Macys Liabilities Non Current Trend

M -- USA Stock  

USD 35.53  0.04  0.11%

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 Liabilities Non Current of Macys with missing and latest data points interpolated. The non-current portion of Total Liabilities; reported if the company operates a classified balance sheet that segments current and non-current liabilities.
Liabilities Non Current10 Years Trend
Slightly volatile
 Liabilities Non Current 

Macys Regression Statistics

Arithmetic Mean 10,414,142,157
Geometric Mean 10,243,560,090
Coefficient Of Variation 16.97
Mean Deviation 1,130,951,797
Median 10,595,000,000
Standard Deviation 1,767,033,348
Range 6,698,705,882
R Value 0.37
R Squared 0.14
Significance 0.24
Slope 180,743,933

Macys Liabilities Non Current Over Time

2016-12-31  10,595,000,000 
2017-12-31  10,595,000,000 
2018-12-31  12,464,705,882 

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 Alpha Finder module to use alpha and beta coefficients to find investment opportunities after accounting for the risk.