Ellington Financial Dividend Payout Ratio Over Time
EFC-PE Stock | 25.58 0.03 0.12% |
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 Dividend Payout Ratio Analysis
Compare Ellington Financial and related stocks such as 17 Education Technology, Universal Technical, and Acco Brands Dividend Payout Ratio Over Time
Select Fundamental2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
YQ | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
UTI | 0.2454 | 0.8221 | 2.5774 | 4.8478 | (0.799) | (0.0604) | (0.6459) | (0.1606) | (0.6673) | 0.6573 | 0.3601 | 0.1996 | 0.4114 | 0.0261 | 0.0248 |
ACCO | 0.4065 | 0.2352 | 0.2352 | 0.2352 | 0.2352 | 0.2352 | 0.2352 | 0.2352 | 0.2352 | 0.2285 | 0.3968 | 0.2532 | (2.1667) | (1.3073) | (1.24) |
AXL | 0.1442 | (0.0149) | (0.0149) | (0.0149) | (0.0149) | (0.0149) | (0.0149) | (0.0149) | (0.0149) | (0.0149) | (0.0149) | (0.0149) | (0.0149) | (0.0172) | (0.0163) |
EDTK | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
CARS | 0.8597 | 0.8597 | 0.8597 | 0.8597 | 1.0114 | 2.8961 | 2.8961 | 2.8961 | 2.8961 | 2.8961 | 2.8961 | 2.8961 | 2.8961 | 2.61 | 2.74 |
WNC | 0.0705 | 0.1375 | 0.1375 | 0.1375 | 0.1375 | 0.1375 | 0.1375 | 0.1375 | 0.2559 | 0.1987 | (0.1778) | 14.1194 | 0.1427 | 0.0686 | 0.0652 |
Ellington Financial and related stocks such as 17 Education Technology, Universal Technical, and Acco Brands Dividend Payout Ratio description
My Equities
My Current Equities and Potential Positions
Ellington Financial | EFC-PE |
Specialization | Real Estate, REIT - Mortgage |
Location | Connecticut; U.S.A |
Exchange | New York Stock Exchange |
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Ellington 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.