Compare Net Income 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.
Cross Equities Net Income Per Share Analysis
Compare Xponential Fitness, and Avis Budget Group Net Income Per Share Over Time
Select Fundamental| 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| XPOF | (1.8473) | (1.8473) | (1.8473) | (1.8473) | (1.8473) | (1.8473) | (1.8473) | (1.8473) | (1.8473) | (1.6149) | (0.5932) | (2.1525) | 0.1137 | (0.5506) | (0.58) |
| CAR | 8.4 | (0.2757) | 2.7205 | 0.1487 | 2.3245 | 3.0271 | 1.7717 | 4.3285 | 2.0807 | 4.016 | (9.7021) | 19.7997 | 58.4355 | 42.611 | 44.74 |
Xponential Fitness, and Avis Budget Group Net Income 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. | Social Domain Invested few shares | |
 | Real Estate Invested over 20 shares | |
 | Investor Favorites Invested few shares | |
 | Farming Invested few shares | |
 | Macroaxis Index Invested over 100 shares | |
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 | Driverless Cars Invested over 100 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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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