Digirad Net Cash Flow or Change in Cash and Cash Equivalents Trend

DRAD -- USA Stock  

USD 1.60  0.025  1.54%

This module enables investors to look at Digirad 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 25.5 M, Cost of Revenue of 50.5 M or Earning Before Interest and Taxes EBIT of 3.3 M, but also many exotic indicators such as Asset Turnover of 1.2953, Book Value per Share of 3.2835 or Current Ratio of 1.62. This module is a perfect complement to use when analyzing Digirad Valuation or Volatility. It can also complement various Digirad Technical models. Additionally see analysis of Digirad Correlation with competitors.
Showing smoothed Net Cash Flow or Change in Cash and Cash Equivalents of Digirad Corporation with missing and latest data points interpolated. Principal component of the cash flow statement representing the amount of increase (decrease) in cash and cash equivalents. Includes Net Cash Flow from Operations
Net Cash Flow or Change in Cash and Cash Equivalents10 Years Trend
Increasing
Very volatile
 Net Cash Flow or Change in Cash and Cash Equivalents 
      Timeline 

Regression Statistics

Arithmetic Mean  617,554
Geometric Mean  1,538,222
Coefficient Of Variation  525.47
Mean Deviation  2,406,295
Median  1,817,000
Standard Deviation  3,245,080
Range  11,592,000
R Value  0.042023
R Squared  0.001766
Significance  0.90
Slope  37,822

Digirad Net Cash Flow or Change in Cash and Cash Equivalents Over Time

2016-12-31  1,817,000 
2017-12-31  1,817,000 
2018-12-31  2,137,647 

Other Fundumenentals

Thematic Opportunities

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Digirad Upcoming Company Events

Upcoming Quarterly ReportMay 5, 2017
Next Earnings ReportJuly 27, 2017
Additionally see analysis of Digirad Correlation with competitors. Please also try Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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