Macys Net Income Trend

M -- USA Stock  

USD 36.03  2.18  5.71%

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 of Macys with missing and latest data points interpolated. Net income is one of the most important fundamental items in finance. It plays a large role in Macys financial statement analysis. It represents the amount of money remaining after all of Macys operating expenses, interest, taxes and preferred stock dividends have been deducted from a company total revenue. The portion of profit or loss for the period; net of income taxes; which is attributable to the parent after the deduction of [NetIncNCI] from [ConsolInc]; and before the deduction of [PrefDivIS].
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1.61 B

          10 Years Trend
Increasing
Slightly volatile
 Net Income 
      Timeline 

Regression Statistics

Arithmetic Mean  543,833,333
Geometric Mean  1,089,129,751
Coefficient Of Variation  324.98
Mean Deviation  1,063,583,333
Median  1,072,000,000
Standard Deviation  1,767,326,272
Range  6,413,000,000
R Value  0.58
R Squared  0.33
Significance  0.049435
Slope  282,895,105

Macys Net Income Over Time

2016-12-31  1,072,000,000 
2017-12-31  1,072,000,000 
2018-12-31  1,610,000,000 

Other Fundumenentals

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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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.