Energy Transfer Net 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.
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Cross Equities Net Profit Margin Analysis
Compare Energy Transfer LP and related stocks such as Plains All American, Hess Midstream Partners, and Plains GP Holdings Net Profit Margin Over Time
Select Fundamental2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
PAA | 0.0028 | 0.0282 | 0.0289 | 0.0322 | 0.0318 | 0.039 | 0.036 | 0.0326 | 0.0651 | 0.0645 | (0.1108) | 0.0141 | 0.0181 | 0.0253 | 0.0133 |
HESM | (0.4355) | (0.4355) | (0.4355) | (0.6073) | 0.1291 | 0.3422 | 0.4047 | 0.0728 | 0.0993 | 0.3745 | 0.444 | 0.5132 | 0.4867 | 0.0879 | 0.13 |
PAGP | 1.0E-4 | 1.0E-4 | 0.0011 | 4.0E-4 | 0.0016 | 0.0051 | 0.0047 | (0.0279) | 0.0098 | 0.0612 | (0.1048) | 0.0143 | 0.0203 | 0.0041 | 0.0043 |
AM | 0.002 | 0.002 | 0.002 | 0.002 | 0.002 | 0.002 | 0.0165 | 0.4308 | 0.4308 | (0.418) | (0.1261) | 0.3358 | 0.3293 | 0.3342 | 0.35 |
MPLX | 0.2609 | 0.3264 | 0.0296 | 0.1682 | 0.2332 | 0.2335 | 0.0912 | 0.2151 | 0.2991 | 0.1198 | (0.0833) | 0.3214 | 0.3742 | 0.3678 | 0.39 |
Energy Transfer LP and related stocks such as Plains All American, Hess Midstream Partners, and Plains GP Holdings Net Profit Margin description
The percentage of revenue left after all expenses have been deducted from sales. The measure is calculated by dividing net profit by revenue.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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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.