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 Genfit, and US404139AJ64 Return On Equity Over Time
Select Fundamental| 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| GNFT | 0.1329 | (2.1722) | (0.7919) | (0.8978) | (0.2417) | (0.3092) | (0.2358) | (0.5623) | (3.7977) | (0.7749) | 6.2629 | 0.5647 | (0.2509) | (0.4252) | (0.45) |
Genfit, and US404139AJ64 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. | Macroaxis Index Invested few shares | |
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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 Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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