Data Cost Of Revenue from 2010 to 2024
| DAIO Stock | USD 2.60 0.02 0.78% |
Cost Of Revenue | First Reported 1992-09-30 | Previous Quarter 2.3 M | Current Value 2.5 M | Quarterly Volatility 1.6 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 577.6 K, Interest Expense of 37.1 K or Selling General Administrative of 12.7 M, as well as many indicators such as Price To Sales Ratio of 0.86, Dividend Yield of 0.0 or PTB Ratio of 1.3. Data financial statements analysis is a perfect complement when working with Data IO Valuation or Volatility modules.
Data | Cost Of Revenue |
Latest Data IO's Cost Of Revenue Growth Pattern
Below is the plot of the Cost Of Revenue of Data IO over the last few years. Cost of Revenue is found on Data IO income statement and represents the costs associated with goods and services Data IO provides. Indirect cost, such as salaries, is not included. In other words, cost of revenue is the total cost incurred to obtain a sale. It is more than the traditional cost of goods sold, since it includes specific selling and marketing activities. It is Data IO's Cost Of Revenue 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.
| Cost Of Revenue | 10 Years Trend |
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Cost Of Revenue |
| Timeline |
Data Cost Of Revenue Regression Statistics
| Arithmetic Mean | 11,306,163 | |
| Geometric Mean | 11,097,646 | |
| Coefficient Of Variation | 21.49 | |
| Mean Deviation | 1,645,129 | |
| Median | 11,007,000 | |
| Standard Deviation | 2,429,887 | |
| Sample Variance | 5.9T | |
| Range | 9.9M | |
| R-Value | (0.13) | |
| Mean Square Error | 6.3T | |
| R-Squared | 0.02 | |
| Significance | 0.65 | |
| Slope | (69,310) | |
| Total Sum of Squares | 82.7T |
Data Cost Of Revenue History
About Data IO Financial Statements
Data IO investors utilize fundamental indicators, such as Cost Of Revenue, 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 | ||
| Cost Of Revenue | 11.9 M | 12.7 M |
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 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 Economic Indicators module to top statistical indicators that provide insights into how an economy is performing.
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.