Compare Price Book Value Ratio 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 Price Book Value Ratio Analysis
Compare Twin Vee Powercats, LCI Industries, and Curtiss Motorcycles Price Book Value Ratio Over Time
Select Fundamental| 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| VEEE | 483 | 483 | 483 | 483 | 483 | 483 | 483 | 483 | 483 | 483 | 36.0273 | 1.6809 | 0.4907 | 0.575 | 0.55 |
| LCII | 1.3795 | 1.9698 | 2.5594 | 3.8074 | 3.0923 | 3.373 | 4.8231 | 4.983 | 2.3814 | 3.3447 | 3.5883 | 3.6022 | 1.6985 | 2.3476 | 1.93 |
| MPX | 1.1242 | 1.9312 | 2.6969 | 4.5266 | 3.7338 | 2.4743 | 7.7638 | 6.1778 | 7.7632 | 6.3524 | 5.8364 | 4.2263 | 3.1644 | 2.5275 | 3.01 |
| MCFT | (11.553) | (11.553) | (11.553) | (72.3501) | (6.4845) | (23.5392) | 30.9065 | 10.2632 | 5.3009 | 7.3029 | 4.5867 | 2.7044 | 2.813 | 1.6554 | 1.74 |
| MBUU | 6.9968 | 6.9968 | 8.8955 | 11.5321 | (11.7689) | 15.9842 | 9.391 | 6.2985 | 4.0005 | 4.2165 | 4.0752 | 2.1736 | 1.9784 | 1.3023 | 1.24 |
| EZGO | 29.2882 | 29.2882 | 29.2882 | 29.2882 | 29.2882 | 29.2882 | 29.2882 | 29.2882 | 82.0349 | 11.459 | 1.1128 | 0.1854 | 0.1031 | 0.12 | 0.11 |
| BC | 1.7876 | 52.1928 | 33.6201 | 4.0453 | 4.0955 | 3.6661 | 3.5312 | 3.3291 | 2.5711 | 3.9283 | 3.9988 | 4.094 | 2.64 | 3.2537 | 4.0 |
Twin Vee Powercats, LCI Industries, and Curtiss Motorcycles Price Book Value Ratio 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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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