Datalex Stock Shares Outstanding
| DLE Stock | EUR 0.45 0.02 4.26% |
Datalex fundamentals help investors to digest information that contributes to Datalex's financial success or failures. It also enables traders to predict the movement of Datalex Stock. The fundamental analysis module provides a way to measure Datalex'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 Datalex stock.
Datalex |
Datalex Company Shares Outstanding Analysis
Datalex's Outstanding Shares are shares of common stock of a public company that were purchased by investors after they were authorized and issued by the company to the public. Outstanding Shares are typically reported on fully diluted basis, including exotic instruments such as options, or convertibles bonds.
Current Datalex Shares Outstanding | 132.68 M |
Most of Datalex's fundamental indicators, such as Shares Outstanding, 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, Datalex is considered to be undervalued, and we provide a buy recommendation. Otherwise, we render a sell signal.
Outstanding shares that are stated on company Balance Sheet are used when calculating many important valuation and performance indicators including Return on Equity, Market Cap, EPS and many others.
| Competition |
Based on the latest financial disclosure, Datalex has 132.68 M of shares currently outstending. This is 30.14% lower than that of the Technology sector and significantly higher than that of the Software—Application industry. The shares outstanding for all Ireland stocks is 76.8% higher than that of the company.
Datalex Shares Outstanding Peer Comparison
Stock peer comparison is one of the most widely used and accepted methods of equity analyses. It analyses Datalex's direct or indirect competition against its Shares Outstanding to detect undervalued stocks with similar characteristics or determine the stocks which would be a good addition to a portfolio. Peer analysis of Datalex could also be used in its relative valuation, which is a method of valuing Datalex by comparing valuation metrics of similar companies.Datalex is currently under evaluation in shares outstanding category among related companies.
Datalex Fundamentals
| Return On Asset | -0.22 | |||
| Profit Margin | (0.18) % | |||
| Operating Margin | (0.26) % | |||
| Current Valuation | 68.94 M | |||
| Shares Outstanding | 132.68 M | |||
| Shares Owned By Insiders | 28.52 % | |||
| Price To Book | 135.82 X | |||
| Price To Sales | 3.08 X | |||
| Revenue | 25.47 M | |||
| Gross Profit | 12.22 M | |||
| EBITDA | 1.12 M | |||
| Net Income | (4.87 M) | |||
| Cash And Equivalents | 2.44 M | |||
| Cash Per Share | 0.03 X | |||
| Total Debt | 20.17 M | |||
| Current Ratio | 0.25 X | |||
| Book Value Per Share | (0.01) X | |||
| Cash Flow From Operations | 446 K | |||
| Earnings Per Share | (0.04) X | |||
| Target Price | 0.93 | |||
| Number Of Employees | 142 | |||
| Beta | 0.46 | |||
| Market Capitalization | 76.95 M | |||
| Total Asset | 21.21 M | |||
| Z Score | 2.8 | |||
| Annual Yield | 0.05 % | |||
| Net Asset | 21.21 M |
About Datalex Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze Datalex's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Datalex using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Datalex 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 Datalex
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 Datalex 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 Datalex will appreciate offsetting losses from the drop in the long position's value.Moving against Datalex Stock
| 0.92 | BIRG | Bank of Ireland | PairCorr |
| 0.89 | A5G | AIB Group PLC | PairCorr |
| 0.81 | SK3 | Smurfit Kappa Group | PairCorr |
| 0.79 | GL9 | Glanbia PLC | PairCorr |
| 0.7 | RYA | Ryanair Holdings plc | PairCorr |
The ability to find closely correlated positions to Datalex could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Datalex 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 Datalex - 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 Datalex to buy it.
The correlation of Datalex 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 Datalex moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Datalex 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 Datalex 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 Datalex. Also, note that the market value of any company could be tightly coupled with the direction of predictive economic indicators such as signals in board of governors. Note that the Datalex information on this page should be used as a complementary analysis to other Datalex's 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 Funds Screener module to find actively-traded funds from around the world traded on over 30 global exchanges.
Complementary Tools for Datalex Stock analysis
When running Datalex's price analysis, check to measure Datalex'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 Datalex is operating at the current time. Most of Datalex's value examination focuses on studying past and present price action to predict the probability of Datalex's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Datalex's price. Additionally, you may evaluate how the addition of Datalex to your portfolios can decrease your overall portfolio volatility.
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