Ford Motor Book Value Per Share Trend

F -- USA Stock  

USD 8.50  0.04  0.00%

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 112.2 B or Consolidated Income of 5.2 B, but also many exotic indicators such as Interest Coverage of 4.8808 or Long Term Debt to Equity of 3.7249. 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 analysis of Ford Motor Correlation with competitors.
Showing smoothed Book Value per Share of Ford Motor Company with missing and latest data points interpolated. Measures the ratio between [Equity] and [SharesWA].
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9.20X

          10 Years Trend
Increasing
Very volatile
 Book Value per Share 
      Timeline 

Ford Motor Regression Statistics

Arithmetic Mean 7.28
Geometric Mean 5.23
Coefficient Of Variation 95.63
Mean Deviation 4.24
Median 7.22
Standard Deviation 6.96
Sample Variance 48.40
Range 28.33
R Value 0.049494
Mean Square Error 53.11
R Squared 0.00245
Significance 0.88
Slope 0.1
Total Sum of Squares 532.45

Ford Motor Book Value Per Share Over Time

2017  8.96 
2018  10.30 
2019  9.47 

Other Fundumenentals of Ford Motor

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Ford Motor Fundamental Drivers

Ford Motor Company Fundamental Market Drivers

Short Percent Of Float2.71%
Forward Price Earnings6.43
Shares Short Prior Month95.69M
Average Daily Volume Last 10 Day51.98M
Average Daily Volume In Three Month49.2M
Date Short InterestDecember 31, 2018
Fifty Day Average8.51
Two Hundred Day Average9.37

Ford Motor Upcoming Events

Ford Motor Upcoming Company Events

Upcoming Quarterly ReportJuly 25, 2018
Next Earnings ReportOctober 25, 2018
Additionally see analysis of Ford Motor Correlation with competitors. Please also try Technical Analysis module to check basic technical indicators and analysis based on most latest market data.
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