DAIO Stock | | | USD 2.50 0.07 2.88% |
This module uses fundamental data of Data IO to approximate its Piotroski F score. Data IO F Score is determined by combining nine binary scores representing 3 distinct fundamental categories of Data IO. These three categories are profitability, efficiency, and funding. Some research analysts and sophisticated value traders use Piotroski F Score to find opportunities outside of the conventional market and financial statement analysis.They believe that some of the new information about Data IO financial position does not get reflected in the current market share price suggesting a possibility of arbitrage. Check out
Data IO Altman Z Score,
Data IO Correlation,
Data IO Valuation, as well as analyze
Data IO Alpha and Beta and
Data IO Hype Analysis.
To learn how to invest in Data Stock, please use our
How to Invest in Data IO guide.
At this time, Data IO's
Short Term Debt is very stable compared to the past year. As of the 22nd of March 2025,
Net Debt To EBITDA is likely to grow to 3.52, while
Short and Long Term Debt Total is likely to drop about 1.4
M. At this time, Data IO's
Cash Per Share is very stable compared to the past year. As of the 22nd of March 2025,
PFCF Ratio is likely to grow to 25.74, while
Price To Sales Ratio is likely to drop 0.86.
At this time, it appears that Data IO's Piotroski F Score is Strong. Although some professional money managers and academia have recently criticized
Piotroski F-Score model, we still consider it an effective method of
predicting the state of the financial strength of any organization that is not predisposed to accounting gimmicks and manipulations. Using this score on the criteria to originate an efficient long-term portfolio can help investors filter out the purely speculative stocks or equities playing fundamental games by manipulating their earnings..
7.0
Piotroski F Score - Strong
| Current Return On Assets | Negative | Focus |
| Change in Return on Assets | Increased | Focus |
| Cash Flow Return on Assets | Positive | Focus |
| Current Quality of Earnings (accrual) | Improving | Focus |
| Asset Turnover Growth | Increase | Focus |
| Current Ratio Change | Decrease | Focus |
| Long Term Debt Over Assets Change | N/A | Focus |
| Change In Outstending Shares | Decrease | Focus |
| Change in Gross Margin | Increase | Focus |
Data IO Piotroski F Score Drivers
The critical factor to consider when applying the Piotroski F Score to Data IO is to make sure Data is not a subject of accounting manipulations and runs a healthy internal audit department. So, if Data IO's auditors report directly to the board (not management), the managers will be reluctant to manipulate simply due to the fear of punishment. On the other hand, the auditors will be free to investigate the ledgers properly because they know that the board has their back. Below are the main accounts that are used in the Piotroski F Score model. By analyzing the historical trends of the mains drivers, investors can determine if Data IO's financial numbers are properly reported.
Data IO F Score Driver Matrix
One of the toughest challenges investors face today is learning how to quickly synthesize historical
financial statements and information provided by the company, SEC reporting, and various external parties in order to project the various growth rates. Understanding the correlation between Data IO's different financial indicators related to revenue, expenses, operating profit, and net earnings helps investors identify and prioritize their investing strategies towards Data IO in a much-optimized way.
Click cells to compare fundamentals
About Data IO Piotroski F Score
F-Score is one of many stock grading techniques developed by Joseph Piotroski, a professor of accounting at the Stanford University Graduate School of Business. It was published in 2002 under the paper titled
Value Investing: The Use of Historical Financial Statement Information to Separate Winners from Losers. Piotroski F Score is based on binary analysis strategy in which stocks are given one point for passing 9 very simple fundamental tests, and zero point otherwise. According to Mr. Piotroski's analysis, his F-Score binary model can help to predict the performance of low price-to-book stocks.
Data IO ESG Sustainability
Some studies have found that companies with high sustainability scores are getting higher valuations than competitors with lower social-engagement activities. While most ESG disclosures are voluntary and do not directly affect the long term financial condition, Data IO's sustainability indicators can be used to identify proper investment strategies using environmental, social, and governance scores that are crucial to Data IO's managers, analysts, and investors.
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.
When determining whether Data IO
offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Data IO's
financial statements, including income statements, balance sheets, and cash flow statements, to assess its
financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Data Io Stock.
Outlined below are crucial reports that will aid in making a well-informed decision on Data Io Stock: 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.
Quarterly Earnings Growth | Earnings Share | Revenue Per Share | Quarterly Revenue Growth | Return On Assets |
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.