Sprint Trade and Non Trade Receivables Trend

S -- USA Stock  

USD 6.42  0.06  0.94%

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 Trade and Non Trade Receivables of Sprint Corporation with missing and latest data points interpolated. A component of Total Assets representing trade and non-trade receivables.
Trade and Non Trade Receivables10 Years Trend
Decreasing
Slightly volatile
 Trade and Non Trade Receivables 
      Timeline 

Sprint Regression Statistics

Arithmetic Mean 2,521,161,765
Geometric Mean 2,260,934,616
Coefficient Of Variation 42.68
Mean Deviation 954,311,275
Median 3,036,000,000
Standard Deviation 1,076,157,396
Range 2,559,000,000
R Value(0.83)
R Squared 0.69
Significance 0.00080726
Slope(248,086,179)

Sprint Trade and Non Trade Receivables Over Time

2016-12-31  1,099,000,000 
2017-12-31  1,099,000,000 
2018-12-31  1,292,941,176 

Other Fundumenentals of Sprint

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Sprint Fundamental Drivers

Sprint Corporation Fundamental Market Drivers

Short Percent Of Float20.33%
Forward Price Earnings157.75
Shares Short Prior Month134.17M
Average Daily Volume Last 10 Day8.42M
Average Daily Volume In Three Month9.75M
Date Short InterestAugust 15, 2018
Fifty Day Average5.94
Two Hundred Day Average5.52

Sprint 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 Price Transformation module to use price transformation models to analyze depth of different equity instruments across global markets.
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