Data Historical Income Statement
| DAIO Stock | USD 2.60 0.02 0.78% |
Historical analysis of Data IO income statement accounts such as Selling General Administrative of 12.7 M or Total Revenue of 30.6 M can show how well Data IO performed in making a profits. Evaluating Data IO income statement over time to spot trends is a great complementary tool to traditional technical analysis and can indicate the direction of Data IO's future profits or losses.
Financial Statement Analysis is much more than just reviewing and examining Data IO latest accounting reports to predict its past. Macroaxis encourages investors to analyze financial statements over time for various trends across multiple indicators and accounts to determine whether Data IO is a good buy for the upcoming year.
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About Data Income Statement Analysis
Data IO Income Statement consists of revenues and expenses along with the resulting net income or loss. It represents the profit for the accounting period attributable to Data IO shareholders. The income statement also shows Data investors and management if the firm made money during the period reported. The result of an income statement is the net income that is calculated after subtracting the expenses from revenue. It is essential to investors both as an absolute measure as well as earnings per share (i.e., EPS).
Data IO Income Statement Chart
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Total Revenue
Total revenue comprises all receipts Data IO generated from the sale of its products or services. The total amount of income generated by the sale of goods or services related to the company's primary operations.Gross Profit
Gross profit is a required income statement account that reflects total revenue of Data IO minus its cost of goods sold. It is profit before Data IO operating expenses, interest payments and taxes. Gross profit is also known as gross margin. The profit a company makes after deducting the costs associated with making and selling its products, or the costs associated with providing its services.Other Operating Expenses
Other Operating Expenses is the expense which generally does not depend on sales or production quantities of Data IO. It is also known as Data IO overhead expenses. Typically these expenses include marketing, rent and utilities, office, leases, and other overhead cost. Expenses incurred from non-core business activities, including administrative and general expenses, but excluding costs directly related to production.Most accounts from Data IO's income statement are interrelated and interconnected. However, analyzing income statement accounts one by one will only give a small insight into Data IO current financial condition. On the other hand, looking into the entire matrix of income statement accounts, and analyzing their relationships over time can provide a more complete picture of the company financial strength now and in the future. 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.At this time, Data IO's Cost Of Revenue is very stable compared to the past year. As of the 25th of November 2024, Total Operating Expenses is likely to grow to about 17.5 M, while Depreciation And Amortization is likely to drop about 577.6 K.
| 2021 | 2022 | 2023 | 2024 (projected) | Gross Profit | 14.7M | 13.2M | 16.2M | 17.9M | Total Revenue | 25.8M | 24.2M | 28.1M | 30.6M |
Data IO income statement Correlations
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Data IO Account Relationship Matchups
High Positive Relationship
High Negative Relationship
Data IO income statement Accounts
| 2019 | 2020 | 2021 | 2022 | 2023 | 2024 (projected) | ||
| Depreciation And Amortization | (69K) | 815K | 667K | 560K | 608K | 577.6K | |
| Interest Expense | 1.1M | 1.5M | 316K | 34K | 39.1K | 37.1K | |
| Selling General Administrative | 7.4M | 6.9M | 8.4M | 7.9M | 9.2M | 12.7M | |
| Total Revenue | 21.6M | 20.3M | 25.8M | 24.2M | 28.1M | 30.6M | |
| Gross Profit | 12.6M | 10.8M | 14.7M | 13.2M | 16.2M | 17.9M | |
| Other Operating Expenses | 22.8M | 22.8M | 26.1M | 25.0M | 27.6M | 30.2M | |
| Operating Income | (1.3M) | (2.4M) | (273K) | (749K) | 448K | 347.6K | |
| Ebit | (1.3M) | (2.1M) | (273K) | (749K) | 448K | 503.8K | |
| Ebitda | (1.3M) | (1.3M) | 394K | (189K) | 1.1M | 2.0M | |
| Cost Of Revenue | 9.0M | 9.5M | 11.1M | 11.0M | 11.9M | 12.7M | |
| Total Operating Expenses | 13.8M | 13.2M | 15.0M | 14.0M | 15.7M | 17.5M | |
| Income Before Tax | (1.2M) | (3.6M) | (443K) | (437K) | 680K | 714K | |
| Net Income | (1.2M) | (4.0M) | (555K) | (1.1M) | 486K | 510.3K | |
| Income Tax Expense | 31K | 387K | 112K | 683K | 194K | 336.3K | |
| Research Development | 6.5M | 6.4M | 6.6M | 6.1M | 6.5M | 5.0M | |
| Net Income Applicable To Common Shares | (1.2M) | (4.0M) | (555K) | (1.1M) | (1.0M) | (957.6K) | |
| Net Income From Continuing Ops | (1.2M) | (4.0M) | (555K) | (1.1M) | 486K | 510.3K | |
| Non Operating Income Net Other | 85K | 122K | 69K | (513K) | (461.7K) | (438.6K) | |
| Tax Provision | 31K | 387K | 112K | 683K | 194K | 176.1K | |
| Interest Income | 53K | 14K | 11K | 34K | 190K | 199.5K | |
| Net Interest Income | 53K | 14K | 11K | 34K | 190K | 199.5K | |
| Reconciled Depreciation | 867K | 815K | 667K | 560K | 608K | 605.0K |
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
| 0.5 | KO | Coca Cola Aggressive Push | PairCorr |
| 0.49 | PG | Procter Gamble | PairCorr |
| 0.42 | MRK | Merck Company Fiscal Year End 6th of February 2025 | PairCorr |
| 0.32 | VZ | Verizon Communications Aggressive Push | 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 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 Latest Portfolios module to quick portfolio dashboard that showcases your latest portfolios.
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 (0.83) | Earnings Share (0.20) | Revenue Per Share 2.579 | Quarterly Revenue Growth (0.17) | Return On Assets (0.04) |
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.