3, 2017
Next Earnings ReportAugust 2, 2017
Please see also analysis of MetLife Correlation with competitors. Please also try Pair Correlation module to compare performance and examine historical correlation between any two equity instruments.