MetLife Price to Earning Trend

MET -- USA Stock  

USD 43.84  0.22  0.50%

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 Price to Earnings Ratio of MetLife with missing and latest data points interpolated. An alternative to [PE] representing the ratio between Adjusted Share Price and Earnings per Basic Share USD.
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10.83 times

          10 Years Trend
 Price to Earnings Ratio 
      Timeline 

MetLife Regression Statistics

Arithmetic Mean 27.63
Coefficient Of Variation 117.88
Mean Deviation 25.77
Median 15.43
Standard Deviation 32.57
Sample Variance 1,061
Range 97.77
R Value 0.30
Mean Square Error 1,064
R Squared 0.09
Significance 0.35
Slope 2.67
Total Sum of Squares 11,666

MetLife Price to Earning Over Time

2016-12-31  85.54 
2017-12-31  85.54 
2018-12-31  10.83 

Other Fundumenentals of MetLife

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MetLife Fundamental Drivers

MetLife Fundamental Market Drivers

Short Percent Of Float1.55%
Forward Price Earnings7.97
Shares Short Prior Month14.07M
Average Daily Volume Last 10 Day6.7M
Average Daily Volume In Three Month5.31M
Date Short InterestSeptember 28, 2018
Fifty Day Average46.19
Two Hundred Day Average46.11

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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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