Data IO Earnings Estimate
| DAIO Stock | USD 3.14 0.08 2.61% |
Data IO Revenue Breakdown by Earning Segment
By analyzing Data IO's earnings estimates, investors can diagnose different trends across Data IO's analyst sentiment over time as well as compare current estimates against different timeframes. At this time, Data IO's Gross Profit is very stable compared to the past year. As of the 29th of January 2026, Gross Profit Margin is likely to grow to 0.63, while Pretax Profit Margin is likely to drop (0.14). 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.
Data IO Earnings Estimation Breakdown
The calculation of Data IO's earning per share is based on the data from the past 12 consecutive months, used for reporting the company's financial figures. The next projected EPS of Data IO is estimated to be -0.1 with the future projection ranging from a low of -0.1 to a high of -0.1. Please be aware that this consensus of annual earnings estimates for Data IO is based on EPS before non-recurring items and includes expenses related to employee stock options.Last Reported EPS
-0.1 Lowest | Expected EPS | -0.1 Highest |
Data IO Earnings Projection Consensus
Suppose the current estimates of Data IO's value are higher than the current market price of the Data IO stock. In this case, investors may conclude that Data IO is overpriced and will exhibit bullish sentiment. On the other hand, if the present value is lower than the stock price, analysts may conclude that the market undervalues the equity. These scenarios may suggest that the market is not as efficient as it should be at the estimation time, and Data IO's stock will quickly adjusts to the new information provided by the consensus estimate.
| Number of Analysts | Historical Accuracy | Last Reported EPS | Estimated EPS for 31st of March 2026 | Current EPS (TTM) | |
| 1 | 5.9% | 0.0 | -0.1 | -0.31 |
Data IO Earnings per Share Projection vs Actual
Actual Earning per Share of Data IO refers to what the company shows during its earnings calls or quarterly reports. The Expected EPS is what analysts covering Data IO predict the company's earnings will be in the future. The higher the earnings per share of Data IO, the better is its profitability. While calculating the Earning per Share, we use the weighted ratio, as the number of shares outstanding can change over time.Data IO Estimated Months Earnings per Share
For an investor who is primarily interested in generating an income out of investing in entities such as Data IO, the EPS ratio can tell if the company is intending to increase its current dividend. Although EPS is an essential tool for investors, it should not be used in isolation. EPS of Data IO should always be considered in relation to other companies to make a more educated investment decision.Data Quarterly Analyst Estimates and Surprise Metrics
Earnings surprises can significantly impact Data IO's stock price both in the short term and over time. Negative earnings surprises usually result in a price decline. However, it has been seen that positive earnings surprises lead to an immediate rise in a stock's price and a gradual increase over time. This is why we often hear news about some companies beating earning projections. Financial analysts spend a large amount of time predicting earnings per share (EPS) along with other important future indicators. Many analysts use forecasting models, management guidance, and additional fundamental information to derive an EPS estimate.
| Reported | Fiscal Date | Estimated EPS | Reported EPS | Surprise | |||
|---|---|---|---|---|---|---|---|
null | null | null | null | null | 0 | ||
2025-10-30 | 2025-09-30 | -0.1 | -0.15 | -0.05 | 50 | ||
2025-07-23 | 2025-06-30 | -0.03 | -0.0798 | -0.0498 | 166 | ||
2025-04-25 | 2025-03-31 | 0.03 | -0.04 | -0.07 | 233 | ||
2025-02-20 | 2024-12-31 | 0.02 | -0.128 | -0.148 | 740 | ||
2024-10-24 | 2024-09-30 | 0.01 | -0.03 | -0.04 | 400 | ||
2024-07-25 | 2024-06-30 | -0.01 | -0.09 | -0.08 | 800 | ||
2024-04-25 | 2024-03-31 | -0.01 | -0.09 | -0.08 | 800 | ||
2024-02-22 | 2023-12-31 | 0.03 | 0.02 | -0.01 | 33 | ||
2023-10-26 | 2023-09-30 | 0.03 | -0.01 | -0.04 | 133 | ||
2023-07-27 | 2023-06-30 | -0.03 | 0.03 | 0.06 | 200 | ||
