Sprint Price to Sales Ratio Trend

S -- USA Stock  

USD 5.56  0.03  0.54%

This module enables investors to look at Sprint 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 Cost of Revenue of 17.9 B or Earning Before Interest and Taxes EBIT of 385.9 M, but also many exotic indicators such as Interest Coverage of 0.1671 or Long Term Debt to Equity of 1.7405. This module is a perfect complement to use when analyzing Sprint Valuation or Volatility. It can also complement various Sprint Technical models. Also please take a look at analysis of Sprint Correlation with competitors.
Showing smoothed Price to Sales Ratio of Sprint Corporation with missing and latest data points interpolated. Price to Sales Ratio is figured by comparing Sprint stock price to its revenues. An advantage to using Price to Sales ratio is that it is based on Sprint sales, a figure that is much harder to manipulate than other Sprint Corporation multiples. Because sales tend to be more stable P/S ratio can be a good tool for screening cyclical companies fluctuating earnings patterns. An alternative calculation method to [PS]
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0.70 times

          10 Years Trend
Increasing
Stable
 Price to Sales Ratio 
      Timeline 

Regression Statistics

Arithmetic Mean  0.59
Geometric Mean  0.46
Coefficient Of Variation  91.93
Mean Deviation  0.32
Median  0.43
Standard Deviation  0.54
Sample Variance  0.29
Range  2.07
R Value  0.13
Mean Square Error  0.32
R Squared  0.016233
Significance  0.69
Slope  0.019112
Total Sum of Squares  3.22

Sprint Price to Sales Ratio Over Time

2016-12-31  0.43 
2017-12-31  0.43 
2018-12-31  0.70 

Other Fundumenentals

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Sprint Upcoming Company Events

Upcoming Quarterly ReportMay 2, 2017
Next Earnings ReportJuly 24, 2017
Also please take a look at analysis of Sprint Correlation with competitors. Please also try Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.