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.
Cross Equities Ev To Sales Analysis
Compare Intergroup, and Kewaunee Scientific Ev To Sales Over Time
Select Fundamental| 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| INTG | 3.4151 | 3.0623 | 2.6576 | 3.4651 | 3.1076 | 3.3553 | 3.5235 | 3.458 | 3.2337 | 4.098 | 9.6289 | 5.8806 | 4.6506 | 4.0192 | 5.64 |
| KEQU | 0.6338 | 0.2238 | 0.3001 | 0.3705 | 0.3688 | 0.339 | 0.3952 | 0.572 | 0.4238 | 0.2546 | 0.2988 | 0.2649 | 0.2228 | 0.4442 | 0.37 |
Intergroup, and Kewaunee Scientific 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. | Macroaxis Index Invested over 90 shares | |
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 | ESG Investing Invested few 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 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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