Compare Operating Cash Flow Per Share Across Equities
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Cross Equities Operating Cash Flow Per Share Analysis
Compare Banco Santander Brasil, CrossFirst Bankshares, and Banco Bradesco SA Operating Cash Flow Per Share Over Time
Select Fundamental| 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| BSBR | (0.195) | (1.5313) | 0.6332 | 3.003 | (0.5414) | 0.534 | 0.8976 | 6.6971 | 1.1072 | 3.3315 | 5.669 | 0.9114 | 0.9208 | 4.9139 | 5.16 |
| CFB | 0.4464 | 0.4464 | 0.4464 | 0.4464 | 0.4464 | 0.4464 | 0.4464 | 0.4464 | 0.897 | 1.5485 | 1.5451 | 1.7229 | 1.6236 | 2.0272 | 1.12 |
| BBDO | 0.0427 | (6.9184) | 9.6304 | 16.3616 | 13.7508 | (11.4491) | 10.0697 | 6.6345 | (0.6077) | (1.8195) | 13.3215 | (9.5526) | 3.9121 | (0.0167) | (0.0159) |
| CFBK | 11.352 | 3.224 | (0.8361) | (1.4861) | 0.3667 | 1.7696 | 0.6152 | 1.2121 | (2.7719) | (22.5993) | (20.4782) | 38.9209 | 6.216 | 2.8112 | 2.95 |
| AVAL | 2.1 K | 5.8 K | 5.5 K | 7.5 K | 18 K | 13.6 K | 3.3 K | 6.7 K | 11.5 K | 253 | 450 | 265 | (9.5981) | 76.2558 | 72.44 |
| BLX | 2.7372 | 4.874 | 2.567 | 1.4205 | 4.4052 | 10.7756 | 21.2137 | 17.58 | (4.3899) | (2.3356) | 31.4557 | (22.4692) | (21.2002) | 6.8733 | 3.77 |
| AFBI | 0.4601 | 0.4601 | 0.4601 | 0.4601 | 0.4601 | 0.3089 | 0.4978 | 0.3732 | 0.3732 | 0.2624 | 0.1994 | 1.7242 | 1.1349 | 1.2153 | 1.28 |
Banco Santander Brasil, CrossFirst Bankshares, and Banco Bradesco SA Operating Cash Flow Per Share description
A measure of the cash generated from a company's normal business operations per share, indicating how much cash is generated from a company's business operations on a per-share basis.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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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