Data Translation Financials

Based on the analysis of Data Translation's profitability, liquidity, and operating efficiency, Data Translation is not in a good financial situation at the moment. It has a very high risk of going through financial straits in May.
With this module, you can analyze Data financials for your investing period. You should be able to track the changes in Data Translation individual financial statements over time to develop the understanding of its risk, liquidity, profitability, or other critical and vital indicators.
  
Understanding current and past Data Translation Financials, including the trends in assets, liabilities, equity and income are directly related to making proper and timely investing decisions. All of Data Translation's financial statements are interrelated, with each one affecting the others. For example, an increase in Data Translation's assets may result in an increase in income on the income statement.
The data published in Data Translation's official financial statements usually reflect Data Translation's business processes, product offerings, services, and other fundamental events. But there are other numbers, ratios, or fundamental indicators derived from these statements that are easier to understand and visualize within the underlying realities that drive quantitative information of Data Translation. For example, before you start analyzing numbers published by Data accountants, it's critical to develop an understanding of what Data Translation's liquidity, profitability, and earnings quality are in the context of the Data space in which it operates.
Please note, the presentation of Data Translation's financial position, as portrayed in its financial statements, is often influenced by management's estimates, judgments, and sometimes even manipulations. In the best case, Data Translation's management is honest, while the outside auditors are strict and uncompromising. Whatever the case, the imprecision that can be found in Data Translation's accounting process means that the reasonable investor should take a skeptical approach toward the financial statement analysis of Data Translation. Please utilize our Beneish M Score to check the likelihood of Data Translation's management manipulating its earnings.

Data Translation Stock Summary

Data Translation competes with Franklin Street, Bassett Furniture, Simon Property, Kite Realty, and Arrow Electronics. Data Translation, Inc. designs, manufactures, and offer data acquisition solutions for the test and measurement markets.
InstrumentUSA Stock View All
ExchangeNASDAQ Exchange
Business AddressMarlborough, MA
BenchmarkNYSE Composite
Websitewww.datatranslation.com
Phone508 481 3700
You should never invest in Data Translation without having analyzed its financial statements. Do not rely on someone else's analysis or guesses about the future performance of Data Stock, because this is throwing your money away. Analyzing the key information contained in Data Translation's financial statements can give you an edge over other investors and help to ensure that your investments perform well for you.

Data Translation Key Financial Ratios

Generally speaking, Data Translation's financial ratios allow both analysts and investors to convert raw data from Data Translation's financial statements into concise, actionable information that can be used to evaluate the performance of Data Translation over time and compare it to other companies across industries. There are many critical financial ratios that investors are exposed to on a daily basis, but they are usually grouped into few meaningful categories from each financial statement that Data Translation reports annually and quarterly.

Data Financial Ratios Relationships

Comparative valuation techniques use various fundamental indicators to help in determining Data Translation's current stock value. Our valuation model uses many indicators to compare Data Translation value to that of its competitors to determine the firm's financial worth. You can analyze the relationship between different fundamental ratios across Data Translation competition to find correlations between indicators driving Data Translation's intrinsic value. More Info.
Data Translation is rated below average in return on asset category among related companies. It is rated below average in profit margin category among related companies . Comparative valuation analysis is a catch-all model that can be used if you cannot value Data Translation by discounting back its dividends or cash flows. This model doesn't attempt to find an intrinsic value for Data Translation's Stock. Still, instead, it compares the stock's price multiples to a benchmark or nearest competition to determine if the stock is relatively undervalued or overvalued. The reason why the comparable model can be used in almost all circumstances is due to the vast number of multiples that can be utilized, such as the price-to-earnings (P/E), price-to-book (P/B), price-to-sales (P/S), price-to-cash flow (P/CF), and many others. The P/E ratio is the most commonly used of these ratios because it focuses on the Data Translation's earnings, one of the primary drivers of an investment's value.
Check out Investing Opportunities to better understand how to build diversified portfolios. Also, note that the market value of any company could be tightly coupled with the direction of predictive economic indicators such as signals in estimate.
You can also try the Instant Ratings module to determine any equity ratings based on digital recommendations. Macroaxis instant equity ratings are based on combination of fundamental analysis and risk-adjusted market performance.

Other Consideration for investing in Data Stock

If you are still planning to invest in Data Translation check if it may still be traded through OTC markets such as Pink Sheets or OTC Bulletin Board. You may also purchase it directly from the company, but this is not always possible and may require contacting the company directly. Please note that delisted stocks are often considered to be more risky investments, as they are no longer subject to the same regulatory and reporting requirements as listed stocks. Therefore, it is essential to carefully research the Data Translation's history and understand the potential risks before investing.
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