Energy Transfer Gross Profit Margin Over Time
ET-PI Stock | 11.96 0.07 0.59% |
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.
Check out Energy Transfer Performance and Energy Transfer Correlation. Energy |
Cross Equities Gross Profit Margin Analysis
Compare Energy Transfer LP and related stocks such as MPLX LP, Plains All American, and SPACE Gross Profit Margin Over Time
Select Fundamental2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
MPLX | 0.344 | 0.6033 | 0.4175 | 0.3967 | 0.4366 | 0.4266 | 0.3282 | 0.3549 | 0.4145 | 0.4242 | 0.4357 | 0.4235 | 0.4069 | 0.4514 | 0.46 |
PAA | 0.0166 | 0.0537 | 0.0467 | 0.0494 | 0.0487 | 0.0665 | 0.0631 | 0.0545 | 0.0728 | 0.0687 | 0.0485 | 0.0413 | 0.0329 | 0.0566 | 0.033 |
SEIC | 0.4413 | 0.5192 | 0.5043 | 0.5246 | 0.5393 | 0.5415 | 0.5447 | 0.5499 | 0.5541 | 0.558 | 0.5617 | 0.5672 | 0.525 | 0.5126 | 0.42 |
EMBC | 0.7087 | 0.7087 | 0.7087 | 0.7087 | 0.7087 | 0.7087 | 0.7087 | 0.7087 | 0.7087 | 0.7025 | 0.6867 | 0.6861 | 0.6691 | 0.6546 | 0.75 |
KOD | 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 |
Energy Transfer LP and related stocks such as MPLX LP, Plains All American, and SPACE Gross Profit Margin description
My Equities
My Current Equities and Potential Positions
Energy Transfer LP | ET-PI |
Specialization | Energy, Oil & Gas Midstream |
Location | Texas; U.S.A |
Exchange | New York Stock Exchange |
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Check out Energy Transfer Performance and Energy Transfer Correlation. You can also try the Idea Optimizer module to use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio .
Energy Transfer 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.