Best Buy Total Assets Per Share Trend

BBY -- USA Stock  

USD 52.88  3.05  5.45%

This module enables investors to look at Best Buy 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 1.1 B, Cost of Revenue of 35.7 B or Earning Before Interest and Taxes EBIT of 1.7 B, but also many exotic indicators such as Interest Coverage of 20.2206, Long Term Debt to Equity of 0.3598 or Calculated Tax Rate of 45.1729. This module is a perfect complement to use when analyzing Best Buy Valuation or Volatility. It can also complement various Best Buy Technical models. Check also analysis of Best Buy Correlation with competitors.
Showing smoothed Total Assets Per Share of Best Buy Co with missing and latest data points interpolated.
Total Assets Per Share10 Years Trend
Increasing
Slightly volatile
 Total Assets Per Share 
      Timeline 

Best Buy Regression Statistics

Arithmetic Mean 42.53
Geometric Mean 42.14
Coefficient Of Variation 13.31
Mean Deviation 3.84
Median 43.41
Standard Deviation 5.66
Sample Variance 32.04
Range 21.39
R Value 0.47
Mean Square Error 27.58
R Squared 0.22
Significance 0.13
Slope 0.73
Total Sum of Squares 352.45

Best Buy Total Assets Per Share Over Time

2014  43.41 
2015  41.75 
2018  49.12 

Other Fundumenentals of Best Buy

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Best Buy Fundamental Drivers

Best Buy Co Fundamental Market Drivers

Short Percent Of Float9.58%
Forward Price Earnings10.15
Shares Short Prior Month18.68M
Average Daily Volume Last 10 Day4.31M
Average Daily Volume In Three Month3.87M
Date Short InterestNovember 15, 2018
Fifty Day Average66.29
Two Hundred Day Average73.38

Best Buy Upcoming Events

Best Buy Upcoming Company Events

Upcoming Quarterly ReportMarch 1, 2017
Next Earnings ReportMay 23, 2017
Check also analysis of Best Buy Correlation with competitors. Please also try Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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