Ford Motor Net Cash Flow from Financing Trend

F -- USA Stock  

USD 11.83  0.16  1.33%

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 Consolidated Income of 6.3 B or Cost of Revenue of 140.5 B, but also many exotic indicators such as Interest Coverage of 5.4343 or Long Term Debt to Equity of 1.8897. 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 Net Cash Flow from Financing of Ford Motor Company with missing and latest data points interpolated. A component of Net Cash Flow or Change in Cash and Cash Equivalents representing the amount of cash inflow (outflow) from financing activities, from continuing and discontinued operations. Principal components of financing cash flow are: issuance (purchase) of equity shares, issuance (repayment) of debt securities, and payment of dividends & other cash distributions.
Net Cash Flow from Financing10 Years Trend
Slightly volatile
 Net Cash Flow from Financing 

Regression Statistics

Arithmetic Mean (967,141,700)
Geometric Mean  7,595,617,594
Coefficient Of Variation (1,260)
Mean Deviation  9,651,099,969
Median  3,423,000,000
Standard Deviation  12,184,109,744
Range  38,743,000,000
R Value  0.69
R Squared  0.48
Significance  0.008763
Slope  2,165,192,019

Ford Motor Net Cash Flow from Financing Over Time

2016-12-31  7,458,000,000 
2017-12-31  7,458,000,000 
2018-12-31  11,463,157,895 

Other Fundumenentals

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Upcoming Events

Ford Motor Upcoming Company Events
Upcoming Quarterly ReportApril 27, 2017
Next Earnings ReportJuly 27, 2017
Additionally see analysis of Ford Motor Correlation with competitors. Please also try Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.