Energy Transfer Fixed Asset Turnover 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 Fixed Asset Turnover Analysis
Compare Energy Transfer LP and related stocks such as MPLX LP, Plains All American, and SPACE Fixed Asset Turnover Over Time
Select Fundamental2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
MPLX | 0.4737 | 0.4737 | 0.4859 | 0.4791 | 0.5157 | 0.069 | 0.2382 | 0.3029 | 0.4153 | 0.3793 | 0.379 | 0.4662 | 0.5445 | 0.5407 | 0.33 |
PAA | 23.236 | 4.4283 | 3.9196 | 3.9051 | 3.5417 | 1.7183 | 1.4549 | 1.8612 | 2.303 | 2.1281 | 1.5538 | 2.7486 | 3.676 | 3.0265 | 2.88 |
SEIC | 1.9061 | 2.1194 | 7.7795 | 9.4637 | 10.0849 | 9.2668 | 9.5871 | 10.4253 | 11.1349 | 8.1017 | 7.4041 | 9.0281 | 9.6642 | 9.904 | 5.71 |
EMBC | 2.4267 | 2.4267 | 2.4267 | 2.4267 | 2.4267 | 2.4267 | 2.4267 | 2.4267 | 2.4267 | 2.3496 | 2.5831 | 3.745 | 3.4678 | 3.12 | 2.33 |
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 Fixed Asset Turnover 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 Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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.