Data Historical Financial Ratios
| DAIO Stock | USD 2.60 0.02 0.78% |
Data IO is recently reporting on over 106 different financial statement accounts. To analyze all of these accounts together requires a lot of time and effort. However, using these accounts to derive some meaningful and actionable indicators such as PTB Ratio of 1.3 or Days Sales Outstanding of 73.15 will help investors to properly organize and evaluate Data IO financial condition quickly.
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About Data Financial Ratios Analysis
Data IOFinancial ratios are relationships based on a company's financial information. They can serve as useful tools to evaluate Data IO investment potential. Financial ratio analysis can also be defined as the process of presenting financial ratios, which are mathematical indicators calculated by comparing key financial information appearing on Data financial statements. Financial ratios are useful tools that help investors analyze and compare relationships between different pieces of financial information across Data IO history.
Data IO Financial Ratios Chart
Add Fundamental
Price To Sales Ratio
Price to Sales Ratio is figured by comparing Data IO stock price to its revenues. An advantage to using Price to Sales ratio is that it is based on Data IO sales, a figure that is much harder to manipulate than other Data IO multiples. Because sales tend to be more stable P/S ratio can be a good tool for screening cyclical companies fluctuating earnings patterns. A valuation ratio that compares a company's stock price to its revenues, calculated by dividing the company's market cap by its total sales or revenue over a 12-month period.Ptb Ratio
Price-to-Book ratio, a financial valuation metric used to compare a company's current market price to its book value. It provides insight into the value that market participants place on the company's equity relative to its net asset value.Book Value Per Share
The ratio of equity available to common shareholders divided by the number of outstanding shares. This measure represents the value per share of a company according to its financial statements.Capex To Revenue
The ratio of a company's capital expenditures to its total revenue, indicating how much of the revenue is used for acquiring or maintaining physical assets.Most ratios from Data IO's fundamentals are interrelated and interconnected. However, analyzing fundamentals ratios 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 fundamentals ratios, 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 ROIC is very stable compared to the past year. As of the 25th of November 2024, Inventory Turnover is likely to grow to 3.00, while Price To Sales Ratio is likely to drop 0.86.
| 2021 | 2022 | 2023 (projected) | Days Sales Outstanding | 56.44 | 75.24 | 74.23 | PTB Ratio | 1.98 | 1.82 | 1.29 |
Data IO fundamentals Correlations
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Data IO Account Relationship Matchups
High Positive Relationship
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Data IO fundamentals Accounts
| 2019 | 2020 | 2021 | 2022 | 2023 | 2024 (projected) | ||
| Price To Sales Ratio | 1.43 | 1.62 | 1.69 | 1.52 | 0.94 | 0.86 | |
| Ptb Ratio | 1.79 | 1.63 | 1.75 | 1.98 | 1.82 | 1.29 | |
| Days Sales Outstanding | 69.37 | 44.78 | 56.44 | 75.24 | 74.23 | 73.15 | |
| Book Value Per Share | 2.61 | 2.36 | 2.32 | 2.19 | 2.27 | 3.22 | |
| Free Cash Flow Yield | (0.0773) | (0.00667) | 0.02 | (0.0614) | 0.0469 | 0.0493 | |
| Operating Cash Flow Per Share | 0.25 | (0.25) | 0.0757 | (0.12) | 0.27 | 0.26 | |
| Stock Based Compensation To Revenue | 0.0543 | 0.0722 | 0.0479 | 0.0486 | 0.0424 | 0.0252 | |
| Capex To Depreciation | 0.95 | 0.71 | 1.06 | 0.93 | 1.97 | 1.13 | |
| Pb Ratio | 1.79 | 1.63 | 1.75 | 1.98 | 1.82 | 1.29 | |
| Ev To Sales | 1.03 | 1.02 | 1.06 | 1.05 | 0.55 | 0.6 | |
| Free Cash Flow Per Share | 0.86 | 0.14 | (0.33) | (0.0275) | 0.0921 | (0.24) | |
| Roic | (0.0578) | (0.13) | (0.0155) | (0.0931) | 0.0152 | 0.016 | |
| Net Income Per Share | (0.14) | (0.48) | (0.065) | (0.13) | 0.0544 | 0.0571 | |
| Days Of Inventory On Hand | 203.18 | 202.35 | 208.56 | 223.87 | 180.53 | 113.05 | |
| Payables Turnover | 7.83 | 7.64 | 8.1 | 8.06 | 9.34 | 10.84 | |
| Capex To Revenue | 0.0284 | 0.0423 | 0.0241 | 0.0446 | 0.0426 | 0.0545 | |
| Cash Per Share | 2.19 | 1.69 | 1.7 | 1.66 | 1.38 | 1.54 | |
| Pocfratio | (16.71) | 54.41 | 27.94 | (32.99) | 10.83 | 9.16 | |
| Capex To Operating Cash Flow | (0.29) | 1.36 | 0.44 | (1.03) | 0.49 | 0.47 | |
| Pfcf Ratio | (12.93) | (149.92) | 50.05 | (16.28) | 21.32 | 22.39 | |
| Days Payables Outstanding | 46.59 | 47.8 | 45.09 | 45.3 | 39.09 | 31.75 | |
| Income Quality | 1.77 | (0.16) | (2.54) | 0.94 | 5.0 | 5.25 | |
| Ev To Operating Cash Flow | (10.62) | 32.89 | 19.49 | (24.23) | 6.36 | 4.25 | |
| Pe Ratio | (29.51) | (8.66) | (70.98) | (30.98) | 54.09 | 56.79 | |
| Ev To Free Cash Flow | (8.22) | (90.62) | 34.92 | (11.96) | 12.53 | 13.15 | |
| Earnings Yield | (0.0339) | (0.12) | (0.0141) | (0.0323) | 0.0185 | 0.0194 | |
| Net Debt To E B I T D A | 31.04 | 10.29 | (30.24) | 48.74 | (10.27) | (9.75) | |
| Current Ratio | 4.37 | 4.48 | 3.72 | 3.78 | 3.98 | 2.64 | |
| Tangible Book Value Per Share | 2.61 | 2.36 | 2.32 | 2.19 | 2.27 | 3.25 | |
| Receivables Turnover | 5.26 | 8.15 | 6.47 | 4.85 | 4.92 | 4.64 | |
| Graham Number | 2.91 | 5.02 | 1.84 | 2.51 | 1.67 | 1.58 | |
| Shareholders Equity Per Share | 2.61 | 2.36 | 2.32 | 2.19 | 2.27 | 3.22 | |
| Capex Per Share | 0.11 | 0.0742 | 0.1 | 0.0729 | 0.12 | 0.23 |
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 AI Portfolio Architect module to use AI to generate optimal portfolios and find profitable investment opportunities.
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.