Compare Book Value 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.
Cross Equities Book Value Per Share Analysis
Compare News Corp B, and New York Times Book Value Per Share Over Time
Select Fundamental| 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| NWS | 21.4847 | 15.4173 | 21.935 | 23.1762 | 20.8881 | 20.3272 | 19.0798 | 18.0144 | 17.6347 | 14.2694 | 15.4912 | 15.5098 | 15.5187 | 15.7756 | 20.0 |
| NYT | 11.7246 | 5.2396 | 5.2396 | 5.2396 | 5.2396 | 5.2396 | 9.1749 | 5.5418 | 9.1749 | 9.1749 | 9.1749 | 9.5881 | 9.5881 | 10.7043 | 5.55 |
News Corp B, and New York Times Book Value Per Share description
The ratio of equity available to common shareholders divided by the number of outstanding shares. This measure represents the value per share of a company according to its financial statements.Investing Ideas
You can quickly originate your optimal portfoio using our predefined set of ideas and optimize them against your very unique investing style. A single investing idea is a collection of funds, stocks, ETFs, or cryptocurrencies that are programmatically selected from a pull of investment themes. After you determine your investment opportunity, you can then find an optimal portfolio that will maximize potential returns on the chosen idea or minimize its exposure to market volatility.Thematic Opportunities
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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 Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
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