Is Data Storage Stock a Good Investment?
Data Storage Investment Advice | DTSTW |
- Examine Data Storage's financial health by looking at its balance sheet, income statement, and cash flow statement. Analyze key financial ratios, such as Price-to-Earnings (P/E), Price-to-Sales (P/S), and Price-to-Book (P/B), to determine whether the stock is fairly valued or over/undervalued.
- Research Data Storage's leadership team and their track record. Good management can help Data Storage navigate difficult times and make strategic decisions that benefit shareholders and increases its net worth.
- Consider the overall health of the Internet Services & Infrastructure space and any emerging trends that could impact Data Storage's business and its evolving consumer preferences.
- Compare Data Storage's performance and market position to its competitors. Analyze how Data Storage is positioned in terms of product offerings, innovation, and market share.
- Check if Data Storage pays a dividend and its dividend yield and payout ratio.
- Review what financial analysts are saying about Data Storage's stock and their price targets. However, remember that analysts' opinions can vary, and their predictions may not always be accurate.
It's important to note that investing in Data Storage stock, carries risks, and you should carefully consider your investment goals and risk tolerance before making any investment decisions. Also, remember that it's important for investors to have a long-term perspective and a well-diversified portfolio to manage the impact of stock market volatility on their investments. Below is a detailed guide on how to decide if Data Storage is a good investment.
Sell | Buy |
Strong Sell
Market Performance | Weak | Details | |
Volatility | Out of control | Details | |
Hype Condition | Stale | Details | |
Current Valuation | Overvalued | Details | |
Odds Of Distress | Low | Details | |
Economic Sensitivity | Very regressive towards the market | Details | |
Investor Sentiment | Alarmed | Details | |
Analyst Consensus | Not Available | Details | |
Financial Strenth (F Score) | Healthy | Details | |
Financial Leverage | Inapplicable | Details | |
Reporting Quality (M-Score) | Unlikely Manipulator | Details |
Examine Data Storage Stock
Researching Data Storage's stock involves analyzing various aspects of the company and its industry to make an informed investment decision. The key areas to focus on are fundamentals, business model and competitive advantage. It is also important to analyze trends in revenue, net income, and cash flow, as well as key financial ratios, such as price-to-earnings (P/E), price-to-sales (P/S), and debt-to-equity (D/E). The company had not issued any dividends in recent years.
To determine if Data Storage is a good investment, evaluating the company's potential for future growth is also very important. This may include expanding into new markets, launching new products or services, or improving operational efficiency. Companies with strong growth prospects can be more attractive investments. This aspect of the research should be conducted in the context of the overall market and industry in which the company operates and should include an analysis of growth potential, competitive landscape, and any regulatory or economic factors that could impact the business. Some of the essential points regarding Data Storage's research are outlined below:
Data Storage had very high historical volatility over the last 90 days | |
Data Storage has some characteristics of a very speculative penny stock | |
Latest headline from news.google.com: NetApp Stock Jumps On Earnings Beat For Enterprise Data Storage Firm - Yahoo Voices |
Data Storage Quarterly Good Will |
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Data Storage's market capitalization trends
The company currently falls under 'Micro-Cap' category with a current market capitalization of 24.51 M.Market Cap |
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Data Storage's profitablity analysis
Last Reported | Projected for Next Year | ||
Return On Tangible Assets | 0.02 | 0.02 | |
Return On Capital Employed | (0.01) | (0.01) | |
Return On Assets | 0.02 | 0.02 | |
Return On Equity | 0.02 | 0.02 |
Determining Data Storage's profitability involves analyzing its financial statements and using various financial metrics to determine if Data Storage is a good buy. For example, gross profit margin measures Data Storage's profitability after accounting for the cost of goods sold, while net profit margin measures profitability after accounting for all expenses. Other important metrics include return on assets, return on equity, and free cash flow. By reviewing multiple sources and metrics, you can gain a complete picture of Data Storage's profitability and make more informed investment decisions.
Please note, the imprecision that can be found in Data Storage's accounting process means that the reasonable investor should take a skeptical approach toward the financial statement analysis of Data Storage. Check Data Storage's Beneish M Score to see the likelihood of Data Storage's management manipulating its earnings.
Evaluate Data Storage's management efficiency
Data Storage has return on total asset (ROA) of (0.0109) % which means that it has lost $0.0109 on every $100 spent on assets. This is way below average. Data Storage's management efficiency ratios could be used to measure how well Data Storage manages its routine affairs as well as how well it operates its assets and liabilities. At this time, Data Storage's Return On Tangible Assets are fairly stable compared to the past year. Return On Assets is likely to climb to 0.02 in 2024, whereas Return On Capital Employed is likely to drop (0.01) in 2024. At this time, Data Storage's Total Assets are fairly stable compared to the past year. Non Currrent Assets Other is likely to climb to about 60.9 K in 2024, whereas Intangible Assets are likely to drop slightly above 968.8 K in 2024.Last Reported | Projected for Next Year | ||
Book Value Per Share | 2.89 | 3.03 | |
Tangible Book Value Per Share | 2.02 | 2.12 | |
Enterprise Value Over EBITDA | 10.39 | 10.91 | |
Price Book Value Ratio | 0.99 | 0.66 | |
Enterprise Value Multiple | 10.39 | 10.91 | |
Price Fair Value | 0.99 | 0.66 | |
Enterprise Value | 18.9 M | 19.8 M |
Understanding the operational decisions made by Data Storage management offers insights into its financial robustness. This evaluation is crucial for assessing the stock's investment potential.
