Digimarc Price to Sales Ratio Trend

DMRC -- USA Stock  

USD 29.78  0.27  0.90%

This module enables investors to look at Digimarc 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 9.2 M, Gross Profit of 15.2 M or Operating Expenses of 35 M, but also many exotic indicators such as Calculated Tax Rate of 42.9559, PPandE Turnover of 8.7219 or Receivables Turnover of 5.6991. This module is a perfect complement to use when analyzing Digimarc Valuation or Volatility. It can also complement various Digimarc Technical models. Additionally see analysis of Digimarc Correlation with competitors.
Showing smoothed Price to Sales Ratio of Digimarc Corporation with missing and latest data points interpolated. Price to Sales Ratio is figured by comparing Digimarc stock price to its revenues. An advantage to using Price to Sales ratio is that it is based on Digimarc sales, a figure that is much harder to manipulate than other Digimarc 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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13.72 times

          10 Years Trend
Increasing
Slightly volatile
 Price to Sales Ratio 
      Timeline 

Regression Statistics

Arithmetic Mean  7.93
Geometric Mean  7.03
Coefficient Of Variation  50.75
Mean Deviation  3.46
Median  6.86
Standard Deviation  4.03
Sample Variance  16.21
Range  10.57
R Value  0.77
Mean Square Error  7.34
R Squared  0.59
Significance  0.003605
Slope  0.86
Total Sum of Squares  178.33

Digimarc Price to Sales Ratio Over Time

2016-12-31  12.65 
2017-12-31  12.65 
2018-12-31  13.72 

Other Fundumenentals

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Digimarc Upcoming Company Events

Upcoming Quarterly ReportApril 26, 2017
Next Earnings ReportJuly 25, 2017
Additionally see analysis of Digimarc Correlation with competitors. Please also try Portfolio Suggestion module to get suggestions outside of your existing asset allocation including your own model portfolios.