Ford Motor Depreciation Amortization and Accretion Trend

F -- USA Stock  

USD 11.87  0.22  1.89%

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 Depreciation Amortization and Accretion of Ford Motor Company with missing and latest data points interpolated. A component of operating cash flow representing the aggregate net amount of depreciation, amortization, and accretion recognized during an accounting period. As a non-cash item, the net amount is added back to net income when calculating cash provided by or used in operations using the indirect method.
Depreciation Amortization and Accretion10 Years Trend
Increasing
Slightly volatile
 Depreciation Amortization and Accretion 
      Timeline 

Regression Statistics

Arithmetic Mean  7,768,271,255
Geometric Mean  7,749,708,933
Coefficient Of Variation  7.37
Mean Deviation  478,067,892
Median  7,423,000,000
Standard Deviation  572,773,922
Range  1,357,526,316
R Value  0.80
R Squared  0.64
Significance  0.001019
Slope  117,693,175

Ford Motor Depreciation Amortization and Accretion Over Time

2016-12-31  8,717,000,000 
2017-12-31  8,717,000,000 
2018-12-31  8,780,526,316 

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 Coins and Tokens Correlation module to utilize digital token correlation table to build portfolio of cryptocurrencies across multiple exchanges.