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 | 2025 | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
CRAI | 0.7679 | 0.6 | 0.7679 | 0.7679 | 0.7679 | 0.7679 | 0.5888 | 0.7679 | 0.7679 | 0.7679 | 0.7679 | 0.7679 | 0.7418 | 0.7043 | 0.7418 | 0.5 |
HURN | 0.607 | 0.476 | 0.5549 | 0.5846 | 0.6898 | 0.7067 | 0.6359 | 0.7646 | 0.5411 | 0.7952 | 0.7002 | 0.787 | 0.6958 | 0.7447 | 0.7572 | 1.02 |
FORR | 0.619 | 0.5954 | 0.8067 | 0.6389 | 0.5908 | 0.6209 | 0.5748 | 0.5531 | 0.6538 | 0.997 | 0.7724 | 0.7485 | 0.7097 | 0.4853 | 0.56 | 0.78 |
RGP | 0.5142 | 0.5142 | 0.5142 | 0.656 | 0.656 | 0.656 | 0.656 | 0.656 | 0.656 | 0.7052 | 0.7052 | 0.7052 | 0.7052 | 0.7052 | 0.5214 | 0.5 |
FC | 0.6506 | 0.5704 | 0.7382 | 0.8303 | 0.6384 | 0.589 | 0.6574 | 1.0665 | (1.728) | (11.853) | 2.2425 | 0.8353 | 0.6873 | 0.7082 | 0.81 | 0.86 |
ICFI | 1.7778 | 0.6143 | 0.615 | 0.6321 | 0.624 | 0.619 | 0.6252 | 0.8498 | 0.7413 | 0.7645 | 0.736 | 0.7107 | 0.765 | 0.8557 | 0.77 | 0.56 |
FCN | 0.3684 | 0.6785 | (11.8773) | (0.333) | 0.5799 | 0.6268 | 0.6692 | 1.2394 | 0.7248 | 0.7513 | 0.8028 | 0.7886 | 0.791 | 0.7671 | 0.7985 | 0.84 |
CRA International, Huron Consulting, and Forrester Research 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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