Compare Shareholders Equity Per Share Across Equities
You can use any or all of fundamental ratio historical patterns as a complementary method for asset selection as well as a tool for deciding entry and exit points. Many technical investors use fundamentals to limit their universe of possible positions. Check out your portfolio center.
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Cross Equities Shareholders Equity Per Share Analysis
Compare CSX P 475, and Asbury Automotive Shareholders Equity Per Share Over Time
Select Fundamental2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
ABG | 5.9173 | 10.2704 | 12.9518 | 15.9805 | 14.8796 | 11.9582 | 12.4311 | 18.9519 | 23.5423 | 33.8377 | 47.1615 | 106 | 130 | 155 | 163 |
CSX P 475, and Asbury Automotive Shareholders Equity Per Share description
Trending Themes
If you are a self-driven investor, you will appreciate our idea-generating investing themes. Our themes help you align your investments inspirations with your core values and are essential building blocks of your portfolios. A typical investing theme is an unweighted collection of up to 20 funds, stocks, ETFs, or cryptocurrencies that are programmatically selected from a pull of equities with common characteristics such as industry and growth potential, volatility, or market segment.Banking Invested over 40 shares | ||
Automobiles and Trucks Invested over 50 shares | ||
Investor Favorites Invested over 200 shares | ||
Hedge Favorites Invested over 50 shares | ||
Macroaxis Index Invested few shares | ||
Momentum Invested over 40 shares | ||
Impulse Invested few shares | ||
Investing Invested few shares | ||
Technology Invested few shares | ||
Check out your portfolio center.Note that this page's information should be used as a complementary analysis to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
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