Gartner Cost of Revenue Trend

IT -- USA Stock  

USD 137.94  0.65  0.47%

This module enables investors to look at Gartner 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 194.3 M, Cost of Revenue of 939.3 M or Earning Before Interest and Taxes EBIT of 321.4 M, but also many exotic indicators such as Interest Coverage of 13.688, Long Term Debt to Equity of 12.8394 or Calculated Tax Rate of 35.9804. This module is a perfect complement to use when analyzing Gartner Valuation or Volatility. It can also complement various Gartner Technical models. Please also check analysis of Gartner Correlation with competitors.
Showing smoothed Cost of Revenue of Gartner with missing and latest data points interpolated. Cost of Revenue is found on Gartner income statement and represents the costs associated with goods and services Gartner provides. Indirect cost, such as salaries, is not included. In other words, cost of revenue is the total cost incurred to obtain a sale. It is more than the traditional cost of goods sold, since it includes specific selling and marketing activities. The aggregate cost of goods produced and sold and services rendered during the reporting period.
Cost of Revenue10 Years Trend
Slightly volatile
 Cost of Revenue 

Regression Statistics

Arithmetic Mean  697,599,109
Geometric Mean  676,722,545
Coefficient Of Variation  25.56
Mean Deviation  153,157,348
Median  659,067,000
Standard Deviation  178,333,185
Range  495,177,000
R Value  0.96
R Squared  0.93
Significance  0.0000001
Slope  44,178,888

Gartner Cost of Revenue Over Time

2016-12-31  945,648,000 
2017-12-31  945,648,000 
2018-12-31  939,328,421 

Other Fundumenentals

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Upcoming Events

Gartner Upcoming Company Events
Upcoming Quarterly ReportMay 4, 2017
Next Earnings ReportAugust 3, 2017
Please also check analysis of Gartner Correlation with competitors. Please also try Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.