Ford Motor Cash and Equivalents Over Time

Ford Motor Company -- USA Stock  

USD 11.02  0.06  0.55%

With this module investors can use any or all of fundamental ratio historical patterns as a complementary method for asset selection as well a as a tool for deciding entry and exit points. Many technical investors use fundamentals to limit their universe of possible portfolio assets. Additionally see Ford Motor Performance and Ford Motor Correlation.

Ford Motor and related stocks such as General Motors, Navistar International, Polaris Industries, Thor Industries, PACCAR, Tesla, Chevron, E I du Cash and Equivalents Over Time

2006200720082009201020112012201320142015201620172018
7.2 B35.3 B22 B20.9 B14.8 B17.1 B15.7 B14.5 B10.8 B14.3 B15.9 B15.9 B26.5 B
22.2 B22.2 B22.2 B22.2 B22.2 B16.1 B18.4 B20 B19 B15.2 B13 B13 B19.5 B
922 M1.4 B1.7 B765 M866 M1.2 B846 M668 M1 B916 M916 M916 M947 M
82.8 M127.3 M127.3 M127.3 M127.3 M127.3 M127.3 M127.3 M127.3 M127.3 M127.3 M127.3 M138.3 M
132.1 M113.2 M113.2 M113.2 M113.2 M113.2 M113.2 M113.2 M113.2 M113.2 M113.2 M113.2 M109.8 M
655.2 M1.9 B2 B1.9 B2 B2.1 B1.3 B1.8 B1.7 B2 B1.9 B1.9 B3.6 B
73.2 M73.2 M73.2 M73.2 M178 M286.8 M226.1 M852.3 M1.9 B1.2 B1.2 B1.2 B3.4 B
2.1 B7.4 B9.3 B8.7 B16.9 B19.8 B21.6 B16.3 B12.8 B11 B7 B7 B4.8 B
5.8 B1.3 B3.6 B4 B4.3 B3.6 B4.3 B8.9 B6.9 B5.3 B4.6 B4.6 B6.2 B

Ford Motor and related stocks such as General Motors, Navistar International, Polaris Industries, Thor Industries, PACCAR, Tesla, Chevron, E I du Cash and Equivalents description

A component of Total Assets representing the amount of currency on hand as well as demand deposits with banks or financial institutions.

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F - USA Stock
Ford Motor Company
Fama & French Automobiles and Trucks
Automobiles and Trucks
Fama & French Classification
RegionNorth America
ExchangeNew York Stock Exchange
$11.02
Additionally see Ford Motor Performance and Ford Motor Correlation. Please also try Watchlist Optimization module to optimize watchlists to build efficient portfolio or rebalance existing positions based on mean-variance optimization algorithm.