Data Storage Corp Stock Analysis
DTST Stock | USD 3.90 0.06 1.52% |
Data Storage Corp is undervalued with Real Value of 4.8 and Target Price of 8.0. The main objective of Data Storage stock analysis is to determine its intrinsic value, which is an estimate of what Data Storage Corp is worth, separate from its market price. There are two main types of Data Storage's stock analysis: fundamental analysis and technical analysis.
The Data Storage stock is traded in the USA on NASDAQ Exchange, with the market opening at 09:30:00 and closing at 16:00:00 every Mon,Tue,Wed,Thu,Fri except for officially observed holidays in the USA. Data Storage is usually not traded on Juneteenth Holiday, Independence Day, Labour Day, Thanksgiving Day, Christmas Day, New Year 's Day, Dr . Martin Luther King Jr 's Birthday, Washington 's Birthday, Good Friday, Memorial Day. Data Stock trading window is adjusted to America/New York timezone.
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Data Stock Analysis Notes
About 41.0% of the company shares are held by company insiders. The company has price-to-book (P/B) ratio of 1.31. Some equities with similar Price to Book (P/B) outperform the market in the long run. Data Storage Corp had not issued any dividends in recent years. The entity had 1:40 split on the 14th of May 2021. Data Storage Corporation provides multi-cloud information technology solutions primarily in the United States. Data Storage Corporation is headquartered in Melville, New York. DATA STORAGE operates under Information Technology Services classification in the United States and is traded on NASDAQ Exchange. It employs 60 people. To learn more about Data Storage Corp call Charles Piluso at 212 564 4922 or check out https://www.dtst.com.Data Storage Quarterly Total Revenue |
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Data Storage Corp Investment Alerts
Data Storage Corp had very high historical volatility over the last 90 days | |
Data Storage Corp is unlikely to experience financial distress in the next 2 years | |
About 41.0% of the company shares are held by company insiders | |
Latest headline from finance.yahoo.com: Data Center General Construction Market to Grow by USD 19.95 Billion as AI Redefines Market Landscape, Investment Boosts Growth - Technavio |
Data Storage Corp Upcoming and Recent Events
29th of March 2024 Upcoming Quarterly Report | View | |
31st of December 2023 Next Fiscal Quarter End | View |
Data Largest EPS Surprises
Earnings surprises can significantly impact Data Storage's stock price both in the short term and over time. Negative earnings surprises usually result in a price decline. However, it has been seen that positive earnings surprises lead to an immediate rise in a stock's price and a gradual increase over time. This is why we often hear news about some companies beating earning projections. Financial analysts spend a large amount of time predicting earnings per share (EPS) along with other important future indicators. Many analysts use forecasting models, management guidance, and additional fundamental information to derive an EPS estimate.
Reported | Fiscal Date | Estimated EPS | Reported EPS | Surprise | |||
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2023-11-14 | 2023-09-30 | 0.02 | 0.0247 | 0.0047 | 23 | ||
2023-08-14 | 2023-06-30 | 0.02 | 0.03 | 0.01 | 50 | ||
2023-05-15 | 2023-03-31 | 0.02 | 0.01 | -0.01 | 50 |
Data Storage Environmental, Social, and Governance (ESG) Scores
Data Storage's ESG score is a quantitative measure that evaluates Data Storage's performance and commitment regarding environmental, social, and governance (ESG) factors. These scores are becoming increasingly crucial in investment decision-making processes, providing insights into non-financial aspects of Data Storage's operations that may have significant financial implications and affect Data Storage's stock price as well as guide investors towards more socially responsible investments.
Data Stock Institutional Investors
Institutional investors include commercial and private banks, credit unions, insurance companies, pension funds, hedge funds, endowments, and mutual funds. Operating companies that invest excess capital in these types of assets may also be included in the term and may influence corporate governance by exercising voting rights in their investments.
Shares | State Street Corp | 2024-06-30 | 11.2 K | Raymond James Finl Svs Advisors, Inc. | 2024-09-30 | 10 K | Blackrock Inc | 2024-06-30 | 9.6 K | Ubs Group Ag | 2024-06-30 | 2.3 K | Tower Research Capital Llc | 2024-06-30 | 1.2 K | Fmr Inc | 2024-09-30 | 500 | Morgan Stanley - Brokerage Accounts | 2024-06-30 | 400 | Bank Of America Corp | 2024-06-30 | 35.0 | Acadian Asset Management Llc | 2024-06-30 | 0.0 | Bard Associates Inc | 2024-09-30 | 307.7 K | Vanguard Group Inc | 2024-09-30 | 163.5 K |
Data Market Capitalization
The company currently falls under 'Micro-Cap' category with a current market capitalization of 26.58 M.Data 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.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 |
Management Efficiency
Data Storage Corp 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 comparatively stable compared to the past year. Return On Assets is likely to gain to 0.02 in 2024, whereas Return On Capital Employed is likely to drop (0.01) in 2024. At this time, Data Storage's Liabilities And Stockholders Equity is comparatively stable compared to the past year. Non Current Liabilities Other is likely to gain to about 1.7 M in 2024, whereas Total Current Liabilities is likely to drop slightly above 3.2 M 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 |
Leadership at Data Storage emphasizes sustainable growth and financial prudence. Our analysis evaluates how these priorities impact the stock's performance in the market.
