Compare Ev To Free Cash Flow 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 Ev To Free Cash Flow Analysis
Compare RELIANCE STL ALUM, and Virco Manufacturing Ev To Free Cash Flow Over Time
Select Fundamental| 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | 2025 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| VIRC | (16.1278) | (11.062) | 8.0333 | (11.6048) | (26.9553) | 16.2125 | 48.4992 | (7.4871) | (28.3842) | 18.6775 | 13.3848 | (22.5879) | (15.6827) | 9.2983 | 10.69 | 5.79 |
RELIANCE STL ALUM, and Virco Manufacturing Ev To Free Cash Flow description
A valuation metric comparing the company's enterprise value to its free cash flow, used to evaluate whether a company is undervalued or overvalued.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 | |
 | Macroaxis Index Invested over 10K shares | |
 | Manufacturing Invested over 40 shares | |
 | Momentum Invested over 40 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 Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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