Data IO Ownership
| DAIO Stock | USD 3.10 0.04 1.27% |
Shares in Circulation | First Issued 1985-09-30 | Previous Quarter 9.3 M | Current Value 9.4 M | Avarage Shares Outstanding 8.1 M | Quarterly Volatility 974.3 K |
Data Stock Ownership Analysis
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 1.82. 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.Besides selling stocks to institutional investors, Data IO also allocates a substantial amount of its earnings to a pull of share-based compensation to be paid out to its employees, managers, executives, and members of the board of directors. Share-Based compensation (also sometimes called Stock-Based Compensation) is a way of paying different Data IO's stakeholders with equity in the business. It is typically used as a motivation factor for employees to contribute beyond their regular compensation (salary and bonus). It is also used as a tool to align Data IO's strategic interests with those of the company's shareholders. Shares issued to employees are usually subject to a vesting period before they are earned and sold.
Data IO Quarterly Liabilities And Stockholders Equity |
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Data IO Insider Trades History
About 9.0% of Data IO are currently held by insiders. Unlike Data IO's institutional investors, corporate insiders most likely have a limit on the maximum percentage of share ownership. This is done to align insiders' influence against Data IO's private investors even though both sides will benefit from rising prices or experience loss when the share price declines. The good rule to have in mind is that the maximum share ownership percentage of the corporate insiders should not surpass 25%. View all of Data IO's insider trades
Data Stock Institutional Investors
Have you ever been surprised when a price of an equity instrument such as Data IO is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Data IO backward and forwards among themselves. Data IO's institutional investor refers to the entity that pools money to purchase Data IO's securities or originate loans. Institutional investors include commercial and private banks, credit unions, insurance companies, pension funds, hedge funds, endowments, and mutual funds. Operating companies that invest excess capital in these types of assets may also be included in the term and may influence corporate governance by exercising voting rights in their investments.
| Shares | James Investment Research, Inc. | 2025-06-30 | 22.4 K | Goss Wealth Management Llc | 2025-06-30 | 22.4 K | Bard Associates Inc | 2025-06-30 | 21.7 K | Steward Partners Investment Advisory, Llc | 2025-06-30 | 20.9 K | Northern Trust Corp | 2025-06-30 | 18.3 K | Legato Capital Management Llc | 2025-06-30 | 17.6 K | Blackrock Inc | 2025-06-30 | 17 K | State Street Corp | 2025-06-30 | 16.2 K | Simplex Trading, Llc | 2025-06-30 | 5.2 K | Kanen Wealth Management Llc | 2025-06-30 | 839.4 K | Penbrook Management Llc | 2025-06-30 | 619.2 K |
Data IO Insider Trading Activities
Some recent studies suggest that insider trading raises the cost of capital for securities issuers and decreases overall economic growth. Trading by specific Data IO insiders, such as employees or executives, is commonly permitted as long as it does not rely on Data IO's material information that is not in the public domain. Local jurisdictions usually require such trading to be reported in order to monitor insider transactions. In many U.S. states, trading conducted by corporate officers, key employees, directors, or significant shareholders must be reported to the regulator or publicly disclosed, usually within a few business days of the trade. In these cases Data IO insiders are required to file a Form 4 with the U.S. Securities and Exchange Commission (SEC) when buying or selling shares of their own companies.
Data IO Outstanding Bonds
Data IO issues bonds to finance its operations. Corporate bonds make up one of the largest components of the U.S. bond market, which is considered the world's largest securities market. Data IO uses the proceeds from bond sales for a wide variety of purposes, including financing ongoing mergers and acquisitions, buying new equipment, investing in research and development, buying back their own stock, paying dividends to shareholders, and even refinancing existing debt. Most Data bonds can be classified according to their maturity, which is the date when Data IO has to pay back the principal to investors. Maturities can be short-term, medium-term, or long-term (more than ten years). Longer-term bonds usually offer higher interest rates but may entail additional risks.
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
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 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 various price indices. To learn how to invest in Data Stock, please use our How to Invest in Data IO guide.You can also try the Efficient Frontier module to plot and analyze your portfolio and positions against risk-return landscape of the market..
Will Electronic Equipment, Instruments & Components sector continue expanding? Could Data diversify its offerings? Factors like these will boost the valuation of Data IO. Projected growth potential of Data fundamentally drives upward valuation adjustments. Accurate valuation requires analyzing both current fundamentals and future growth trajectories. Every Data IO data point contributes insight, yet successful analysis hinges on identifying the most consequential variables.
Quarterly Earnings Growth (0.83) | Earnings Share (0.31) | Revenue Per Share | Quarterly Revenue Growth (0.01) | Return On Assets |
Data IO's market price often diverges from its book value, the accounting figure shown on Data's balance sheet. Smart investors calculate Data IO's intrinsic value—its true economic worth—which may differ significantly from both market price and book value. Seasoned market participants apply comprehensive analytical frameworks to derive fundamental worth and identify mispriced opportunities. Since Data IO's trading price responds to investor sentiment, macroeconomic conditions, and market psychology, it can swing far from fundamental value.
It's important to distinguish between Data IO's intrinsic value and market price, which are calculated using different methodologies. Investment decisions regarding Data IO should consider multiple factors including financial performance, growth metrics, competitive position, and professional analysis. 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.