GK Services Capital Expenditure Trend

GK -- USA Stock  

null 97.50  0.00  0.00%

This module enables investors to look at GK Services 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 85.2 M, Cost of Revenue of 756.5 M or Earning Before Interest and Taxes EBIT of 144.3 M, but also many exotic indicators such as Interest Coverage of 21.1093, Long Term Debt to Equity of 0.6981 or Calculated Tax Rate of 44.0558. This module is a perfect complement to use when analyzing GK Services Valuation or Volatility. It can also complement various GK Services Technical models. Please also check Risk vs Return Analysis.
Showing smoothed Capital Expenditure of GK Services with missing and latest data points interpolated. A component of Net Cash Flow from Investing representing the net cash inflow (outflow) associated with the acquisition & disposal of long-lived; physical & intangible assets that are used in the normal conduct of business to produce goods and services and are not intended for resale. Includes cash inflows/outflows to pay for construction of self-constructed assets & software.
Capital Expenditure10 Years Trend
Decreasing
Slightly volatile
 Capital Expenditure 
      Timeline 

GK Services Regression Statistics

Arithmetic Mean(36,865,647)
Geometric Mean 34,679,324
Coefficient Of Variation(34.05)
Mean Deviation 10,151,422
Median(34,115,000)
Standard Deviation 12,553,746
Range 39,128,000
R Value(0.80)
R Squared 0.64
Significance 0.001794
Slope(2,784,376)

GK Services Capital Expenditure Over Time

2016-12-31 (45,349,000) 
2017-12-31 (45,349,000) 
2018-12-31 (53,351,765) 

Other Fundumenentals of GK Services

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GK Services Upcoming Events

GK Services Upcoming Company Events

Upcoming Quarterly ReportApril 25, 2017
Next Earnings ReportAugust 15, 2017
Please also check Risk vs Return Analysis. Please also try Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
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