2023-04-27 | 2023-03-31 | -0.09 | 0.01 | 0.1 | 111 | ||
2023-02-23 | 2022-12-31 | -0.01 | 0.06 | 0.07 | 700 | ||
2022-10-27 | 2022-09-30 | -0.08 | 0.1 | 0.18 | 225 | ||
2022-07-28 | 2022-06-30 | -0.21 | -0.08 | 0.13 | 61 | ||
2022-04-29 | 2022-03-31 | -0.05 | -0.21 | -0.16 | 320 | ||
2022-02-24 | 2021-12-31 | -0.04 | -0.02 | 0.02 | 50 | ||
2021-10-28 | 2021-09-30 | 0.03 | 0.0014 | -0.0286 | 95 | ||
2021-07-29 | 2021-06-30 | -0.01 | 0.0437 | 0.0537 | 537 | ||
2021-04-29 | 2021-03-31 | -0.05 | -0.04 | 0.01 | 20 | ||
2021-02-25 | 2020-12-31 | -0.05 | -0.08 | -0.03 | 60 | ||
2020-10-29 | 2020-09-30 | -0.07 | -0.09 | -0.02 | 28 | ||
2020-08-04 | 2020-06-30 | -0.09 | -0.13 | -0.04 | 44 | ||
2020-04-30 | 2020-03-31 | -0.16 | -0.07 | 0.09 | 56 | ||
2020-03-03 | 2019-12-31 | -0.13 | -0.06 | 0.07 | 53 | ||
2019-10-31 | 2019-09-30 | -0.03 | -0.1 | -0.07 | 233 | ||
2019-08-01 | 2019-06-30 | -0.01 | 0.02 | 0.03 | 300 | ||
2019-04-25 | 2019-03-31 | 0.01 | 0.0301 | 0.0201 | 201 | ||
2019-02-21 | 2018-12-31 | -0.02 | 0.08 | 0.1 | 500 | ||
2018-11-01 | 2018-09-30 | 0.03 | 0.04 | 0.01 | 33 | ||
2018-07-26 | 2018-06-30 | 0.04 | 0.06 | 0.02 | 50 | ||
2018-04-26 | 2018-03-31 | 0.1 | 0.02 | -0.08 | 80 | ||
2018-02-22 | 2017-12-31 | 0.12 | 0.12 | 0.0 | 0 | ||
2013-02-28 | 2012-12-31 | -0.12 | -0.12 | 0.0 | 0 | ||
1999-02-18 | 1998-12-31 | -0.23 | -0.18 | 0.05 | 21 | ||
1998-10-22 | 1998-09-30 | -0.35 | -0.89 | -0.54 | 154 | ||
1998-07-30 | 1998-06-30 | -0.25 | -0.36 | -0.11 | 44 | ||
1998-04-22 | 1998-03-31 | 0.2 | -0.24 | -0.44 | 220 | ||
1998-02-19 | 1997-12-31 | 0.15 | 0.07 | -0.08 | 53 | ||
1997-10-23 | 1997-09-30 | -0.15 | 0.14 | 0.29 | 193 | ||
1997-04-24 | 1997-03-31 | -0.08 | 0.01 | 0.09 | 112 | ||
1997-02-21 | 1996-12-31 | 0.1 | -0.03 | -0.13 | 130 | ||
1996-10-23 | 1996-09-30 | -0.16 | -0.04 | 0.12 | 75 | ||
1996-07-18 | 1996-06-30 | -0.05 | -0.1 | -0.05 | 100 | ||
1996-04-25 | 1996-03-31 | 0.15 | 0.01 | -0.14 | 93 | ||
1996-02-21 | 1995-12-31 | 0.25 | 0.23 | -0.02 | 8 | ||
1995-10-23 | 1995-09-30 | 0.15 | 0.11 | -0.04 | 26 | ||
1995-07-27 | 1995-06-30 | 0.14 | 0.15 | 0.01 | 7 | ||
1995-04-27 | 1995-03-31 | 0.13 | 0.12 | -0.01 | 7 | ||
1995-02-23 | 1994-12-31 | 0.12 | 0.2 | 0.08 | 66 | ||
1994-02-25 | 1993-12-31 | -0.5 | -0.25 | 0.25 | 50 | ||
1993-10-29 | 1993-09-30 | -0.06 | -0.18 | -0.12 | 200 | ||
1993-07-28 | 1993-06-30 | -0.03 | -0.08 | -0.05 | 166 | ||
1993-04-22 | 1993-03-31 | 0.1 | 0.07 | -0.03 | 30 | ||
1993-02-26 | 1992-12-31 | 0.16 | 0.16 | 0.0 | 0 |
About Data IO Earnings Estimate
The earnings estimate module is a useful tool to check what professional financial analysts are assuming about the future of Data IO earnings. We show available consensus EPS estimates for the upcoming years and quarters. Investors can also examine how these consensus opinions have evolved historically. We show current Data IO estimates, future projections, as well as estimates 1, 2, and three years ago. Investors can search for a specific entity to conduct investment planning and build diversified portfolios. Please note, earnings estimates provided by Macroaxis are the average expectations of expert analysts that we track. If a given stock such as Data IO fails to match professional earnings estimates, it usually performs purely. Wall Street refers to that as a 'negative surprise.' If a company 'beats' future estimates, it's usually called an 'upside surprise.'
Please read more on our stock advisor page.| Last Reported | Projected for Next Year | ||
| Retained Earnings | -5.2 M | -4.9 M | |
| Retained Earnings Total Equity | -1.7 M | -1.8 M | |
| Earnings Yield | (0.11) | (0.10) | |
| Price Earnings Ratio | (7.38) | (7.01) | |
| Price Earnings To Growth Ratio | 0.01 | 0.01 |
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 together with Data Stock
| 0.81 | FEIM | Frequency Electronics Tech Boost | PairCorr |
| 0.66 | ARW | Arrow Electronics Earnings Call This Week | PairCorr |
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 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 Money Managers module to screen money managers from public funds and ETFs managed around the world.
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.