T Net Income Trend

T -- USA Stock  

USD 32.19  0.19  0.59%

This module enables investors to look at T 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 T Valuation or Volatility. It can also complement various T Technical models. Also please take a look at analysis of T Correlation with competitors.
Showing smoothed Net Income of T 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 T financial statement analysis. It represents the amount of money remaining after all of T 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 Net Income to Non Controlling Interests from Consolidated Income, and before the deduction of Preferred Dividends.
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30.64 B

          10 Years Trend
Increasing
Slightly volatile
 Net Income 
      Timeline 

Regression Statistics

Arithmetic Mean  11,872,384,615
Coefficient Of Variation  69.25
Mean Deviation  5,742,911,243
Median  12,138,000,000
Standard Deviation  8,221,098,938
Range  33,265,000,000
R Value  0.52
R Squared  0.27
Significance  0.07
Slope  1,102,043,956

T Net Income Over Time

2016-12-31  12,976,000,000 
2017-12-31  12,976,000,000 
2018-12-31  30,640,000,000 

Other Fundumenentals

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Upcoming Events

T Upcoming Company Events
Upcoming Quarterly ReportOctober 27, 2017
Next Earnings ReportJanuary 24, 2018
Also please take a look at analysis of T Correlation with competitors. Please also try Insider Screener module to find insiders across different sectors to evaluate their impact on performance.