Macys Trade and Non Trade Payables Trend

M -- USA Stock  

USD 34.05  1.50  4.22%

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 Trade and Non Trade Payables of Macys with missing and latest data points interpolated. A component of Total Liabilities representing trade and non-trade payables.
Trade and Non Trade Payables10 Years Trend
Increasing
Slightly volatile
 Trade and Non Trade Payables 
      Timeline 

Macys Regression Statistics

Arithmetic Mean 4,375,539,216
Geometric Mean 4,308,713,577
Coefficient Of Variation 17.22
Mean Deviation 541,616,013
Median 4,501,000,000
Standard Deviation 753,448,728
Range 3,071,470,588
R Value 0.91
R Squared 0.84
Significance 0.00003227
Slope 190,969,148

Macys Trade and Non Trade Payables Over Time

2016-12-31  4,859,000,000 
2017-12-31  4,859,000,000 
2018-12-31  5,716,470,588 

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.
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