Data Io Stock Probability Of Bankruptcy
| DAIO Stock | USD 2.88 0.02 0.69% |
Data |
Data IO Company odds of distress Analysis
Data IO's Probability Of Bankruptcy is a relative measure of the likelihood of financial distress. For stocks, the Probability Of Bankruptcy is the normalized value of Z-Score. For funds and ETFs, it is derived from a multi-factor model developed by Macroaxis. The score is used to predict the probability of a firm or a fund experiencing financial distress within the next 24 months. Unlike Z-Score, Probability Of Bankruptcy is the value between 0 and 100, indicating the firm's actual probability it will be financially distressed in the next 2 fiscal years.
More About Probability Of Bankruptcy | All Equity Analysis
Probability Of Bankruptcy | = | Normalized | | Z-Score |
Current Data IO Probability Of Bankruptcy | Less than 9% |
Most of Data IO's fundamental indicators, such as Probability Of Bankruptcy, 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, Data IO is considered to be undervalued, and we provide a buy recommendation. Otherwise, we render a sell signal.
Our calculation of Data IO probability of bankruptcy is based on Altman Z-Score and Piotroski F-Score, but not limited to these measures. To be applied to a broader range of industries and markets, we use several other techniques to enhance the accuracy of predicting Data IO odds of financial distress. These include financial statement analysis, different types of price predictions, earning estimates, analysis consensus, and basic intrinsic valuation. Please use the options below to get a better understanding of different measures that drive the calculation of Data IO financial health.
Is Electronic Equipment, Instruments & Components space expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Data IO. If investors know Data will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Data IO listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
The market value of Data IO is measured differently than its book value, which is the value of Data that is recorded on the company's balance sheet. Investors also form their own opinion of Data IO's value that differs from its market value or its book value, called intrinsic value, which is Data IO's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Data IO's market value can be influenced by many factors that don't directly affect Data IO's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Data IO's value and its price as these two are different measures arrived at by different means. Investors typically determine if Data IO is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Data IO's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.
The Probability of Bankruptcy SHOULD NOT be confused with the actual chance of a company to file for chapter 7, 11, 12, or 13 bankruptcy protection. Macroaxis simply defines Financial Distress as an operational condition where a company is having difficulty meeting its current financial obligations towards its creditors or delivering on the expectations of its investors. Macroaxis derives these conditions daily from both public financial statements as well as analysis of stock prices reacting to market conditions or economic downturns, including short-term and long-term historical volatility. Other factors taken into account include analysis of liquidity, revenue patterns, R&D expenses, and commitments, as well as public headlines and social sentiment.
| Competition |
Based on the latest financial disclosure, Data IO has a Probability Of Bankruptcy of 9.0%. This is 77.76% lower than that of the Electronic Equipment, Instruments & Components sector and 80.82% lower than that of the Information Technology industry. The probability of bankruptcy for all United States stocks is 77.4% higher than that of the company.
Data Probability Of Bankruptcy Peer Comparison
Stock peer comparison is one of the most widely used and accepted methods of equity analyses. It analyses Data IO's direct or indirect competition against its Probability Of Bankruptcy to detect undervalued stocks with similar characteristics or determine the stocks which would be a good addition to a portfolio. Peer analysis of Data IO could also be used in its relative valuation, which is a method of valuing Data IO by comparing valuation metrics of similar companies.Data IO is currently under evaluation in probability of bankruptcy category among its peers.
Data Fundamentals
| Return On Equity | -0.0911 | ||||
| Return On Asset | -0.0384 | ||||
| Profit Margin | (0.08) % | ||||
| Operating Margin | (0.06) % | ||||
| Current Valuation | 15.89 M | ||||
| Shares Outstanding | 9.24 M | ||||
| Shares Owned By Insiders | 9.33 % | ||||
| Shares Owned By Institutions | 34.30 % | ||||
| Number Of Shares Shorted | 15.92 K | ||||
| Price To Earning | 28.32 X | ||||
| Price To Book | 1.39 X | ||||
| Price To Sales | 1.14 X | ||||
| Revenue | 28.06 M | ||||
| Gross Profit | 13.21 M | ||||
| EBITDA | 1.06 M | ||||
| Net Income | 486 K | ||||
| Cash And Equivalents | 11.04 M | ||||
| Cash Per Share | 1.25 X | ||||
| Total Debt | 1.5 M | ||||
| Debt To Equity | 0.09 % | ||||
| Current Ratio | 3.47 X | ||||
| Book Value Per Share | 2.08 X | ||||
| Cash Flow From Operations | 2.43 M | ||||
| Short Ratio | 0.52 X | ||||
| Earnings Per Share | (0.20) X | ||||
| Target Price | 4.5 | ||||
| Number Of Employees | 91 | ||||
| Beta | 0.96 | ||||
| Market Capitalization | 26.78 M | ||||
| Total Asset | 27.4 M | ||||
| Retained Earnings | (2.65 M) | ||||
| Working Capital | 18.43 M | ||||
| Current Asset | 18.34 M | ||||
| Current Liabilities | 4.52 M | ||||
| Net Asset | 27.4 M |
About Data IO Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze Data IO's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Data IO using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Data IO 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 Data IO
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 Data IO 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 Data IO will appreciate offsetting losses from the drop in the long position's value.Moving against Data Stock
| 0.63 | WBX | Wallbox NV | PairCorr |
| 0.58 | INFN | Infinera | PairCorr |
| 0.57 | STX | Seagate Technology PLC | PairCorr |
| 0.54 | DM | Desktop Metal | PairCorr |
| 0.5 | CDW | CDW Corp | PairCorr |
The ability to find closely correlated positions to Data IO could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Data IO 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 Data IO - 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 Data IO to buy it.
The correlation of Data IO 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 Data IO moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Data IO 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 Data IO 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 Data IO Piotroski F Score and Data IO Altman Z Score analysis. To learn how to invest in Data Stock, please use our How to Invest in Data IO guide.You can also try the Portfolio Analyzer module to portfolio analysis module that provides access to portfolio diagnostics and optimization engine.
Is Electronic Equipment, Instruments & Components space expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Data IO. If investors know Data will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Data IO listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
The market value of Data IO is measured differently than its book value, which is the value of Data that is recorded on the company's balance sheet. Investors also form their own opinion of Data IO's value that differs from its market value or its book value, called intrinsic value, which is Data IO's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Data IO's market value can be influenced by many factors that don't directly affect Data IO's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Data IO's value and its price as these two are different measures arrived at by different means. Investors typically determine if Data IO is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Data IO's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.