MetLife Profit Margin Trend

MET -- USA Stock  

USD 44.66  0.81  1.85%

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 Profit Margin of MetLife with missing and latest data points interpolated. Measures the ratio between a company's Net Income Common Stock and Revenues.

6.43 %

          10 Years Trend
 Profit Margin 

MetLife Regression Statistics

Arithmetic Mean 0.038692
Coefficient Of Variation 107.15
Mean Deviation 0.032743
Median 0.049
Standard Deviation 0.041457
Sample Variance 0.001719
Range 0.15
R Value 0.22
Mean Square Error 0.001798
R Squared 0.048914
Significance 0.49
Slope 0.002543
Total Sum of Squares 0.018906

MetLife Profit Margin Over Time

2016-12-31  0.011 
2017-12-31  0.011 
2018-12-31  0.06 

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 Day6.54M
Average Daily Volume In Three Month5.18M
Date Short InterestSeptember 28, 2018
Fifty Day Average46.58
Two Hundred Day Average46.17

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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.