Energy Transfer Lp Stock Analysis

Energy Stock Analysis Notes

The company last dividend was issued on the 4th of February 2025. To learn more about Energy Transfer LP call the company at 214 981 0700 or check out https://energytransfer.com.

Energy Transfer LP Investment Alerts

Energy Profitablity

The company has Profit Margin (PM) of 0.06 %, which maeans that even a very small decline in it revenue will erase profits resulting in a net loss. This is way below average. Similarly, it shows Operating Margin (OM) of 0.11 %, which suggests for every 100 dollars of sales, it generated a net operating income of $0.11.

Management Efficiency

The company has return on total asset (ROA) of 0.0489 % which means that it generated a profit of $0.0489 on every $100 spent on assets. This is way below average. Similarly, it shows a return on equity (ROE) of 0.1525 %, meaning that it generated $0.1525 on every $100 dollars invested by stockholders. Energy Transfer's management efficiency ratios could be used to measure how well Energy Transfer manages its routine affairs as well as how well it operates its assets and liabilities. The Energy Transfer's current Return On Equity is estimated to increase to 0.13, while Return On Tangible Assets are projected to decrease to 0.04. As of now, Energy Transfer's Fixed Asset Turnover is decreasing as compared to previous years.

Technical Drivers

As of the 1st of February, Energy Transfer shows the Mean Deviation of 0.4421, downside deviation of 0.541, and Coefficient Of Variation of 1665.72. Energy Transfer LP technical analysis allows you to utilize historical prices and volume patterns in order to determine a pattern that computes the direction of the firm's future prices.

Energy Transfer LP Price Movement Analysis

Energy Transfer Predictive Daily Indicators

Energy Transfer Forecast Models

Energy Transfer's time-series forecasting models are one of many Energy Transfer's stock analysis techniques aimed at predicting future share value based on previously observed values. Time-series forecasting models ae widely used for non-stationary data. Non-stationary data are called the data whose statistical properties e.g. the mean and standard deviation are not constant over time but instead, these metrics vary over time. These non-stationary Energy Transfer's historical data is usually called time-series. Some empirical experimentation suggests that the statistical forecasting models outperform the models based exclusively on fundamental analysis to predict the direction of the market movement and maximize returns from investment trading.

Stock analysis is the technique used by a trader or investor to examine and evaluate how Energy Transfer prices is reacting to, or reflecting on a current market direction and economic conditions. It can be used to make informed decisions about market timing, and when buying or selling Energy shares will generate the highest return on investment. We also built our stock analysis module to help investors to gain an insight into the world economy as a whole, the stock market, thematic ideas. a specific sector, or an individual Stock such as Energy Transfer. By using and applying Energy Stock analysis, traders can create a robust methodology for identifying Energy entry and exit points for their positions.

When running Energy Transfer's price analysis, check to measure Energy Transfer's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Energy Transfer is operating at the current time. Most of Energy Transfer's value examination focuses on studying past and present price action to predict the probability of Energy Transfer's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Energy Transfer's price. Additionally, you may evaluate how the addition of Energy Transfer to your portfolios can decrease your overall portfolio volatility.