Energy Net Income vs Other Non Cash Items Analysis
EFR Stock | CAD 8.77 0.30 3.31% |
Energy Fuels financial indicator trend analysis is much more than just examining Energy Fuels latest accounting drivers to predict future trends. We encourage investors to analyze account correlations over time for multiple indicators to determine whether Energy Fuels is a good investment. Please check the relationship between Energy Fuels Net Income and its Other Non Cash Items accounts. 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.
Net Income vs Other Non Cash Items
Net Income vs Other Non Cash Items Correlation Analysis
The overlapping area represents the amount of trend that can be explained by analyzing historical patterns of Energy Fuels Net Income account and Other Non Cash Items. At this time, the significance of the direction appears to have pay attention.
The correlation between Energy Fuels' Net Income and Other Non Cash Items is -0.89. Overlapping area represents the amount of variation of Net Income that can explain the historical movement of Other Non Cash Items in the same time period over historical financial statements of Energy Fuels, assuming nothing else is changed. The correlation between historical values of Energy Fuels' Net Income and Other Non Cash Items is a relative statistical measure of the degree to which these accounts tend to move together. The correlation coefficient measures the extent to which Net Income of Energy Fuels are associated (or correlated) with its Other Non Cash Items. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when Other Non Cash Items has no effect on the direction of Net Income i.e., Energy Fuels' Net Income and Other Non Cash Items go up and down completely randomly.
Correlation Coefficient | -0.89 |
Relationship Direction | Negative |
Relationship Strength | Significant |
Net Income
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.Other Non Cash Items
Most indicators from Energy Fuels' fundamental ratios are interrelated and interconnected. However, analyzing fundamental ratios indicators one by one will only give a small insight into Energy Fuels current financial condition. On the other hand, looking into the entire matrix of fundamental ratios indicators, and analyzing their relationships over time can provide a more complete picture of the company financial strength now and in the future. 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.At this time, Energy Fuels' Selling General Administrative is very stable compared to the past year. As of the 13th of December 2024, Tax Provision is likely to grow to about 289.8 K, while Enterprise Value Over EBITDA is likely to drop (40.19).
2021 | 2022 | 2023 | 2024 (projected) | Gross Profit | 1.4M | 4.7M | 19.7M | 20.7M | Total Revenue | 3.2M | 12.5M | 37.9M | 25.0M |
Energy Fuels fundamental ratios Correlations
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Energy Fuels Account Relationship Matchups
High Positive Relationship
High Negative Relationship
Energy Fuels fundamental ratios Accounts
2019 | 2020 | 2021 | 2022 | 2023 | 2024 (projected) | ||
Total Assets | 175.7M | 183.2M | 315.4M | 273.9M | 401.9M | 422.0M | |
Short Long Term Debt Total | 17.9M | 758K | 469K | 1.4M | 1.3M | 1.3M | |
Other Current Liab | 3.5M | 10.9M | 2.8M | 16.5M | 8.8M | 9.2M | |
Total Current Liabilities | 22.6M | 12.3M | 6.1M | 18.6M | 10.4M | 7.1M | |
Total Stockholder Equity | 126.9M | 153.8M | 291.6M | 240.4M | 375.2M | 394.0M | |
Property Plant And Equipment Net | 110.7M | 107.8M | 105.9M | 97.6M | 146.9M | 154.3M | |
Net Debt | 5.1M | (19.4M) | (112.0M) | (61.4M) | (56.1M) | (53.3M) | |
Retained Earnings | (370.0M) | (397.8M) | (396.3M) | (456.1M) | (356.3M) | (338.4M) | |
Accounts Payable | 2.0M | 1.1M | 3.0M | 1.9M | 1.0M | 955.7K | |
Cash | 12.8M | 20.2M | 112.5M | 62.8M | 57.4M | 60.3M | |
Non Current Assets Total | 132.5M | 130.8M | 166.1M | 138.4M | 169.2M | 84.7M | |
Non Currrent Assets Other | 21.2M | 22.2M | 21.7M | 21.5M | 21.0M | 16.2M | |
Other Assets | 21.2M | 22.2M | 21.7M | 19.9M | 22.9M | 24.0M | |
Cash And Short Term Investments | 17.6M | 22.4M | 113.0M | 75.0M | 190.5M | 200.0M | |
Common Stock Shares Outstanding | 95.7M | 120.8M | 154.1M | 157.5M | 160.2M | 168.2M | |
Short Term Investments | 4.8M | 2.2M | 494K | 12.2M | 133.0M | 139.7M | |
Liabilities And Stockholders Equity | 175.7M | 183.2M | 315.4M | 273.9M | 401.9M | 422.0M | |
Non Current Liabilities Total | 22.5M | 13.4M | 13.8M | 10.9M | 12.4M | 16.1M | |
Other Current Assets | 1.5M | 1.3M | 1.6M | 22.3M | 2.5M | 2.3M | |
Other Stockholder Equity | 3.0M | 2.3M | 1.9M | (1.9M) | (1.8M) | (1.7M) | |
Total Liab | 45.1M | 25.7M | 19.9M | 29.5M | 22.7M | 23.2M | |
Property Plant And Equipment Gross | 110.7M | 107.8M | 141.9M | 130.8M | 182.8M | 192.0M | |
Total Current Assets | 43.2M | 52.5M | 149.3M | 135.6M | 232.7M | 244.3M | |
Accumulated Other Comprehensive Income | 3.0M | 2.3M | 1.9M | (1.9M) | (2.2M) | (2.1M) | |
Short Term Debt | 17.2M | 289K | 324K | 59K | 199K | 189.1K | |
Common Stock | 494.0M | 549.3M | 685.9M | 698.5M | 733.5M | 435.4M | |
Net Receivables | 1.3M | 1.2M | 4.0M | 92K | 816K | 1.4M | |
Inventory | 22.8M | 27.6M | 30.8M | 38.2M | 38.9M | 24.1M | |
Common Stock Total Equity | 430.4M | 469.3M | 494.0M | 549.3M | 631.7M | 396.0M | |
Other Liab | 21.7M | 12.9M | 13.7M | 9.6M | 11.0M | 18.1M | |
Net Tangible Assets | 126.9M | 153.8M | 291.6M | 240.4M | 276.5M | 174.3M | |
Long Term Investments | 654K | 779K | 38.5M | 19.3M | 1.4M | 1.3M | |
Property Plant Equipment | 110.7M | 107.8M | 105.9M | 97.6M | 112.2M | 117.8M |
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
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0.61 | SAGE | Sage Potash Corp | PairCorr |
0.49 | 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 Idea Analyzer module to analyze all characteristics, volatility and risk-adjusted return of Macroaxis ideas.