Compare Free Cash Flow 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 Free Cash Flow Per Share Analysis
Select Fundamental
2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
IIIN | 1.0145 | 2.216 | 2.216 | 2.216 | 2.216 | 2.216 | (0.5242) | (0.5242) | (0.5242) | (0.5242) | (0.5242) | (0.5242) | 2.0028 | 2.0028 | 5.7167 |
CRS | 0.9249 | (0.2463) | (2.3006) | (2.0563) | 2.1312 | 3.3617 | 0.6553 | 1.572 | 1.0922 | 1.2557 | 3.0952 | (1.7588) | (1.3852) | 3.5875 | 3.77 |
ESAB | 3.4231 | 3.4231 | 3.4231 | 3.4231 | 3.4231 | 3.4231 | 3.4231 | 3.4231 | 3.4231 | 3.4231 | 4.4815 | 3.5838 | 2.8993 | 4.687 | 3.05 |
GIFI | 0.2922 | (2.0635) | (1.7422) | 1.1512 | 0.3069 | 0.3172 | 0.5164 | (2.983) | (1.5933) | (0.7178) | (1.9741) | (1.6955) | (0.7581) | 0.2668 | 0.28 |
MEC | 0.9923 | 0.9923 | 0.9923 | 0.9923 | 0.9923 | 0.9923 | 0.9923 | 0.9923 | 0.9565 | 0.4359 | 1.4438 | (1.218) | (0.3031) | 1.1641 | 1.22 |
RYI | 17.3984 | 0.2341 | 4.5478 | 0.8709 | (3.7307) | 7.3867 | 0.07 | (0.7316) | 0.509 | 3.9074 | 6.6246 | (0.6334) | 10.5472 | 6.9563 | 4.07 |
Insteel Industries, Carpenter Technology, and ESAB Corp Free Cash Flow Per Share description
The amount of cash a company generates after accounting for capital expenditures, divided by the number of outstanding shares. It represents the cash available for dividends, share buybacks, or debt repayment per share.Trending Themes
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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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