Macys Asset Turnover Trend

M -- USA Stock  

USD 33.80  1.99  5.56%

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 Direct Expenses of 16.2 B or Consolidated Income of 88.2 M, but also many exotic indicators such as Interest Coverage of 4.0509 or Long Term Debt to Equity of 1.3427. 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 Asset Turnover of Macys with missing and latest data points interpolated. Asset turnover is a measure of a firms operating efficiency; calculated by dividing Revenues by Average Assets. Often a component of DuPont return on equity analysis.
Asset Turnover10 Years Trend
Decreasing
Very volatile
 Asset Turnover 
      Timeline 

Macys Regression Statistics

Arithmetic Mean 1.11
Geometric Mean 1.10
Coefficient Of Variation 6.71
Mean Deviation 0.05
Median 1.07
Standard Deviation 0.07
Sample Variance 0.005519
Range 0.19
R Value(0.004282)
Mean Square Error 0.006071
R Squared 0.00001834
Significance 0.99
Slope(0.00008824)
Total Sum of Squares 0.06

Macys Asset Turnover Over Time

2007  1.27 
2008  1.07 
2018  1.26 

Other Fundumenentals of Macys

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Macys Fundamental Drivers

Macys Fundamental Market Drivers

Short Percent Of Float16.26%
Forward Price Earnings10.58
Shares Short Prior Month41.62M
Average Daily Volume Last 10 Day7.45M
Average Daily Volume In Three Month8.04M
Date Short InterestOctober 15, 2018
Fifty Day Average34.10
Two Hundred Day Average35.73

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 Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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