Greenfire Resources Stock Earnings Per Share
| GFR Stock | 9.51 0.13 1.35% |
Greenfire Resources fundamentals help investors to digest information that contributes to Greenfire Resources' financial success or failures. It also enables traders to predict the movement of Greenfire Stock. The fundamental analysis module provides a way to measure Greenfire Resources' 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 Greenfire Resources stock.
Greenfire | Earnings Per Share |
Greenfire Resources Company Earnings Per Share Analysis
Greenfire Resources' Earnings per Share (EPS) denotes the portion of a company's earnings that is allocated to each share of common stock. To calculate Earnings per Share investors will need to take a company's net income, subtract any dividends for preferred stock, and divide it by the number of average outstanding shares. EPS is usually presented in two different ways: basic and diluted. Fully diluted Earnings per Share takes into account effects of warrants, options, and convertible securities and is generally viewed by analysts as a more accurate measure.
Current Greenfire Resources Earnings Per Share | 0.75 X |
Most of Greenfire Resources' fundamental indicators, such as Earnings Per Share, 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, Greenfire Resources is considered to be undervalued, and we provide a buy recommendation. Otherwise, we render a sell signal.
Greenfire Earnings Per Share Driver Correlations
Understanding the fundamental principles of building solid financial models for Greenfire Resources is extremely important. It helps to project a fair market value of Greenfire Stock properly, considering its historical fundamentals such as Earnings Per Share. Since Greenfire Resources' main accounts across its financial reports are all linked and dependent on each other, it is essential to analyze all possible correlations between related accounts. However, instead of reviewing all of Greenfire Resources' historical financial statements, investors can examine the correlated drivers to determine its overall health. This can be effectively done using a conventional correlation matrix of Greenfire Resources' interrelated accounts and indicators.
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Earnings per Share is one of the most critical measures of the firm's current share price and is used by investors to determine the overall company profitability, especially when compared to the EPS of similar companies.
| Competition |
According to the company disclosure, Greenfire Resources has an Earnings Per Share of 0.75 times. This is 5.06% lower than that of the Energy sector and 11.94% higher than that of the Oil & Gas E&P industry. The earnings per share for all Canada stocks is 75.96% higher than that of the company.
Greenfire Earnings Per Share Peer Comparison
Stock peer comparison is one of the most widely used and accepted methods of equity analyses. It analyses Greenfire Resources' direct or indirect competition against its Earnings Per Share to detect undervalued stocks with similar characteristics or determine the stocks which would be a good addition to a portfolio. Peer analysis of Greenfire Resources could also be used in its relative valuation, which is a method of valuing Greenfire Resources by comparing valuation metrics of similar companies.Greenfire Resources is currently under evaluation in earnings per share category among its peers.
Greenfire Fundamentals
| Return On Equity | -0.21 | ||||
| Return On Asset | 0.0384 | ||||
| Profit Margin | (0.22) % | ||||
| Operating Margin | 0.24 % | ||||
| Current Valuation | 943.55 M | ||||
| Shares Outstanding | 69.47 M | ||||
| Shares Owned By Insiders | 95.77 % | ||||
| Shares Owned By Institutions | 35.15 % | ||||
| Number Of Shares Shorted | 89.79 K | ||||
| Price To Book | 0.89 X | ||||
| Price To Sales | 0.93 X | ||||
| Revenue | 675.97 M | ||||
| EBITDA | 140.46 M | ||||
| Net Income | (135.67 M) | ||||
| Total Debt | 44.32 M | ||||
| Book Value Per Share | 10.12 X | ||||
| Cash Flow From Operations | 86.55 M | ||||
| Short Ratio | 3.28 X | ||||
| Earnings Per Share | 0.75 X | ||||
| Target Price | 13.75 | ||||
| Beta | 0.28 | ||||
| Market Capitalization | 661.84 M | ||||
| Total Asset | 1.17 B | ||||
| Retained Earnings | 526.7 M | ||||
| Working Capital | 33.53 M | ||||
| Net Asset | 1.17 B |
About Greenfire Resources Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze Greenfire Resources's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Greenfire Resources using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Greenfire Resources 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 Greenfire Resources
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 Greenfire Resources 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 Greenfire Resources will appreciate offsetting losses from the drop in the long position's value.The ability to find closely correlated positions to Greenfire Resources could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Greenfire Resources 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 Greenfire Resources - 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 Greenfire Resources to buy it.
The correlation of Greenfire Resources 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 Greenfire Resources moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Greenfire Resources 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 Greenfire Resources 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 Risk vs Return Analysis to better understand how to build diversified portfolios, which includes a position in Greenfire Resources. 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 Greenfire Stock, please use our How to Invest in Greenfire Resources guide.You can also try the Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.