Energy Fuels Stock Target Price
| EFR Stock | CAD 8.51 0.26 2.96% |
Energy Fuels fundamentals help investors to digest information that contributes to Energy Fuels' financial success or failures. It also enables traders to predict the movement of Energy Stock. The fundamental analysis module provides a way to measure Energy Fuels' 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 Fuels stock.
Energy | Target Price |
Energy Target Price Peer Comparison
Stock peer comparison is one of the most widely used and accepted methods of equity analyses. It analyses Energy Fuels' direct or indirect competition against its Target Price to detect undervalued stocks with similar characteristics or determine the stocks which would be a good addition to a portfolio. Peer analysis of Energy Fuels could also be used in its relative valuation, which is a method of valuing Energy Fuels by comparing valuation metrics of similar companies.Energy Fuels is currently under evaluation in target price category among its peers.
Energy Fundamentals
| Return On Equity | -0.092 | ||||
| Return On Asset | -0.0445 | ||||
| Profit Margin | (0.90) % | ||||
| Operating Margin | (2.58) % | ||||
| Current Valuation | 1.46 B | ||||
| Shares Outstanding | 196.6 M | ||||
| Shares Owned By Insiders | 2.00 % | ||||
| Shares Owned By Institutions | 54.40 % | ||||
| Number Of Shares Shorted | 3.62 M | ||||
| Price To Earning | (3.35) X | ||||
| Price To Book | 3.16 X | ||||
| Price To Sales | 43.28 X | ||||
| Revenue | 37.93 M | ||||
| Gross Profit | 4.67 M | ||||
| EBITDA | (29.62 M) | ||||
| Net Income | 99.86 M | ||||
| Cash And Equivalents | 62.82 M | ||||
| Cash Per Share | 0.22 X | ||||
| Total Debt | 1.32 M | ||||
| Debt To Equity | 0.06 % | ||||
| Current Ratio | 4.26 X | ||||
| Book Value Per Share | 2.26 X | ||||
| Cash Flow From Operations | (15.41 M) | ||||
| Short Ratio | 6.82 X | ||||
| Earnings Per Share | (0.31) X | ||||
| Target Price | 14.5 | ||||
| Number Of Employees | 195 | ||||
| Beta | 1.54 | ||||
| Market Capitalization | 1.67 B | ||||
| Total Asset | 401.94 M | ||||
| Retained Earnings | (356.26 M) | ||||
| Working Capital | 222.34 M | ||||
| Annual Yield | 0.14 % | ||||
| Net Asset | 401.94 M |
About Energy Fuels Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze Energy Fuels's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Energy Fuels using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Energy Fuels based on its fundamental data. In general, a quantitative approach, as applied to this company, 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 Fuels
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 Fuels 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 Fuels will appreciate offsetting losses from the drop in the long position's value.Moving together with Energy Stock
Moving against Energy Stock
| 0.8 | MFC-PC | Manulife Finl Srs | PairCorr |
| 0.67 | SLF-PC | Sun Life Financial | PairCorr |
| 0.66 | SLF-PD | Sun Life Financial | PairCorr |
| 0.58 | SAGE | Sage Potash Corp | PairCorr |
| 0.45 | SLF-PG | Sun Life Non | PairCorr |
The ability to find closely correlated positions to Energy Fuels 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 Fuels 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 Fuels - 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 Fuels to buy it.
The correlation of Energy Fuels 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 Fuels moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Energy Fuels 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 Fuels 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.Check out Investing Opportunities to better understand how to build diversified portfolios, which includes a position in Energy Fuels. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in board of governors. To learn how to invest in Energy Stock, please use our How to Invest in Energy Fuels guide.You can also try the Stock Tickers module to use high-impact, comprehensive, and customizable stock tickers that can be easily integrated to any websites.