Macys Net Income Common Stock USD Trend

M -- USA Stock  

USD 35.81  0.22  0.61%

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 Net Income Common Stock USD of Macys with missing and latest data points interpolated. Net Income Common Stock in USD; converted by [FXUSD].
Net Income Common Stock USD10 Years Trend
Increasing
Slightly volatile
 Net Income Common Stock USD 
      Timeline 

Regression Statistics

Arithmetic Mean  514,764,706
Geometric Mean  1,067,190,917
Coefficient Of Variation  340.15
Mean Deviation  1,049,049,020
Median  1,072,000,000
Standard Deviation  1,750,989,166
Range  6,329,000,000
R Value  0.55
R Squared  0.31
Significance  0.06
Slope  269,478,815

Macys Net Income Common Stock USD Over Time

2016-12-31  1,072,000,000 
2017-12-31  1,072,000,000 
2018-12-31  1,261,176,471 

Other Fundumenentals

Thematic Opportunities

Explore Investment Opportunities
Build portfolios using Macroaxis predefined set of investing ideas. Many of Macroaxis investing ideas can easily outperform a given market. Ideas can also be optimized per your risk profile before portfolio origination is invoked.
Explore Thematic Ideas
Explore Investing Ideas  

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 Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.