Sprint Inventory Trend

S -- USA Stock  

USD 6.10  0.13  2.09%

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 13.6 B or Gross Profit of 19.1 B, but also many exotic indicators such as Interest Coverage of 0.3627 or Long Term Debt to Equity of 1.2782. 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 Inventory of Sprint Corporation with missing and latest data points interpolated. A component of Total Assets representing the amount after valuation and reserves of inventory expected to be sold; or consumed within one year or operating cycle; if longer.
Inventory10 Years Trend
Increasing
Slightly volatile
 Inventory 
      Timeline 

Sprint Regression Statistics

Arithmetic Mean 1,013,753,655
Geometric Mean 983,724,107
Coefficient Of Variation 24.13
Mean Deviation 207,070,736
Median 1,173,000,000
Standard Deviation 244,587,235
Range 731,000,000
R Value 0.58
R Squared 0.34
Significance 0.046131
Slope 39,622,666

Sprint Inventory Over Time

2015  1,173,000,000 
2018  1,055,700,000 
2019  925,343,860 

Other Fundumenentals of Sprint

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Sprint Fundamental Drivers

Sprint Corporation Fundamental Market Drivers

Short Percent Of Float18.15%
Forward Price Earnings104.33
Shares Short Prior Month98.03M
Average Daily Volume Last 10 Day10M
Average Daily Volume In Three Month13.51M
Date Short InterestNovember 30, 2018
Fifty Day Average6.06
Two Hundred Day Average6.04

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