Compare Pfcf 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 Pfcf Ratio Analysis
Compare Passage Bio, and Crinetics Pharmaceuticals Pfcf Ratio Over Time
Select Fundamental2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
PASG | (25.2001) | (25.2001) | (25.2001) | (25.2001) | (25.2001) | (25.2001) | (25.2001) | (25.2001) | (25.2001) | (24.4469) | (12.0173) | (2.2209) | (0.6083) | (0.7052) | (0.74) |
CRNX | (60.1191) | (60.1191) | (60.1191) | (60.1191) | (60.1191) | (60.1191) | (60.1191) | (34.7699) | (17.7473) | (12.9403) | (6.9057) | (12.266) | (8.1402) | (12.0832) | (12.69) |
Passage Bio, and Crinetics Pharmaceuticals Pfcf Ratio description
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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.Did You Try This Idea?
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Office Supplies
Companies producing and selling office supplies, and accessories. The Office Supplies theme has 37 constituents at this time.
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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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