ATT Income Tax Expense Trend

T -- USA Stock  

USD 33.78  0.34  1.02%

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 Income Tax Expense of ATT with missing and latest data points interpolated. Amount of current income tax expense (benefit) and deferred income tax expense (benefit) pertaining to continuing operations.
Income Tax Expense10 Years Trend
Increasing
Slightly volatile
 Income Tax Expense 
      Timeline 

ATT Regression Statistics

Arithmetic Mean 4,341,653,509
Geometric Mean 4,219,985,645
Coefficient Of Variation 79.48
Mean Deviation 2,738,153,509
Median 6,091,000,000
Standard Deviation 3,450,880,923
Range 11,538,000,000
R Value 0.61
R Squared 0.37
Significance 0.036363
Slope 580,923,997

ATT Income Tax Expense Over Time

2016-12-31  6,479,000,000 
2017-12-31  6,479,000,000 
2018-12-31  7,096,842,105 

Other Fundumenentals of ATT

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ATT Fundamental Drivers

ATT Fundamental Market Drivers

Short Percent Of Float1.18%
Forward Price Earnings9.17
Shares Short Prior Month84.47M
Average Daily Volume Last 10 Day30M
Average Daily Volume In Three Month39.69M
Date Short InterestAugust 15, 2018
Fifty Day Average32.353
Two Hundred Day Average33.384

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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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