Fuse Science Stock Price To Earning
| DROP Stock | USD 0.01 0 16.67% |
Fuse Science fundamentals help investors to digest information that contributes to Fuse Science's financial success or failures. It also enables traders to predict the movement of Fuse Pink Sheet. The fundamental analysis module provides a way to measure Fuse Science'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 Fuse Science pink sheet.
Fuse |
Fuse Science Company Price To Earning Analysis
Fuse Science's Price to Earnings ratio is typically used for current valuation of a company and is one of the most popular ratios that investors monitor daily. Holding a low PE stock is less risky because when a company's profitability falls, it is likely that earnings will also go down as well. In other words, if you start from a lower position, your downside risk is limited. There are also some investors who believe that low Price to Earnings ratio reflects the low pricing because a given company is in trouble. On the other hand, a higher PE ratio means that investors are paying more for each unit of profit.
Current Fuse Science Price To Earning | (0.01) X |
Most of Fuse Science's fundamental indicators, such as Price To Earning, 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, Fuse Science is considered to be undervalued, and we provide a buy recommendation. Otherwise, we render a sell signal.
Generally speaking, the Price to Earnings ratio gives investors an idea of what the market is willing to pay for the company's current earnings.
| Competition |
Based on the latest financial disclosure, Fuse Science has a Price To Earning of -0.01 times. This is 100.04% lower than that of the Technology sector and significantly lower than that of the Software—Application industry. The price to earning for all United States stocks is 100.03% higher than that of the company.
Fuse Price To Earning Peer Comparison
Stock peer comparison is one of the most widely used and accepted methods of equity analyses. It analyses Fuse Science's direct or indirect competition against its Price To Earning to detect undervalued stocks with similar characteristics or determine the pink sheets which would be a good addition to a portfolio. Peer analysis of Fuse Science could also be used in its relative valuation, which is a method of valuing Fuse Science by comparing valuation metrics of similar companies.Fuse Science is currently under evaluation in price to earning category among its peers.
Fuse Fundamentals
| Return On Asset | -38.54 | |||
| Current Valuation | 136 K | |||
| Shares Outstanding | 80 M | |||
| Price To Earning | (0.01) X | |||
| Price To Sales | 22.46 X | |||
| Revenue | 4.27 K | |||
| Gross Profit | (975.95 K) | |||
| EBITDA | (26.29 M) | |||
| Net Income | (25.03 M) | |||
| Cash And Equivalents | 115.75 K | |||
| Debt To Equity | 0.70 % | |||
| Current Ratio | 0.15 X | |||
| Book Value Per Share | (0.14) X | |||
| Cash Flow From Operations | (1.52 M) | |||
| Earnings Per Share | (0.31) X | |||
| Beta | 0.76 | |||
| Market Capitalization | 864 K | |||
| Total Asset | 118.45 K | |||
| Retained Earnings | (76.99 M) | |||
| Working Capital | (1.02 M) | |||
| Current Asset | 134 K | |||
| Current Liabilities | 1.16 M | |||
| Net Asset | 118.45 K |
About Fuse Science Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze Fuse Science's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Fuse Science using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Fuse Science 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 Fuse Science
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 Fuse Science 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 Fuse Science will appreciate offsetting losses from the drop in the long position's value.Moving against Fuse Pink Sheet
The ability to find closely correlated positions to Fuse Science could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Fuse Science 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 Fuse Science - 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 Fuse Science to buy it.
The correlation of Fuse Science 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 Fuse Science moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Fuse Science 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 Fuse Science 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.Additional Tools for Fuse Pink Sheet Analysis
When running Fuse Science's price analysis, check to measure Fuse Science's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Fuse Science is operating at the current time. Most of Fuse Science's value examination focuses on studying past and present price action to predict the probability of Fuse Science's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Fuse Science's price. Additionally, you may evaluate how the addition of Fuse Science to your portfolios can decrease your overall portfolio volatility.