Compare Return On Equity 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 Return On Equity Analysis
Compare American Axle Manufa, and RBACN 775 15 Return On Equity Over Time
Select Fundamental| 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | 2025 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| AXL | 0.0864 | (0.3403) | (3.0439) | 2.8125 | 1.261 | 0.7814 | 0.4542 | 0.2189 | (0.0387) | (0.4952) | (1.5144) | 0.0129 | 0.1025 | (0.0555) | (0.0639) | (0.0607) |
American Axle Manufa, and RBACN 775 15 Return On Equity description
Return on Equity is the amount of entities net income returned as a percentage of companies equity. Return on equity measures companies profitability by revealing how much profit organizations generates with the money shareholders have invested. A measure of the profitability of a business in relation to the equity, calculated by dividing net income by shareholder's equity.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. | USD Crypto Fund Invested less than 1 share | |
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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