Apple Total Debt USD Trend

AAPL -- USA Stock  

USD 222.47  3.16  1.44%

This module enables investors to look at Apple 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 53.7 B, Cost of Revenue of 154.6 B or Earning Before Interest and Taxes EBIT of 72.2 B, but also many exotic indicators such as Long Term Debt to Equity of 0.6919, Calculated Tax Rate of 30.0674 or PPandE Turnover of 10.2823. This module is a perfect complement to use when analyzing Apple Valuation or Volatility. It can also complement various Apple Technical models. Check also analysis of Apple Correlation with competitors.
Showing smoothed Total Debt USD of Apple with missing and latest data points interpolated. Total Debt in USD; converted by [FXUSD].
Total Debt USD10 Years Trend
Increasing
Slightly volatile
 Total Debt USD 
      Timeline 

Apple Regression Statistics

Arithmetic Mean 45,685,549,020
Geometric Mean 25,281,328,329
Coefficient Of Variation 80.79
Mean Deviation 33,231,140,523
Median 35,295,000,000
Standard Deviation 36,907,309,030
Range 102,073,588,235
R Value 0.94
R Squared 0.89
Significance 0.00000511
Slope 9,632,029,617

Apple Total Debt USD Over Time

2016-12-31  87,032,000,000 
2017-12-31  87,032,000,000 
2018-12-31  102,390,588,235 

Other Fundumenentals of Apple

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Apple Fundamental Drivers

Apple Fundamental Market Drivers

Short Percent Of Float0.79%
Forward Price Earnings15.72
Shares Short Prior Month47.55M
Average Daily Volume Last 10 Day34.7M
Average Daily Volume In Three Month31.16M
Date Short InterestSeptember 28, 2018
Fifty Day Average222.66
Two Hundred Day Average197.54

Apple Upcoming Events

Apple Upcoming Company Events

Upcoming Quarterly ReportOctober 24, 2017
Next Earnings ReportJanuary 30, 2018
Check also analysis of Apple Correlation with competitors. Please also try Alpha Finder module to use alpha and beta coefficients to find investment opportunities after accounting for the risk.
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