Fs Energy And Stock EBITDA
| FSEN Stock | USD 2.50 0.70 38.89% |
FS Energy and fundamentals help investors to digest information that contributes to FS Energy's financial success or failures. It also enables traders to predict the movement of FSEN Pink Sheet. The fundamental analysis module provides a way to measure FS Energy'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 FS Energy pink sheet.
FSEN |
FS Energy and Company EBITDA Analysis
FS Energy's EBITDA stands for earnings before interest, taxes, depreciation, and amortization. It is a measure of a company operating cash flow based on data from the company income statement and is a very good way to compare companies within industries or across different sectors. However, unlike Operating Cash Flow, EBITDA does not include the effects of changes in working capital.
In a nutshell, EBITDA is calculated by adding back each of the excluded items to the post-tax profit, and can be used to compare companies with very different capital structures.
| Competition |
According to the company disclosure, FS Energy and reported earnings before interest,tax, depreciation and amortization of 0.0. This is 100.0% lower than that of the Financial Services sector and 100.0% lower than that of the Asset Management industry. The ebitda for all United States stocks is 100.0% higher than that of the company.
FSEN EBITDA Peer Comparison
Stock peer comparison is one of the most widely used and accepted methods of equity analyses. It analyses FS Energy's direct or indirect competition against its EBITDA to detect undervalued stocks with similar characteristics or determine the pink sheets which would be a good addition to a portfolio. Peer analysis of FS Energy could also be used in its relative valuation, which is a method of valuing FS Energy by comparing valuation metrics of similar companies.FS Energy is currently under evaluation in ebitda category among its peers.
FSEN Fundamentals
| Return On Equity | 0.11 | |||
| Return On Asset | 0.0267 | |||
| Profit Margin | 1.10 % | |||
| Operating Margin | 0.65 % | |||
| Shares Owned By Insiders | 0.14 % | |||
| Shares Owned By Institutions | 0.02 % | |||
| Price To Earning | 5.22 X | |||
| Revenue | 161.13 M | |||
| Gross Profit | 150.71 M | |||
| Net Income | 205.88 M | |||
| Cash And Equivalents | 131.33 M | |||
| Cash Per Share | 0.29 X | |||
| Total Debt | 757.74 M | |||
| Debt To Equity | 0.42 % | |||
| Current Ratio | 3.66 X | |||
| Book Value Per Share | 3.85 X | |||
| Cash Flow From Operations | 53.4 M | |||
| Earnings Per Share | 0.57 X | |||
| Number Of Employees | 10 | |||
| Beta | -3626.3 | |||
| Annual Yield | 0.04 % | |||
| Last Dividend Paid | 0.12 |
About FS Energy Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze FS Energy and's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of FS Energy using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of FS Energy and 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 FS Energy
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 FS Energy 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 FS Energy will appreciate offsetting losses from the drop in the long position's value.Moving against FSEN Pink Sheet
| 0.35 | AMIX | Autonomix Medical, Common Trending | PairCorr |
| 0.34 | IVSBF | Investor AB ser | PairCorr |
| 0.34 | BKRKY | Bank Rakyat | PairCorr |
The ability to find closely correlated positions to FS Energy could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace FS Energy 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 FS Energy - 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 FS Energy and to buy it.
The correlation of FS Energy 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 FS Energy moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if FS Energy 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 FS Energy 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 FSEN Pink Sheet
FS Energy financial ratios help investors to determine whether FSEN Pink Sheet 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 FSEN with respect to the benefits of owning FS Energy security.