ATT Cash and Equivalents Turnover Trend

T -- USA Stock  

USD 32.26  0.05  0.16%

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 Cash and Equivalents Turnover of ATT with missing and latest data points interpolated.
Cash and Equivalents Turnover10 Years Trend
Decreasing
Slightly volatile
 Cash and Equivalents Turnover 
      Timeline 

Regression Statistics

Arithmetic Mean  38.30
Geometric Mean  35.94
Coefficient Of Variation  37.77
Mean Deviation  12.45
Median  31.56
Standard Deviation  14.47
Sample Variance  209.27
Range  44.36
R Value (0.83)
Mean Square Error  73.08
R Squared  0.68
Significance  0.00092674
Slope (3.31)
Total Sum of Squares  2,302

ATT Cash and Equivalents Turnover Over Time

2016-12-31  29.95 
2017-12-31  29.95 
2018-12-31  27.02 

Other Fundumenentals

Thematic Opportunities

Explore Investment Opportunities
Build portfolios using Macroaxis predefined set of investing ideas. Many of Macroaxis investing ideas can easily outperform a given market. Ideas can also be optimized per your risk profile before portfolio origination is invoked.
Explore Thematic Ideas
Explore Investing Ideas  

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 Equity Valuation module to check real value of public entities based on technical and fundamental data.