Quantum Genomics Sa Stock Z Score
| ALQGC Stock | EUR 0.12 0.01 7.69% |
Quantum |
Quantum Genomics SA Company Z Score Analysis
Quantum Genomics' Z-Score is a simple linear, multi-factor model that measures the financial health and economic stability of a company. The score is used to predict the probability of a firm going into bankruptcy within next 24 months or two fiscal years from the day stated on the accounting statements used to calculate it. The model uses five fundamental business ratios that are weighted according to algorithm of Professor Edward Altman who developed it in the late 1960s at New York University..
Current Quantum Genomics Z Score | 11.4 |
Most of Quantum Genomics' fundamental indicators, such as Z Score, 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, Quantum Genomics SA is considered to be undervalued, and we provide a buy recommendation. Otherwise, we render a sell signal.
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To calculate a Z-Score, one would need to know a company's current working capital, its total assets and liabilities, and the amount of its latest earnings as well as earnings before interest and tax. Z-Scores can be used to compare the odds of bankruptcy of companies in a similar line of business or firms operating in the same industry. Companies with Z-Scores above 3.1 are generally considered to be stable and healthy with a low probability of bankruptcy. Scores that fall between 1.8 and 3.1 lie in a so-called 'grey area,' with scores of less than 1 indicating the highest probability of distress. Z Score is a used widely measure by financial auditors, accountants, money managers, loan processors, wealth advisers, and day traders. In the last 25 years, many financial models that utilize z-scores proved it to be successful as a predictor of corporate bankruptcy.
| Competition |
In accordance with the company's disclosures, Quantum Genomics SA has a Z Score of 11.4. This is 68.89% higher than that of the Biotechnology sector and 241.32% higher than that of the Health Care industry. The z score for all France stocks is 30.73% lower than that of the firm.
Quantum Z Score Peer Comparison
Stock peer comparison is one of the most widely used and accepted methods of equity analyses. It analyses Quantum Genomics' direct or indirect competition against its Z Score to detect undervalued stocks with similar characteristics or determine the stocks which would be a good addition to a portfolio. Peer analysis of Quantum Genomics could also be used in its relative valuation, which is a method of valuing Quantum Genomics by comparing valuation metrics of similar companies.Quantum Genomics is currently under evaluation in z score category among related companies.
Quantum Fundamentals
| Return On Equity | -1.23 | |||
| Return On Asset | -0.48 | |||
| Operating Margin | (5.48) % | |||
| Current Valuation | (11.33 M) | |||
| Shares Outstanding | 34.53 M | |||
| Shares Owned By Insiders | 9.18 % | |||
| Shares Owned By Institutions | 3.69 % | |||
| Price To Earning | (5.10) X | |||
| Price To Book | 0.32 X | |||
| Price To Sales | 1.07 X | |||
| Revenue | 116.21 K | |||
| Gross Profit | (12.47 M) | |||
| EBITDA | (18.94 M) | |||
| Net Income | (17.36 M) | |||
| Cash And Equivalents | 5.01 M | |||
| Cash Per Share | 0.89 X | |||
| Total Debt | 283.69 K | |||
| Current Ratio | 3.36 X | |||
| Book Value Per Share | 0.44 X | |||
| Cash Flow From Operations | (17.02 M) | |||
| Earnings Per Share | (0.73) X | |||
| Target Price | 8.8 | |||
| Beta | 0.27 | |||
| Market Capitalization | 5.65 M | |||
| Total Asset | 22.59 M | |||
| Z Score | 11.4 | |||
| Net Asset | 22.59 M |
About Quantum Genomics Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze Quantum Genomics SA's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Quantum Genomics using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Quantum Genomics SA 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 Quantum Genomics
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 Quantum Genomics 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 Quantum Genomics will appreciate offsetting losses from the drop in the long position's value.The ability to find closely correlated positions to Quantum Genomics could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Quantum Genomics 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 Quantum Genomics - 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 Quantum Genomics SA to buy it.
The correlation of Quantum Genomics 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 Quantum Genomics moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Quantum Genomics 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 Quantum Genomics 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 Trending Equities to better understand how to build diversified portfolios, which includes a position in Quantum Genomics SA. Also, note that the market value of any company could be tightly coupled with the direction of predictive economic indicators such as signals in main economic indicators. Note that the Quantum Genomics information on this page should be used as a complementary analysis to other Quantum Genomics' statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Financial Widgets module to easily integrated Macroaxis content with over 30 different plug-and-play financial widgets.
Complementary Tools for Quantum Stock analysis
When running Quantum Genomics' price analysis, check to measure Quantum Genomics' 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 Quantum Genomics is operating at the current time. Most of Quantum Genomics' value examination focuses on studying past and present price action to predict the probability of Quantum Genomics' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Quantum Genomics' price. Additionally, you may evaluate how the addition of Quantum Genomics to your portfolios can decrease your overall portfolio volatility.
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