Energy Net Income from 2010 to 2026
| EFR Stock | CAD 33.67 2.52 8.09% |
Net Loss | First Reported 2000-12-31 | Previous Quarter -21.8 M | Current Value -16.7 M | Quarterly Volatility 17.7 M |
Check Energy Fuels financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Energy Fuels' main balance sheet or income statement drivers, such as Depreciation And Amortization of 3.1 M, Interest Expense of 181.4 K or Selling General Administrative of 44.2 M, as well as many indicators such as Price To Sales Ratio of 9.66, Dividend Yield of 0.0 or PTB Ratio of 1.58. Energy financial statements analysis is a perfect complement when working with Energy Fuels Valuation or Volatility modules.
Energy | Net Income |
Latest Energy Fuels' Net Income Growth Pattern
Below is the plot of the Net Income of Energy Fuels over the last few years. Net income is one of the most important fundamental items in finance. It plays a large role in Energy Fuels financial statement analysis. It represents the amount of money remaining after all of Energy Fuels operating expenses, interest, taxes and preferred stock dividends have been deducted from a company total revenue. It is Energy Fuels' Net Loss historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Energy Fuels' overall financial position and show how it may be relating to other accounts over time.
| View | Last Reported (47.84 M) | 10 Years Trend |
|
Net Income |
| Timeline |
Energy Net Income Regression Statistics
| Arithmetic Mean | (26,873,821) | |
| Geometric Mean | 21,380,837 | |
| Coefficient Of Variation | (155.31) | |
| Mean Deviation | 27,553,475 | |
| Median | (36,590,000) | |
| Standard Deviation | 41,737,144 | |
| Sample Variance | 1742T | |
| Range | 186.5M | |
| R-Value | 0.05 | |
| Mean Square Error | 1853.7T | |
| R-Squared | 0 | |
| Significance | 0.85 | |
| Slope | 403,826 | |
| Total Sum of Squares | 27871.8T |
Energy Net Income History
About Energy Fuels Financial Statements
Energy Fuels investors utilize fundamental indicators, such as Net Income, to predict how Energy Stock might perform in the future. Analyzing these trends over time helps investors make informed market timing decisions. For further insights, please visit our fundamental analysis page.
| Last Reported | Projected for Next Year | ||
| Net Loss | -43.1 M | -40.9 M | |
| Net Loss | -55 M | -57.8 M | |
| Net Loss | -54.9 M | -57.7 M | |
| Net Loss | (0.25) | (0.26) | |
| Net Income Per E B T | 0.89 | 0.78 |
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 against Energy Stock
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 the analysis of Energy Fuels Correlation against competitors. To learn how to invest in Energy Stock, please use our How to Invest in Energy Fuels guide.You can also try the Companies Directory module to evaluate performance of over 100,000 Stocks, Funds, and ETFs against different fundamentals.