Data Storage Net Worth

Data Storage Net Worth Breakdown

  DTST
The net worth of Data Storage Corp is the difference between its total assets and liabilities. Data Storage's net worth represents the value of the company's equity or ownership interest. In other words, it is the amount of money that would be left over if all of Data Storage's assets were sold and all of its debts were paid off. Net worth is sometimes referred to as shareholder's equity or book value. Data Storage's net worth can be used as a measure of its financial health and stability which can help investors to decide if Data Storage is a good investment. It is also essential in determining the company's creditworthiness and ability to secure financing before investing in Data Storage Corp stock.

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 Corp is way too risky over 90 days horizon
Data Storage Corp appears to be risky and price may revert if volatility continues
About 43.0% of the company shares are held by company insiders
Data Storage uses earnings reports to provide investors with an update of all three financial statements, including the income statement, the balance sheet, and the cash flow statement. Therefore, it is also crucial when considering investing in Data Storage Corp. Every quarterly earnings report provides investors with an overview of sales, expenses, and net income for the most recent period. It also may provide a comparison to Data Storage's previous reporting period. The quarterly earnings reports are usually disseminated to the public via Form 10-Q, which is a legal document filed with the Securities and Exchange Commission every quarter.
29th of March 2024
Upcoming Quarterly Report
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31st of December 2023
Next Fiscal Quarter End
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Follow Data Storage's market capitalization trends

The company currently falls under 'Micro-Cap' category with a current market capitalization of 34.34 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 (0.01) %, which suggests for every $100 dollars of sales, it generated a net operating loss of $0.01.
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 Corp. Check Data Storage's Beneish M Score to see the likelihood of Data Storage's management manipulating its earnings.
Some recent studies suggest that insider trading raises the cost of capital for securities issuers and decreases overall economic growth. Trading by specific Data Storage insiders, such as employees or executives, is commonly permitted as long as it does not rely on Data Storage's material information that is not in the public domain. Local jurisdictions usually require such trading to be reported in order to monitor insider transactions. In many U.S. states, trading conducted by corporate officers, key employees, directors, or significant shareholders must be reported to the regulator or publicly disclosed, usually within a few business days of the trade. In these cases Data Storage insiders are required to file a Form 4 with the U.S. Securities and Exchange Commission (SEC) when buying or selling shares of their own companies.
 
Harold Schwartz over three months ago
Disposition of 8333 shares by Harold Schwartz of Data Storage subject to Rule 16b-3
 
Chris Panagiotakos over three months ago
Disposition of 2003 shares by Chris Panagiotakos of Data Storage at 3.61 subject to Rule 16b-3
 
Argen John over three months ago
Acquisition by Argen John of 2500 shares of Data Storage at 6.56 subject to Rule 16b-3
 
Maglione Lawrence A. over three months ago
Acquisition by Maglione Lawrence A. of 2500 shares of Data Storage subject to Rule 16b-3
 
Charles Piluso over three months ago
Disposition of 3529 shares by Charles Piluso of Data Storage at 3.83 subject to Rule 16b-3
 
Charles Piluso over three months ago
Acquisition by Charles Piluso of 13747 shares of Data Storage at 4.5925 subject to Rule 16b-3
 
Correll Todd A. over three months ago
Disposition of 2500 shares by Correll Todd A. of Data Storage subject to Rule 16b-3
 
Charles Piluso over three months ago
Disposition of 9416 shares by Charles Piluso of Data Storage subject to Rule 16b-3
 
Chris Panagiotakos over six months ago
Acquisition by Chris Panagiotakos of 8019 shares of Data Storage at 4.175 subject to Rule 16b-3
 
Chris Panagiotakos over six months ago
Acquisition by Chris Panagiotakos of 5564 shares of Data Storage subject to Rule 16b-3
 
Chris Panagiotakos over six months ago
Disposition of 2304 shares by Chris Panagiotakos of Data Storage at 4.23 subject to Rule 16b-3
 
Charles Piluso over six months ago
Disposition of 2500 shares by Charles Piluso of Data Storage at 2.4 subject to Rule 16b-3
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

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.