Macys Price to Earnings Ratio Trend

M -- USA Stock  

USD 35.18  0.51  1.43%

This module enables investors to look at Macys 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 1.3 B or Cost of Revenue of 19.4 B, but also many exotic indicators such as Interest Coverage of 6.6449 or Long Term Debt to Equity of 1.9363. This module is a perfect complement to use when analyzing Macys Valuation or Volatility. It can also complement various Macys Technical models. Please see also analysis of Macys Correlation with competitors.
Showing smoothed Price to Earnings Ratio of Macys with missing and latest data points interpolated. An alternative to [PE] representing the ratio between Adjusted Share Price and Earnings per Basic Share USD.

6.68 times

          10 Years Trend
Slightly volatile
 Price to Earnings Ratio 

Macys Regression Statistics

Arithmetic Mean 8.13
Geometric Mean 10.55
Coefficient Of Variation 157.25
Mean Deviation 7.96
Median 12.40
Standard Deviation 12.78
Sample Variance 163.44
Range 49.69
R Value 0.47
Mean Square Error 140.47
R Squared 0.22
Significance 0.13
Slope 1.66
Total Sum of Squares 1,798

Macys Price to Earnings Ratio Over Time

2016-12-31  12.40 
2017-12-31  12.40 
2018-12-31  6.68 

Other Fundumenentals of Macys

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Macys Fundamental Drivers

Macys Fundamental Market Drivers

Short Percent Of Float14.41%
Forward Price Earnings10.13
Shares Short Prior Month47.04M
Average Daily Volume Last 10 Day6.52M
Average Daily Volume In Three Month7.51M
Date Short InterestAugust 15, 2018
Fifty Day Average37.71
Two Hundred Day Average34.28

Macys Upcoming Events

Macys Upcoming Company Events

Upcoming Quarterly ReportMay 10, 2017
Next Earnings ReportAugust 10, 2017
Please see also analysis of Macys Correlation with competitors. Please also try Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.