Data Cost Of Revenue vs Other Operating Expenses Analysis
DAIO Stock | USD 2.88 0.02 0.69% |
Data IO financial indicator trend analysis is much more than just examining Data IO latest accounting drivers to predict future trends. We encourage investors to analyze account correlations over time for multiple indicators to determine whether Data IO is a good investment. Please check the relationship between Data IO Cost Of Revenue and its Other Operating Expenses accounts. 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.
Cost Of Revenue vs Other Operating Expenses
Cost Of Revenue vs Other Operating Expenses Correlation Analysis
The overlapping area represents the amount of trend that can be explained by analyzing historical patterns of Data IO Cost Of Revenue account and Other Operating Expenses. At this time, the significance of the direction appears to have almost identical trend.
The correlation between Data IO's Cost Of Revenue and Other Operating Expenses is 0.94. Overlapping area represents the amount of variation of Cost Of Revenue that can explain the historical movement of Other Operating Expenses in the same time period over historical financial statements of Data IO, assuming nothing else is changed. The correlation between historical values of Data IO's Cost Of Revenue and Other Operating Expenses is a relative statistical measure of the degree to which these accounts tend to move together. The correlation coefficient measures the extent to which Cost Of Revenue of Data IO are associated (or correlated) with its Other Operating Expenses. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when Other Operating Expenses has no effect on the direction of Cost Of Revenue i.e., Data IO's Cost Of Revenue and Other Operating Expenses go up and down completely randomly.
Correlation Coefficient | 0.94 |
Relationship Direction | Positive |
Relationship Strength | Very Strong |
Cost Of Revenue
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.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 indicators from Data IO's fundamental ratios are interrelated and interconnected. However, analyzing fundamental ratios indicators 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 fundamental ratios indicators, 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 Selling General Administrative is very stable compared to the past year. As of the 14th of December 2024, Enterprise Value Over EBITDA is likely to grow to 15.36, while Tax Provision is likely to drop about 176.1 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 fundamental ratios Correlations
Click cells to compare fundamentals
Data IO Account Relationship Matchups
High Positive Relationship
High Negative Relationship
Data IO fundamental ratios Accounts
2019 | 2020 | 2021 | 2022 | 2023 | 2024 (projected) | ||
Total Assets | 28.3M | 25.6M | 29.1M | 27.2M | 27.4M | 27.6M | |
Other Current Liab | 2.3M | 2.1M | 3.1M | 2.5M | 2.6M | 5.0M | |
Total Current Liabilities | 5.5M | 5.2M | 6.8M | 6.3M | 6.2M | 7.6M | |
Total Stockholder Equity | 21.5M | 19.6M | 19.9M | 19.1M | 20.3M | 19.1M | |
Property Plant And Equipment Net | 1.7M | 1.2M | 946K | 1.1M | 2.7M | 4.8M | |
Net Debt | (12.8M) | (13.6M) | (11.9M) | (9.2M) | (10.8M) | (11.4M) | |
Retained Earnings | 2.5M | (1.5M) | (2.0M) | (3.1M) | (2.6M) | (2.5M) | |
Cash | 13.9M | 14.2M | 14.2M | 11.5M | 12.3M | 11.7M | |
Non Current Assets Total | 4.3M | 2.3M | 3.8M | 3.3M | 2.8M | 2.6M | |
Non Currrent Assets Other | 2.0M | 1.1M | 2.8M | 2.2M | 66K | 62.7K | |
Cash And Short Term Investments | 13.9M | 14.2M | 14.2M | 11.5M | 12.3M | 12.2M | |
Net Receivables | 4.1M | 2.5M | 4.0M | 5.0M | 5.7M | 5.7M | |
Common Stock Shares Outstanding | 8.2M | 8.3M | 8.5M | 8.7M | 9.1M | 8.9M | |
Liabilities And Stockholders Equity | 28.3M | 25.6M | 29.1M | 27.2M | 27.4M | 27.6M | |
Inventory | 5.0M | 5.3M | 6.4M | 6.8M | 5.9M | 4.7M | |
Other Current Assets | 924K | 1.3M | 737K | 645K | 690K | 655.5K | |
Other Stockholder Equity | 21.3M | 20.1M | 20.9M | 21.9M | 19.7M | 19.8M | |
Total Liab | 6.8M | 6.0M | 9.2M | 8.1M | 7.1M | 8.4M | |
Property Plant And Equipment Gross | 1.7M | 1.2M | 946K | 6.2M | 6.8M | 5.1M | |
Total Current Assets | 24.0M | 23.3M | 25.3M | 23.9M | 24.6M | 21.2M | |
Accumulated Other Comprehensive Income | 274K | 1.0M | 978K | 343K | 233K | 244.7K | |
Short Term Debt | 678K | 673K | 601K | 799K | 798K | 901.5K | |
Non Current Liabilities Total | 1.3M | 762K | 2.4M | 1.7M | 894K | 978.8K | |
Accounts Payable | 1.2M | 1.2M | 1.4M | 1.4M | 1.3M | 1.3M | |
Common Stock Total Equity | 19.0M | 19.3M | 18.7M | 20.1M | 23.1M | 20.7M | |
Common Stock | 18.7M | 20.1M | 20.9M | 21.9M | 22.7M | 21.4M | |
Other Liab | 91K | 174K | 138K | 237K | 213.3K | 416.1K | |
Property Plant Equipment | 2.0M | 1.7M | 1.2M | 946K | 851.4K | 1.3M | |
Current Deferred Revenue | 1.4M | 1.1M | 1.5M | 1.6M | 1.4M | 1.2M | |
Other Assets | 818K | 1.1M | 1.1M | 2.8M | 3.3M | 3.4M | |
Net Tangible Assets | 22.7M | 19.6M | 19.9M | 19.1M | 22.0M | 20.4M | |
Retained Earnings Total Equity | 2.1M | 3.7M | 2.5M | (1.5M) | (1.7M) | (1.8M) | |
Non Current Liabilities Other | 527K | 511K | 91K | 174K | 200.1K | 349.7K | |
Net Invested Capital | 21.5M | 19.6M | 19.9M | 19.1M | 20.3M | 16.7M | |
Net Working Capital | 18.5M | 18.1M | 18.5M | 17.6M | 18.4M | 15.0M | |
Capital Stock | 18.7M | 20.1M | 20.9M | 21.9M | 22.7M | 22.7M |
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
Moving against Data Stock
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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 Top Crypto Exchanges module to search and analyze digital assets across top global cryptocurrency exchanges.
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.