Energy Income Etf Price To Sales
| ENI-UN Etf | CAD 1.74 0.04 2.35% |
Energy Income fundamentals help investors to digest information that contributes to Energy Income's financial success or failures. It also enables traders to predict the movement of Energy Etf. The fundamental analysis module provides a way to measure Energy Income's intrinsic value by examining its available economic and financial indicators, including the cash flow records, the balance sheet account changes, the income statement patterns, and various microeconomic indicators and financial ratios related to Energy Income etf.
Energy |
Energy Income ETF Price To Sales Analysis
Energy Income's Price to Sales ratio is typically used for valuing equity relative to its own past performance as well as to performance of other companies or market indexes. In most cases, the lower the ratio, the better it is for investors. However, it is advisable for investors to exercise caution when looking at price-to-sales ratios across different industries.
Current Energy Income Price To Sales | (4.26) X |
Most of Energy Income's fundamental indicators, such as Price To Sales, are part of a valuation analysis module that helps investors searching for stocks that are currently trading at higher or lower prices than their real value. If the real value is higher than the market price, Energy Income is considered to be undervalued, and we provide a buy recommendation. Otherwise, we render a sell signal.
The most critical factor to remember is that the price of equity takes a firm's debt into account, whereas the sales indicators do not consider financial leverage. Generally speaking, Price to Sales ratio shows how much market values every dollar of the company's sales.
| Competition |
Based on the latest financial disclosure, Energy Income has a Price To Sales of -4.26 times. This is much lower than that of the Financial Services family and significantly lower than that of the Asset Management category. The price to sales for all Canada etfs is notably higher than that of the company.
Energy Price To Sales Peer Comparison
Stock peer comparison is one of the most widely used and accepted methods of equity analyses. It analyses Energy Income's direct or indirect competition against its Price To Sales to detect undervalued stocks with similar characteristics or determine the etfs which would be a good addition to a portfolio. Peer analysis of Energy Income could also be used in its relative valuation, which is a method of valuing Energy Income by comparing valuation metrics of similar companies.Energy Income is currently under evaluation in price to sales as compared to similar ETFs.
Energy Fundamentals
| Return On Equity | -21.27 | |||
| Return On Asset | -13.11 | |||
| Operating Margin | 130.01 % | |||
| Current Valuation | (1.81 M) | |||
| Shares Outstanding | 4.22 M | |||
| Number Of Shares Shorted | 2 | |||
| Price To Earning | 13.48 X | |||
| Price To Book | 0.77 X | |||
| Price To Sales | (4.26) X | |||
| Revenue | (1.54 M) | |||
| Gross Profit | (1.54 M) | |||
| Net Income | (2 M) | |||
| Cash And Equivalents | 7.87 M | |||
| Cash Per Share | 2.04 X | |||
| Current Ratio | 48.95 X | |||
| Book Value Per Share | 2.01 X | |||
| Cash Flow From Operations | 1.16 M | |||
| Short Ratio | 1.32 X | |||
| Earnings Per Share | (0.48) X | |||
| Beta | 0.83 | |||
| Market Capitalization | 6.55 M | |||
| Five Year Return | 5.92 % | |||
| Last Dividend Paid | 0.12 |
About Energy Income Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze Energy Income's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Energy Income using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Energy Income based on its fundamental data. In general, a quantitative approach, as applied to this etf, focuses on analyzing financial statements comparatively, whereas a qaualitative method uses data that is important to a company's growth but cannot be measured and presented in a numerical way.
Please read more on our fundamental analysis page.
Pair Trading with Energy Income
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Energy Income position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Energy Income will appreciate offsetting losses from the drop in the long position's value.Moving together with Energy Etf
Moving against Energy Etf
The ability to find closely correlated positions to Energy Income could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Energy Income when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Energy Income - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Energy Income to buy it.
The correlation of Energy Income is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Energy Income moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Energy Income moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Energy Income can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Other Information on Investing in Energy Etf
Energy Income financial ratios help investors to determine whether Energy Etf is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Energy with respect to the benefits of owning Energy Income security.