Sprint Dividend Yield Trend

S -- USA Stock  

USD 5.47  0.03  0.55%

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 Dividend Yield of Sprint Corporation with missing and latest data points interpolated. Dividend Yield is Sprint Corporation dividend as a percentage of Sprint stock price. Sprint dividend yield is a measure of Sprint stock productivity which can be interpreted as interest rate earned on an Sprint investment. Dividend Yield measures the ratio between a company's Dividends per Basic Common Share and its Adjusted Share Price.
Dividend Yield10 Years Trend
Decreasing
Slightly volatile
 Dividend Yield 
      Timeline 

Regression Statistics

Arithmetic Mean  0.009416
Geometric Mean  0.008843
Coefficient Of Variation  49.90
Mean Deviation  0.002397
Median  0.008
Standard Deviation  0.004699
Sample Variance  0.00002208
Range  0.017
R Value (0.43)
Mean Square Error  0.00001971
R Squared  0.18
Significance  0.15
Slope (0.0005139)
Total Sum of Squares  0.00026492

Sprint Dividend Yield Over Time

2016-12-31  0.008 
2017-12-31  0.008 
2018-12-31  0.009412 

Other Fundumenentals

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Upcoming Events

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