Data Storage Stock Analysis

Data Stock Analysis Notes

The company had not issued any dividends in recent years. To learn more about Data Storage call Charles Piluso at 212 564 4922 or check out https://www.dtst.com.

Data Storage Investment Alerts

Data Market Capitalization

The company currently falls under 'Micro-Cap' category with a current market capitalization of 24.51 M.

Data Profitablity

The company has Profit Margin (PM) of 0.64 %, 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 (2.63) %, which suggests for every $100 dollars of sales, it generated a net operating loss of $2.63.

Management Efficiency

Return On Tangible Assets is likely to climb to 0.03 in 2026. Return On Capital Employed is likely to climb to 0 in 2026. At this time, Data Storage's Total Assets are fairly stable compared to the past year. Non Current Assets Total is likely to climb to about 11.9 M in 2026, whereas Other Assets are likely to drop slightly above 56.2 K in 2026. 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.

Technical Drivers

As of the 17th of February 2026, Data Storage shows the Downside Deviation of 12.4, mean deviation of 6.22, and Coefficient Of Variation of 12774.4. 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 0.1149 per share. As Data Storage appears to be a penny stock we also advise to verify its total risk alpha numbers.

Data Storage Price Movement Analysis

Data Storage Insider Trading Activities

Data Storage Outstanding Bonds

Data Storage Predictive Daily Indicators

Data Storage Forecast Models

Data Storage's time-series forecasting models are one of many Data Storage's stock analysis techniques aimed at predicting 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 Bond Ratings

Data Storage financial ratings play a critical role in determining how much Data Storage have to pay to access credit markets, i.e., the amount of interest on their issued debt. The threshold between investment-grade and speculative-grade ratings has important market implications for Data Storage's borrowing costs.

Data Storage Total Assets Over Time

Data Storage Assets Financed by Debt

The debt-to-assets ratio shows the degree to which Data Storage uses debt to finance its assets. It includes both long-term and short-term borrowings maturing within one year. It also includes both tangible and intangible assets, such as goodwill.

Data Storage Debt Ratio

2.91

It appears most of the Data Storage's assets are financed through equity. Typically, companies with high debt-to-asset ratios are said to be highly leveraged. The higher the ratio, the greater risk will be associated with the Data Storage's operation. In addition, a high debt-to-assets ratio may indicate a low borrowing capacity of Data Storage, which in turn will lower the firm's financial flexibility.

Data Storage Corporate Bonds Issued

Data Net Debt

Stock analysis is the technique used by a trader or investor to examine and evaluate how Data Storage prices is reacting to, or reflecting on a current market direction and economic conditions. It can be used to make informed decisions about market timing, and when buying or selling Data shares will generate the highest return on investment. We also built our stock analysis module to help investors to gain an insight into the world economy as a whole, the stock market, thematic ideas. a specific sector, or an individual Stock such as Data Storage. By using and applying Data Stock analysis, traders can create a robust methodology for identifying Data entry and exit points for their positions.

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.