Verint Systems Net Income Trend

VRNT -- USA Stock  

USD 48.05  0.45  0.93%

This module enables investors to look at Verint Systems 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 26.2 M, Cost of Revenue of 504.6 M or Earning Before Interest and Taxes EBIT of 61.7 M, but also many exotic indicators such as Interest Coverage of 2.4641, Long Term Debt to Equity of 0.8167 or Calculated Tax Rate of 4.8318. This module is a perfect complement to use when analyzing Verint Systems Valuation or Volatility. It can also complement various Verint Systems Technical models. Also please take a look at analysis of Verint Systems Correlation with competitors.
Showing smoothed Net Income of Verint Systems with missing and latest data points interpolated. Net income is one of the most important fundamental items in finance. It plays a large role in Verint Systems financial statement analysis. It represents the amount of money remaining after all of Verint Systems operating expenses, interest, taxes and preferred stock dividends have been deducted from a company total revenue. The portion of profit or loss for the period
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10.94 M

          10 Years Trend
Increasing
Slightly volatile
 Net Income 
      Timeline 

Regression Statistics

Arithmetic Mean  16,834,250
Coefficient Of Variation  205.36
Mean Deviation  19,917,333
Median  17,638,000
Standard Deviation  34,571,132
Range  134,390,000
R Value  0.34
R Squared  0.12
Significance  0.28
Slope  3,287,661

Verint Systems Net Income Over Time

2016-12-31  17,638,000 
2017-12-31  17,638,000 
2018-12-31  10,940,000 

Other Fundumenentals

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Verint Systems Upcoming Company Events

Upcoming Quarterly ReportApril 4, 2017
Next Earnings ReportJune 6, 2017
Also please take a look at analysis of Verint Systems Correlation with competitors. Please also try Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.