Compare Ev To Sales 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 Sales Analysis
Compare Chevron Corp, and UNITEDHEALTH GROUP INC Ev To Sales Over Time
Select Fundamental| 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| CVX | 0.9347 | 0.8415 | 0.8768 | 1.1067 | 1.1289 | 1.5056 | 2.3209 | 2.0023 | 1.4572 | 1.7738 | 2.0815 | 1.6103 | 1.4944 | 1.5158 | 0.95 |
Chevron Corp, and UNITEDHEALTH GROUP INC Ev To Sales description
The Enterprise Value to Sales ratio, a valuation metric used to compare the value of a company, including debt and excluding cash, to its sales revenue.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. | Hedge Favorites Invested over 40 shares | |
 | Momentum Invested over 200 shares | |
 | Warren Buffett Holdings Invested few shares | |
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 | Impulse Invested few shares | |
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 | Semiconductor 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 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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