T Total Debt Trend

T -- USA Stock  

USD 32.00  0.39  1.20%

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 Total Debt of T with missing and latest data points interpolated. Total Debt of T is a combination of both T short-term and long-term liabilities. Short-term debts are those that must be paid back within a year. This type of debt applies to things like lines of credit or short-term term bonds. Long-term debt of T includes liability that must be paid off in more than a year. This typically includes large senior debts like mortgages, bonds, as well as business loans or leases. A component of Total Liabilities representing the total amount of current and non-current debt owed. Includes secured and unsecured bonds issued, commercial paper, notes payable, credit facilities, lines of credit, capital lease obligations, and convertible notes.
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163.83 B

          10 Years Trend
Increasing
Slightly volatile
 Total Debt 
      Timeline 

Regression Statistics

Arithmetic Mean  87,057,384,615
Geometric Mean  79,701,049,778
Coefficient Of Variation  42.06
Mean Deviation  29,042,686,391
Median  74,788,000,000
Standard Deviation  36,620,108,760
Range  137,664,000,000
R Value  0.89
R Squared  0.79
Significance  0.00004919
Slope  8,355,170,330

T Total Debt Over Time

2016-12-31  123,513,000,000 
2017-12-31  123,513,000,000 
2018-12-31  163,830,000,000 

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 Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.