Data Io Stock Analysis

Data Stock Analysis Notes

About 34.0% of the company shares are held by institutions such as insurance companies. The company has price-to-book (P/B) ratio of 1.86. Some equities with similar Price to Book (P/B) outperform the market in the long run. Data IO recorded a loss per share of 0.31. The entity last dividend was issued on the 9th of March 1989. The firm had 3:2 split on the 22nd of August 1983. Data IO Corporation engages in the design, manufacture, and sale of programming and security deployment systems and services for electronic device manufacturers in the United States, Europe, and internationally. Data IO Corporation was incorporated in 1969 and is headquartered in Redmond, Washington. Data I operates under Electronic Components classification in the United States and is traded on NASDAQ Exchange. It employs 86 people. To learn more about Data IO call Anthony Ambrose at 425 881 6444 or check out https://www.dataio.com.

Data IO Investment Alerts

Data IO Upcoming and Recent Events

Data Market Capitalization

The company currently falls under 'Micro-Cap' category with a current market capitalization of 25.54 M.

Data Profitablity

The company has Profit Margin (PM) of (0.16) %, which may suggest that it does not properly executes on its current pricing strategies or is unable to control all of the operational costs. This is way below average. Similarly, it shows Operating Margin (OM) of (0.26) %, which suggests for every $100 dollars of sales, it generated a net operating loss of $0.26.

Technical Drivers

As of the 3rd of January, Data IO shows the Coefficient Of Variation of 16737.01, downside deviation of 3.04, and Mean Deviation of 2.32. Data IO technical analysis allows you to utilize historical prices and volume patterns in order to determine a pattern that computes the direction of the firm's future prices.

Data IO Price Movement Analysis

Data IO Insider Trading Activities

Data IO Outstanding Bonds

Data IO Predictive Daily Indicators

Data IO Forecast Models

Data IO's time-series forecasting models are one of many Data IO's stock analysis techniques aimed at predicting future share value based on previously observed values. Time-series forecasting models ae widely used for non-stationary data. Non-stationary data are called the data whose statistical properties e.g. the mean and standard deviation are not constant over time but instead, these metrics vary over time. These non-stationary Data IO's historical data is usually called time-series. Some empirical experimentation suggests that the statistical forecasting models outperform the models based exclusively on fundamental analysis to predict the direction of the market movement and maximize returns from investment trading.

Data IO Debt to Cash Allocation

Data IO currently holds 2.8 M in liabilities with Debt to Equity (D/E) ratio of 0.09, which may suggest the company is not taking enough advantage from borrowing. Data IO has a current ratio of 3.4, suggesting that it is liquid enough and is able to pay its financial obligations when due. Note, when we think about Data IO's use of debt, we should always consider it together with its cash and equity.

Data IO Assets Financed by Debt

Typically, companies with high debt-to-asset ratios are said to be highly leveraged. The higher the ratio, the greater risk will be associated with the Data IO's operation. In addition, a high debt-to-assets ratio may indicate a low borrowing capacity of Data IO, which in turn will lower the firm's financial flexibility.

Data IO Corporate Bonds Issued

Stock analysis is the technique used by a trader or investor to examine and evaluate how Data IO prices is reacting to, or reflecting on a current market direction and economic conditions. It can be used to make informed decisions about market timing, and when buying or selling Data shares will generate the highest return on investment. We also built our stock analysis module to help investors to gain an insight into the world economy as a whole, the stock market, thematic ideas. a specific sector, or an individual Stock such as Data IO. By using and applying Data Stock analysis, traders can create a robust methodology for identifying Data entry and exit points for their positions.

Check out Investing Opportunities to better understand how to build diversified portfolios, which includes a position in Data IO. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in gross domestic product. To learn how to invest in Data Stock, please use our How to Invest in Data IO guide.You can also try the Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.

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.