Ford Motor Debt to Equity Trend

F -- USA Stock  

USD 8.79  0.08  0.90%

This module enables investors to look at Ford Motor 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 Direct Expenses of 135.7 B or Consolidated Income of 6.4 B, but also many exotic indicators such as Interest Coverage of 7.3801 or Long Term Debt to Equity of 3.2322. This module is a perfect complement to use when analyzing Ford Motor Valuation or Volatility. It can also complement various Ford Motor Technical models. Additionally see Investing Opportunities.
Showing smoothed Debt to Equity Ratio of Ford Motor Company with missing and latest data points interpolated. Measures the ratio between Total Liabilities and Shareholders Equity.
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417.90 %

          10 Years Trend
 Debt to Equity Ratio 
      Timeline 

Ford Motor Regression Statistics

Arithmetic Mean 16.35
Coefficient Of Variation 890.55
Mean Deviation 66.93
Median 7.15
Standard Deviation 145.60
Sample Variance 21,199
Range 663.56
R Value 0.53
Mean Square Error 16,653
R Squared 0.29
Significance 0.07
Slope 21.59
Total Sum of Squares 233,194

Ford Motor Debt to Equity Over Time

2016-12-31  7.15 
2017-12-31  6.26 
2018-12-31  417.90 

Other Fundumenentals of Ford Motor

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Ford Motor Fundamental Drivers

Ford Motor Company Fundamental Market Drivers

Short Percent Of Float3.02%
Forward Price Earnings6.35
Shares Short Prior Month109.68M
Average Daily Volume Last 10 Day48.37M
Average Daily Volume In Three Month42.43M
Date Short InterestSeptember 14, 2018
Fifty Day Average9.43
Two Hundred Day Average10.63

Ford Motor Upcoming Events

Ford Motor Upcoming Company Events

Upcoming Quarterly ReportJuly 25, 2018
Next Earnings ReportOctober 25, 2018
Additionally see Investing Opportunities. Please also try Instant Ratings module to determine any equity ratings based on digital recommendations. macroaxis instant equity ratings are based on combination of fundamental analysis and risk-adjusted market performance.
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