Data Storage Stock Return On Asset

DTSTW Stock  USD 0.49  0.12  32.43%   
Data Storage fundamentals help investors to digest information that contributes to Data Storage's financial success or failures. It also enables traders to predict the movement of Data Stock. The fundamental analysis module provides a way to measure Data Storage's intrinsic value by examining its available economic and financial indicators, including the cash flow records, the balance sheet account changes, the income statement patterns, and various microeconomic indicators and financial ratios related to Data Storage stock.
Return On Assets is likely to climb to 0.02 in 2024.
  
This module does not cover all equities due to inconsistencies in global equity categorizations. Continue to Equity Screeners to view more equity screening tools.

Data Storage Company Return On Asset Analysis

Data Storage's Return on Asset or ROA shows how effective is the management of the company in generating income from utilizing all of the assets at their disposal. It is a useful ratio to evaluate the performance of different departments of a company as well as to understand management performance over time.

Return On Asset

 = 

Net Income

Total Assets

More About Return On Asset | All Equity Analysis

Current Data Storage Return On Asset

    
  -0.0109  
Most of Data Storage's fundamental indicators, such as Return On Asset, are part of a valuation analysis module that helps investors searching for stocks that are currently trading at higher or lower prices than their real value. If the real value is higher than the market price, Data Storage is considered to be undervalued, and we provide a buy recommendation. Otherwise, we render a sell signal.

Data Return On Asset Driver Correlations

Understanding the fundamental principles of building solid financial models for Data Storage is extremely important. It helps to project a fair market value of Data Stock properly, considering its historical fundamentals such as Return On Asset. Since Data Storage's main accounts across its financial reports are all linked and dependent on each other, it is essential to analyze all possible correlations between related accounts. However, instead of reviewing all of Data Storage's historical financial statements, investors can examine the correlated drivers to determine its overall health. This can be effectively done using a conventional correlation matrix of Data Storage's interrelated accounts and indicators.
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Return on Asset measures overall efficiency of a company in generating profits from its total assets. It is expressed as the percentage of profits earned per dollar of Asset. A low ROA typically means that a company is asset-intensive and therefore will needs more money to continue generating revenue in the future.
Competition

Data Total Assets

Total Assets

24.47 Million

At this time, Data Storage's Total Assets are fairly stable compared to the past year.
Based on the latest financial disclosure, Data Storage has a Return On Asset of -0.0109. This is much lower than that of the IT Services sector and significantly lower than that of the Information Technology industry. The return on asset for all United States stocks is notably higher than that of the company.

Data Return On Asset Peer Comparison

Stock peer comparison is one of the most widely used and accepted methods of equity analyses. It analyses Data Storage's direct or indirect competition against its Return On Asset to detect undervalued stocks with similar characteristics or determine the stocks which would be a good addition to a portfolio. Peer analysis of Data Storage could also be used in its relative valuation, which is a method of valuing Data Storage by comparing valuation metrics of similar companies.
Data Storage is currently under evaluation in return on asset category among its peers.

Data Storage Current Valuation Drivers

We derive many important indicators used in calculating different scores of Data Storage from analyzing Data Storage's financial statements. These drivers represent accounts that assess Data Storage's ability to generate profits relative to its revenue, operating costs, and shareholders' equity. Below are some of Data Storage's important valuation drivers and their relationship over time.
201920202021202220232024 (projected)
Market Cap384.5K449.8K15.5M10.0M19.7M20.7M
Enterprise Value3.4M2.8M5.4M9.4M18.9M19.8M

Data Fundamentals

About Data Storage Fundamental Analysis

The Macroaxis Fundamental Analysis modules help investors analyze Data Storage's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Data Storage using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Data Storage based on its fundamental data. In general, a quantitative approach, as applied to this company, focuses on analyzing financial statements comparatively, whereas a qaualitative method uses data that is important to a company's growth but cannot be measured and presented in a numerical way.
Please read more on our fundamental analysis page.

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Additional Tools for Data Stock Analysis

When running Data Storage's price analysis, check to measure Data Storage's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Data Storage is operating at the current time. Most of Data Storage's value examination focuses on studying past and present price action to predict the probability of Data Storage's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Data Storage's price. Additionally, you may evaluate how the addition of Data Storage to your portfolios can decrease your overall portfolio volatility.