Operating Margin (0.08) | Profit Margin 0.0086 | Beta 0.719 | Return On Assets (0.01) | Return On Equity 0.0079 |
Technical Drivers
As of the 28th of November, Data Storage shows the Mean Deviation of 3.18, downside deviation of 5.91, and Coefficient Of Variation of 2199.26. Data Storage Corp 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.Data Storage Corp Price Movement Analysis
Incorrect Input. Please change your parameters or increase the time horizon required for running this function. The output start index for this execution was zero with a total number of output elements of zero. The Bollinger Bands is very popular indicator that was developed by John Bollinger. It consist of three lines. Data Storage middle band is a simple moving average of its typical price. The upper and lower bands are (N) standard deviations above and below the middle band. The bands widen and narrow when the volatility of the price is higher or lower, respectively. The upper and lower bands can also be interpreted as price targets for Data Storage Corp. When the price bounces off of the lower band and crosses the middle band, then the upper band becomes the price target.
Data Storage Corp Insider Trading Activities
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.
Data Storage Outstanding Bonds
Data Storage issues bonds to finance its operations. Corporate bonds make up one of the largest components of the U.S. bond market, which is considered the world's largest securities market. Data Storage Corp uses the proceeds from bond sales for a wide variety of purposes, including financing ongoing mergers and acquisitions, buying new equipment, investing in research and development, buying back their own stock, paying dividends to shareholders, and even refinancing existing debt. Most Data bonds can be classified according to their maturity, which is the date when Data Storage Corp has to pay back the principal to investors. Maturities can be short-term, medium-term, or long-term (more than ten years). Longer-term bonds usually offer higher interest rates but may entail additional risks.
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Data Storage Predictive Daily 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 Corporate Filings
8K | 14th of November 2024 Report filed with the SEC to announce major events that shareholders should know about | ViewVerify |
8K | 16th of September 2024 Report filed with the SEC to announce major events that shareholders should know about | ViewVerify |
8K | 14th of August 2024 Report filed with the SEC to announce major events that shareholders should know about | ViewVerify |
31st of July 2024 Other Reports | ViewVerify | |
30th of July 2024 Other Reports | ViewVerify | |
18th of July 2024 Other Reports | ViewVerify | |
F4 | 2nd of July 2024 The report filed by a party regarding the acquisition or disposition of a company's common stock, as well as derivative securities such as options, warrants, and convertible securities | ViewVerify |
1st of July 2024 Other Reports | ViewVerify |
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.About Data Stock Analysis
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.
Last Reported | Projected for Next Year | ||
Pretax Profit Margin | 0.01 | 0.01 | |
Operating Profit Margin | (0.01) | (0.01) | |
Net Profit Margin | 0.02 | 0.02 | |
Gross Profit Margin | 0.38 | 0.31 |
Current Data Analysis - Recommendations
We track the performance of the top 100 financial experts across various large and mid-size financial boutiques. Data analyst recommendations are determined by taking all analyst recommendations and averaging them as Strong Buy, Buy, Hold, Strong Sell or Sell. There is no one specific way to measure analysis performance other than comparing it to the past results via a very sophisticated attribution analysis. Data analyst consensus and target price projections should be used in combination with other traditional techniques such as stock price forecasting, technical analysis, earnings estimate, and various momentum models.
Target Price | Advice | # of Analysts | |
8.0 | Buy | 1 | Odds |
Most Data analysts issue ratings four times a year, at intervals of three months. Ratings are usually accompanied by a target price to helps potential investors understand Data stock's fair price compared to its market value. Analysts arrive at stock ratings after researching public financial statements of Data Storage Corp, talking to its executives and customers, or listening to Data conference calls.
Data Stock Analysis Indicators
Data Storage Corp stock analysis indicators help investors evaluate how Data Storage stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing and determine when trading Data Storage shares will generate the highest return on investment. By understating and applying Data Storage stock analysis, traders can identify Data Storage position entry and exit signals to maximize returns.
Begin Period Cash Flow | 2.3 M | |
Common Stock Shares Outstanding | 7.2 M | |
Total Stockholder Equity | 20 M | |
Quarterly Earnings Growth Y O Y | 5.733 | |
Property Plant And Equipment Net | 2.8 M | |
Cash And Short Term Investments | 12.7 M | |
Cash | 1.4 M | |
Accounts Payable | 2.6 M | |
Net Debt | -827.3 K | |
50 Day M A | 3.739 | |
Total Current Liabilities | 3.5 M | |
Other Operating Expenses | 25.1 M | |
Non Current Assets Total | 8.8 M | |
Non Currrent Assets Other | 48.4 K | |
Stock Based Compensation | 506.2 K |
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.