Compare Revenue 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.
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Cross Equities Revenue Per Share Analysis
Compare CONSOLIDATED EDISON, and TFI International Revenue Per Share Over Time
Select Fundamental| 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | 2025 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| TFII | 6.3186 | 27.6168 | 33.3125 | 31.5424 | 32.1803 | 28.9806 | 31.9578 | 41.6625 | 42.7605 | 47.543 | 42.4308 | 77.594 | 98.6178 | 87.5491 | 99.2433 | 104 |
CONSOLIDATED EDISON, and TFI International Revenue Per Share description
The amount of revenue generated by a company per share of stock, calculated by dividing total revenue by the average number of shares outstanding.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. | Artificial Intelligence Invested few shares | |
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 | Investor Favorites Invested few shares | |
 | Hedge Favorites Invested over 60 shares | |
 | Momentum Invested over 60 shares | |
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 | Chemicals Invested over 30 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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