Data Storage Net Worth
Data Storage Net Worth Breakdown | DTSTW |
Data Storage Net Worth Analysis
Data Storage's net worth analysis, or its valuation, is the process of determining the total value of the company. This involves assessing a range of factors, including Data Storage's financial performance, assets, liabilities, and potential for growth. The ultimate goal is to provide a clear understanding of Data Storage's overall worth, which can help investors make informed investment decisions. There are several methods that can be used to perform Data Storage's net worth analysis. One common approach is to calculate Data Storage's market capitalization.Another approach is to use the price-to-earnings ratio (P/E ratio), which compares Data Storage's stock price to its earnings per share (EPS). Discounted cash flow (DCF) analysis is another popular method for assessing Data Storage's net worth. This approach calculates the present value of Data Storage's future cash flows, taking into account factors such as growth rate, profitability, and risk. By comparing the present value of Data Storage's cash flows to its current stock price, investors can gain a better understanding of the company's overall value. Finally, investors may use comparable company analysis to evaluate Data Storage's net worth. This involves comparing Data Storage's financial metrics to similar companies in the same industry. By identifying companies with similar financial characteristics, investors can gain insight into Data Storage's net worth relative to its peers.
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 net worth research are outlined below:
| Data Storage is way too risky over 90 days horizon | |
| Data Storage has some characteristics of a very speculative penny stock | |
| Data Storage appears to be risky and price may revert if volatility continues |
Follow Data Storage's market capitalization trends
The company currently falls under 'Micro-Cap' category with a current market capitalization of 24.51 M.Project Data Storage's profitablity
The company has Profit Margin (PM) of 0.01 %, which maeans that even a very small decline in it revenue will erase profits resulting in a net loss. This is way below average. Similarly, it shows Operating Margin (OM) of (0.08) %, which suggests for every $100 dollars of sales, it generated a net operating loss of $0.08.When accessing Data Storage's net worth, it's important to look at multiple sources and consider different scenarios. 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.
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 Storage Earnings per Share Projection vs Actual
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.