ATT Weighted Average Shares Trend

T -- USA Stock  

USD 30.90  0.21  0.68%

This module enables investors to look at ATT 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 14.2 B or Cost of Revenue of 55.7 B, but also many exotic indicators such as Interest Coverage of 5.776 or Long Term Debt to Equity of 0.9944. This module is a perfect complement to use when analyzing ATT Valuation or Volatility. It can also complement various ATT Technical models. Also please take a look at analysis of ATT Correlation with competitors.
Showing smoothed Weighted Average Shares of ATT with missing and latest data points interpolated. The weighted average number of shares or units issued and outstanding that are used by the company to calculate Earnings per Basic Share; determined based on the timing of issuance of shares or units in the period.
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7.28 B

          10 Years Trend
Increasing
Slightly volatile
 Weighted Average Shares 
      Timeline 

ATT Regression Statistics

Arithmetic Mean 5,736,713,387
Geometric Mean 5,656,624,698
Coefficient Of Variation 15.91
Mean Deviation 575,048,817
Median 5,910,000,000
Standard Deviation 912,778,433
Range 3,918,439,354
R Value 0.63
R Squared 0.40
Significance 0.028197
Slope 159,425,989

ATT Weighted Average Shares Over Time

2015  6,152,000,000 
2016  6,141,000,000 
2018  7,280,000,000 

Other Fundumenentals of ATT

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ATT Fundamental Drivers

ATT Fundamental Market Drivers

Short Percent Of Float1.04%
Forward Price Earnings8.57
Shares Short Prior Month71.24M
Average Daily Volume Last 10 Day33.22M
Average Daily Volume In Three Month35.01M
Date Short InterestOctober 15, 2018
Fifty Day Average32.21
Two Hundred Day Average32.36

ATT Upcoming Events

ATT Upcoming Company Events

Upcoming Quarterly ReportOctober 27, 2017
Next Earnings ReportJanuary 24, 2018
Also please take a look at analysis of ATT Correlation with competitors. Please also try Pattern Recognition module to use different pattern recognition models to time the market across multiple global exchanges.
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