Regions Financial Debt Equity Ratio Over Time
| RF-PF Stock | 25.90 0.10 0.38% |
With this module, investors 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 portfolio assets.
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Cross Equities Debt Equity Ratio Analysis
Compare Regions Financial and related stocks such as CaliberCos Class A, Aterian, and Torm PLC Class Debt Equity Ratio Over Time
Select Fundamental| 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | 2025 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| CWD | 0.098 | 0.098 | 0.098 | 0.098 | 0.098 | 0.098 | 0.098 | 0.098 | 0.098 | (9.3885) | (9.1055) | (17.6356) | (53.0782) | 79.9138 | 71.92 | 75.52 |
| ATER | 1.2573 | 1.2573 | 1.2573 | 1.2573 | 1.2573 | 1.2573 | 1.2573 | 1.2573 | 5.122 | 3.2744 | 3.6996 | 0.1792 | 0.2231 | 0.3371 | 0.39 | 0.37 |
| TRMD | 1.6629 | 2.908 | 7.0929 | 14.8394 | (8.7745) | 0.799 | 0.8752 | 0.947 | 0.8848 | 0.8489 | 0.8279 | 1.0791 | 0.644 | 0.6368 | 0.73 | 0.7 |
| VRRM | (9.3991) | (9.3991) | (9.3991) | (9.3991) | (9.3991) | (9.3991) | (9.3991) | 85.7378 | 2.8781 | 2.6421 | 2.5114 | 4.9189 | 5.3895 | 2.5492 | 2.93 | 2.78 |
| MESA | 0.8607 | 4.8269 | 4.8269 | 4.8269 | 4.8269 | 4.8269 | 4.2495 | 2.4444 | 1.9802 | 1.8307 | 1.4713 | 2.0563 | 2.7046 | 2.7046 | 2.43 | 1.84 |
| KODK | 0.261 | (0.6441) | (0.3911) | 1.0796 | 2.444 | 8.7179 | 4.9036 | 1.8235 | 2.3588 | 0.6085 | 0.2985 | 0.3193 | 0.2918 | 0.4338 | 0.39 | 0.37 |
Regions Financial and related stocks such as CaliberCos Class A, Aterian, and Torm PLC Class Debt Equity Ratio description
My Equities
My Current Equities and Potential Positions
| Regions Financial | RF-PF |
| Classification | Banking |
| Location | Alabama; U.S.A |
| Exchange | New York Stock Exchange |
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Regions Financial technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, stock market cycles, or different charting patterns.