Intel Average Assets Trend

This module enables investors to look at Intel 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 12.1 B, Cost of Revenue of 27.3 B or Earning Before Interest and Taxes EBIT of 15.7 B, but also many exotic indicators such as Interest Coverage of 34.1123, Long Term Debt to Equity of 0.362 or Calculated Tax Rate of 23.7579. This module is a perfect complement to use when analyzing Intel Valuation or Volatility. It can also complement various Intel Technical models. See also Risk vs Return Analysis.
Showing smoothed Average Assets of Intel Corporation with missing and latest data points interpolated. Average asset value for the period used in calculation of Return on Average Equity and Return on Average Assets; derived from Total Assets.
Average Assets10 Years Trend
Slightly volatile
 Average Assets 

Intel Regression Statistics

Arithmetic Mean 85,522,742,647
Geometric Mean 81,317,582,385
Coefficient Of Variation 31.64
Mean Deviation 22,687,077,206
Median 91,560,250,000
Standard Deviation 27,056,813,072
Range 84,534,661,765
R Value 0.99
R Squared 0.97
Significance 0
Slope 7,404,190,662

Intel Average Assets Over Time

2016-12-31  110,210,500,000 
2017-12-31  110,210,500,000 
2018-12-31  129,659,411,765 

Other Fundumenentals of Intel

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Intel Fundamental Drivers

Intel Corporation Fundamental Market Drivers

Short Percent Of Float1.71%
Forward Price Earnings10.62
Shares Short Prior Month83.31M
Average Daily Volume Last 10 Day23.01M
Average Daily Volume In Three Month24.85M
Date Short InterestAugust 15, 2018
Fifty Day Average47.9734
Two Hundred Day Average51.2289

Intel Upcoming Events

Intel Upcoming Company Events

Upcoming Quarterly ReportApril 18, 2017
Next Earnings ReportJuly 19, 2017
See also Risk vs Return Analysis. Please also try Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.