Data Operating Income from 2010 to 2026
| DAIO Stock | USD 2.82 0.01 0.35% |
Operating Income | First Reported 1985-09-30 | Previous Quarter -844 K | Current Value -1.4 M | Quarterly Volatility 10.5 M |
Check Data IO financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Data IO's main balance sheet or income statement drivers, such as Depreciation And Amortization of 482.2 K, Interest Expense of 37.1 K or Selling General Administrative of 12.5 M, as well as many indicators such as Price To Sales Ratio of 0.86, Dividend Yield of 0.91 or PTB Ratio of 1.3. Data financial statements analysis is a perfect complement when working with Data IO Valuation or Volatility modules.
Data | Operating Income | Build AI portfolio with Data Stock |
Evaluating Data IO's Operating Income across multiple reporting periods reveals the company's ability to sustain growth and manage resources effectively. This longitudinal analysis highlights inflection points, cyclical patterns, and structural changes that short-term snapshots might miss, offering deeper insight into Data IO's fundamental strength.
Latest Data IO's Operating Income Growth Pattern
Below is the plot of the Operating Income of Data IO over the last few years. Operating Income is the amount of profit realized from Data IO operations after accounting for operating expenses such as cost of goods sold (COGS), wages and depreciation. Operating income takes the gross income and subtracts other operating expenses and then removes depreciation. Operating Income of Data IO is typically a synonym for earnings before interest and taxes (EBIT) and is also commonly referred to as operating profit or recurring profit. It is earnings before interest and taxes (EBIT), representing the amount of profit a company generates from its operations. Data IO's Operating Income historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Data IO's overall financial position and show how it may be relating to other accounts over time.
| Operating Income | 10 Years Trend |
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Operating Income |
| Timeline |
Data Operating Income Regression Statistics
| Arithmetic Mean | (437,394) | |
| Coefficient Of Variation | (666.57) | |
| Mean Deviation | 2,304,064 | |
| Median | (273,000) | |
| Standard Deviation | 2,915,523 | |
| Sample Variance | 8.5T | |
| Range | 12M | |
| R-Value | (0.29) | |
| Mean Square Error | 8.3T | |
| R-Squared | 0.08 | |
| Significance | 0.27 | |
| Slope | (164,964) | |
| Total Sum of Squares | 136T |
Data Operating Income History
Other Fundumenentals of Data IO
Data IO Operating Income component correlations
Click cells to compare fundamentals
About Data IO Financial Statements
Data IO investors utilize fundamental indicators, such as Operating Income, to predict how Data Stock might perform in the future. Analyzing these trends over time helps investors make informed market timing decisions. For further insights, please visit our fundamental analysis page.
| Last Reported | Projected for Next Year | ||
| Operating Income | -2.7 M | -2.6 M | |
| Non Operating Income Net Other | -461.7 K | -438.6 K |
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
| 0.73 | 75S | SDM SE INH | PairCorr |
| 0.68 | EHGO | Eshallgo Class A | PairCorr |
| 0.65 | ELSE | Electro Sensors | PairCorr |
| 0.59 | AMPGW | AmpliTech Group | PairCorr |
| 0.52 | DSWL | Deswell Industries | 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 the analysis of Data IO Correlation against competitors. 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.