Compare Net Income Per E B T 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 E B T Analysis
Select Fundamental
| 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| CCEC | 0.6828 | 0.962 | 0.9698 | 0.9771 | 0.9865 | 0.984 | 0.979 | 0.9829 | 0.9538 | 0.9903 | 0.9856 | 0.9856 | 0.9856 | 0.89 | 0.74 |
| SNDA | 0.8222 | 0.5476 | 0.7516 | 1.536 | 1.0307 | 1.0672 | 1.0158 | 1.0599 | 0.968 | 1.0126 | 1.0013 | 0.9954 | 1.0016 | 1.0121 | 0.65 |
| HCM | 1.0875 | 0.1471 | 0.3337 | 0.5874 | 0.8162 | (0.7583) | (0.247) | 0.4994 | 0.8633 | 1.0232 | 1.0255 | 1.0552 | 0.9993 | 0.9543 | 1.0 |
| RDCM | (0.9216) | 1.0205 | 1.0205 | 0.8013 | 0.8013 | 1.1509 | 0.9876 | 0.9722 | 1.0268 | 1.0254 | 1.0583 | 1.0241 | 1.0758 | 0.9533 | 1.0 |
| SSY | 29.75 | 0.7159 | (1.5524) | 0.4183 | 0.1446 | 1.9145 | (1.0878) | 1.0778 | 0.9605 | 2.0207 | 0.9843 | 1.0663 | 1.08 | 0.6593 | (0.3632) |
| ALVO | 1.0023 | 1.0023 | 1.0023 | 1.0023 | 1.0023 | 1.0023 | 1.0023 | 1.0023 | 1.0023 | 1.0023 | 0.5828 | 0.6803 | 0.931 | 0.8474 | 0.65 |
| LPCN | 0.9779 | 0.9779 | 0.9779 | 0.9948 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0001 | 1.0 | 1.0 | 1.0003 | 1.0001 | 1.0 | 0.8 |
| RGEN | 0.9782 | 1.2559 | 1.2559 | 0.6993 | 0.7335 | 0.6962 | 0.9991 | 3.9118 | 0.7752 | 0.8187 | 1.012 | 0.8355 | 0.8486 | 0.6483 | 1.18 |
Capital Clean Energy, Sonida Senior Living, and HUTCHMED DRC Net Income Per E B T description
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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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