Beta 0.719 |
Basic technical analysis of Data Stock
As of the 1st of December, Data Storage shows the Coefficient Of Variation of 4964.11, mean deviation of 9.21, and Downside Deviation of 12.02. Data Storage technical analysis allows you to utilize historical prices and volume patterns in order to determine a pattern that computes the direction of the firm's future prices. Please confirm Data Storage variance and potential upside to decide if Data Storage is priced favorably, providing market reflects its regular price of 0.37 per share. As Data Storage appears to be a penny stock we also advise to verify its total risk alpha numbers.Understand Data Storage's technical and predictive indicators
Using predictive indicators to make investment decisions involves analyzing Data Storage's various financial and market-based factors to help forecast future trends and identify investment opportunities. Select the indicators that are most relevant to your investment strategy. Each indicator has its own strengths and weaknesses, so it's essential to combine multiple indicators to get a more comprehensive view of the market and reduce the risk of making poor decisions based on limited data.
Risk Adjusted Performance | 0.0248 | |||
Market Risk Adjusted Performance | (0.15) | |||
Mean Deviation | 9.21 | |||
Semi Deviation | 10.57 | |||
Downside Deviation | 12.02 | |||
Coefficient Of Variation | 4964.11 | |||
Standard Deviation | 13.68 | |||
Variance | 187.19 | |||
Information Ratio | 0.0101 | |||
Jensen Alpha | 0.4809 | |||
Total Risk Alpha | (2.02) | |||
Sortino Ratio | 0.0115 | |||
Treynor Ratio | (0.16) | |||
Maximum Drawdown | 68.53 | |||
Value At Risk | (21.54) | |||
Potential Upside | 31.71 | |||
Downside Variance | 144.42 | |||
Semi Variance | 111.65 | |||
Expected Short fall | (12.43) | |||
Skewness | 0.9345 | |||
Kurtosis | 2.02 |
Risk Adjusted Performance | 0.0248 | |||
Market Risk Adjusted Performance | (0.15) | |||
Mean Deviation | 9.21 | |||
Semi Deviation | 10.57 | |||
Downside Deviation | 12.02 | |||
Coefficient Of Variation | 4964.11 | |||
Standard Deviation | 13.68 | |||
Variance | 187.19 | |||
Information Ratio | 0.0101 | |||
Jensen Alpha | 0.4809 | |||
Total Risk Alpha | (2.02) | |||
Sortino Ratio | 0.0115 | |||
Treynor Ratio | (0.16) | |||
Maximum Drawdown | 68.53 | |||
Value At Risk | (21.54) | |||
Potential Upside | 31.71 | |||
Downside Variance | 144.42 | |||
Semi Variance | 111.65 | |||
Expected Short fall | (12.43) | |||
Skewness | 0.9345 | |||
Kurtosis | 2.02 |
Consider Data Storage's intraday indicators
Data Storage intraday indicators are useful technical analysis tools used by many experienced traders. Just like the conventional technical analysis, daily indicators help intraday investors to analyze the price movement with the timing of Data Storage stock daily movement. By combining multiple daily indicators into a single trading strategy, you can limit your risk while still earning strong returns on your managed positions.
Data Storage time-series forecasting models is one of many Data Storage's stock analysis techniques aimed to predict future share value based on previously observed values. Time-series forecasting models ae widely used for non-stationary data. Non-stationary data are called the data whose statistical properties e.g. the mean and standard deviation are not constant over time but instead, these metrics vary over time. These non-stationary Data Storage's historical data is usually called time-series. Some empirical experimentation suggests that the statistical forecasting models outperform the models based exclusively on fundamental analysis to predict the direction of the market movement and maximize returns from investment trading.
Data Stock media impact
Far too much social signal, news, headlines, and media speculation about Data Storage that are available to investors today. That information is available publicly through Data media outlets and privately through word of mouth or via Data internal channels. However, regardless of the origin, that massive amount of Data data is challenging to quantify into actionable patterns, especially for investors that are not very sophisticated with ever-evolving tools and techniques used in the investment management field.
A primary focus of Data Storage news analysis is to determine if its current price reflects all relevant headlines and social signals impacting the current market conditions. A news analyst typically looks at the history of Data Storage relative headlines and hype rather than examining external drivers such as technical or fundamental data. It is believed that price action tends to repeat itself due to investors' collective, patterned thinking related to Data Storage's headlines and news coverage data. This data is often completely overlooked or insufficiently analyzed for actionable insights to drive Data Storage alpha.
Data Storage Sentiment by Major News Outlets
Investor sentiment, mood or attitude towards Data Storage can have a significant impact on its stock price or the market as a whole. This sentiment can be positive or negative, and various factors, such as economic indicators, news events, or market trends, can influence it. When investor sentiment is positive, investors are more likely to buy stocks, increasing demand and increasing the stock price. Positive investor sentiment can be driven by good news about the company or the broader market, such as solid earnings reports or positive economic data.
Note that negative investor sentiment can cause investors to sell stocks, leading to a decrease in demand and a drop in the stock price. Negative sentiment can be driven by factors such as poor earnings reports, negative news about the company or industry, or broader economic concerns. It's important to note that investor sentiment is just one of many factors that can affect stock prices. Other factors, such as company performance, industry trends, and global economic conditions, can also play a significant role in determining the value of a stock.
Data Storage Corporate Management
Chuck Paolillo | Chief Officer | Profile | |
Colin Freeman | Managing Europe | Profile | |
Chris Panagiotakos | Chief Officer | Profile | |
Wendy Schmittzeh | Corporate Manager | Profile |
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.