Intel Free Cash Flow Trend

INTC -- USA Stock  

USD 52.50  0.31  0.59%

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. Please also check analysis of Intel Correlation with competitors.
Showing smoothed Free Cash Flow of Intel Corporation with missing and latest data points interpolated. Free Cash Flow is a measure of financial performance calculated as Net Cash Flow from Operations minus Capital Expenditure.
Free Cash Flow10 Years Trend
Slightly volatile
 Free Cash Flow 

Regression Statistics

Arithmetic Mean  9,899,841,629
Geometric Mean  8,875,305,887
Coefficient Of Variation  34.53
Mean Deviation  2,436,234,598
Median  10,313,000,000
Standard Deviation  3,418,179,366
Range  12,852,941,176
R Value  0.86
R Squared  0.73
Significance  0.00019067
Slope  751,053,006

Intel Free Cash Flow Over Time

2016-12-31  12,183,000,000 
2017-12-31  12,183,000,000 
2018-12-31  14,332,941,176 

Other Fundumenentals

Thematic Opportunities

Explore Investment Opportunities
Build portfolios using Macroaxis predefined set of investing ideas. Many of Macroaxis investing ideas can easily outperform a given market. Ideas can also be optimized per your risk profile before portfolio origination is invoked.
Explore Thematic Ideas
Explore Investing Ideas  

Upcoming Events

Intel Upcoming Company Events
Upcoming Quarterly ReportApril 18, 2017
Next Earnings ReportJuly 19, 2017
Please also check analysis of Intel Correlation with competitors. Please also try Watchlist Optimization module to optimize watchlists to build efficient portfolio or rebalance existing positions based on mean-variance optimization algorithm.