Data Storage Corp Stock EBITDA
| DTST Stock | USD 4.82 0.02 0.41% |
Data Storage Corp fundamentals help investors to digest information that contributes to Data Storage's financial success or failures. It also enables traders to predict the movement of Data Stock. The fundamental analysis module provides a way to measure Data Storage's intrinsic value by examining its available economic and financial indicators, including the cash flow records, the balance sheet account changes, the income statement patterns, and various microeconomic indicators and financial ratios related to Data Storage stock.
| Last Reported | Projected for Next Year | ||
| EBITDA | 1.3 M | 1.3 M |
Data | EBITDA |
Data Storage Corp Company EBITDA Analysis
Data Storage's EBITDA stands for earnings before interest, taxes, depreciation, and amortization. It is a measure of a company operating cash flow based on data from the company income statement and is a very good way to compare companies within industries or across different sectors. However, unlike Operating Cash Flow, EBITDA does not include the effects of changes in working capital.
Current Data Storage EBITDA | 1.27 M |
Most of Data Storage's fundamental indicators, such as EBITDA, are part of a valuation analysis module that helps investors searching for stocks that are currently trading at higher or lower prices than their real value. If the real value is higher than the market price, Data Storage Corp is considered to be undervalued, and we provide a buy recommendation. Otherwise, we render a sell signal.
Data EBITDA Driver Correlations
Understanding the fundamental principles of building solid financial models for Data Storage is extremely important. It helps to project a fair market value of Data Stock properly, considering its historical fundamentals such as EBITDA. Since Data Storage's main accounts across its financial reports are all linked and dependent on each other, it is essential to analyze all possible correlations between related accounts. However, instead of reviewing all of Data Storage's historical financial statements, investors can examine the correlated drivers to determine its overall health. This can be effectively done using a conventional correlation matrix of Data Storage's interrelated accounts and indicators.
Click cells to compare fundamentals
In a nutshell, EBITDA is calculated by adding back each of the excluded items to the post-tax profit, and can be used to compare companies with very different capital structures.
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Data Ebitda
Ebitda |
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According to the company disclosure, Data Storage Corp reported earnings before interest,tax, depreciation and amortization of 1.27 M. This is 99.86% lower than that of the Software sector and 99.91% lower than that of the Information Technology industry. The ebitda for all United States stocks is 99.97% higher than that of the company.
Data EBITDA Peer Comparison
Stock peer comparison is one of the most widely used and accepted methods of equity analyses. It analyses Data Storage's direct or indirect competition against its EBITDA to detect undervalued stocks with similar characteristics or determine the stocks which would be a good addition to a portfolio. Peer analysis of Data Storage could also be used in its relative valuation, which is a method of valuing Data Storage by comparing valuation metrics of similar companies.Data Storage is currently under evaluation in ebitda category among related companies.
Data Storage Current Valuation Drivers
We derive many important indicators used in calculating different scores of Data Storage from analyzing Data Storage's financial statements. These drivers represent accounts that assess Data Storage's ability to generate profits relative to its revenue, operating costs, and shareholders' equity. Below are some of Data Storage's important valuation drivers and their relationship over time.
| 2019 | 2020 | 2021 | 2022 | 2023 | 2024 (projected) | ||
| Market Cap | 384.5K | 449.8K | 15.5M | 10.0M | 19.7M | 20.7M | |
| Enterprise Value | 3.4M | 2.8M | 5.4M | 9.4M | 18.9M | 19.8M |
Data Storage Institutional Holders
Institutional Holdings refers to the ownership stake in Data Storage that is held by large financial organizations, pension funds or endowments. Institutions may purchase large blocks of Data Storage's outstanding shares and can exert considerable influence upon its management. Institutional holders may also work to push the share price higher once they own the stock. Extensive social media coverage, TV shows, articles in high-profile magazines, and presentations at investor conferences help move the stock higher, increasing Data Storage's value.| Shares | Jpmorgan Chase & Co | 2023-12-31 | 7.0 | Bank Of America Corp | 2023-12-31 | 4.0 | M&t Bank Corp | 2023-12-31 | 0.0 | Bard Associates Inc | 2023-12-31 | 318.2 K | Vanguard Group Inc | 2023-12-31 | 109.8 K | Renaissance Technologies Corp | 2023-12-31 | 84.5 K | Geode Capital Management, Llc | 2023-12-31 | 52.8 K | Susquehanna International Group, Llp | 2023-12-31 | 11.4 K | Perritt Capital Management Inc. | 2023-12-31 | 8.4 K | Blackrock Inc | 2023-12-31 | 7.9 K | Tower Research Capital Llc | 2023-12-31 | 3.3 K |
Data Fundamentals
| Return On Equity | 0.0155 | ||||
| Return On Asset | -0.0044 | ||||
| Profit Margin | 0.02 % | ||||
| Operating Margin | (0.04) % | ||||
| Current Valuation | 21.11 M | ||||
| Shares Outstanding | 6.92 M | ||||
| Shares Owned By Insiders | 41.80 % | ||||
| Shares Owned By Institutions | 9.21 % | ||||
| Number Of Shares Shorted | 406.61 K | ||||
| Price To Book | 1.91 X | ||||
| Price To Sales | 1.53 X | ||||
| Revenue | 24.96 M | ||||
| Gross Profit | 6.42 M | ||||
| EBITDA | 1.27 M | ||||
| Net Income | 381.57 K | ||||
| Cash And Equivalents | 11.21 M | ||||
| Cash Per Share | 1.64 X | ||||
| Total Debt | 601.47 K | ||||
| Debt To Equity | 0.10 % | ||||
| Current Ratio | 5.06 X | ||||
| Book Value Per Share | 2.91 X | ||||
| Cash Flow From Operations | 3.87 M | ||||
| Short Ratio | 1.43 X | ||||
| Earnings Per Share | 0.05 X | ||||
| Target Price | 9.0 | ||||
| Number Of Employees | 51 | ||||
| Beta | 0.49 | ||||
| Market Capitalization | 33.49 M | ||||
| Total Asset | 23.3 M | ||||
| Retained Earnings | (19.51 M) | ||||
| Working Capital | 11.01 M | ||||
| Current Asset | 417.11 K | ||||
| Current Liabilities | 3.59 M | ||||
| Net Asset | 23.3 M |
About Data Storage Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze Data Storage Corp's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Data Storage using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Data Storage Corp based on its fundamental data. In general, a quantitative approach, as applied to this company, focuses on analyzing financial statements comparatively, whereas a qaualitative method uses data that is important to a company's growth but cannot be measured and presented in a numerical way.
Please read more on our fundamental analysis page.
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Data Storage in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Data Storage's short interest history, or implied volatility extrapolated from Data Storage options trading.
Pair Trading with Data Storage
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Data Storage position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Data Storage will appreciate offsetting losses from the drop in the long position's value.Moving together with Data Stock
| 0.87 | FI | Fiserv Inc Earnings Call This Week | PairCorr |
| 0.69 | IT | Gartner Financial Report 7th of May 2024 | PairCorr |
Moving against Data Stock
| 0.78 | DMRC | Digimarc | PairCorr |
| 0.72 | DXC | DXC Technology Financial Report 16th of May 2024 | PairCorr |
| 0.72 | GMM | Global Mofy Metaverse | PairCorr |
| 0.71 | G | Genpact Limited Sell-off Trend | PairCorr |
| 0.71 | UIS | Unisys Financial Report 7th of May 2024 | PairCorr |
The ability to find closely correlated positions to Data Storage could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Data Storage when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Data Storage - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Data Storage Corp to buy it.
The correlation of Data Storage is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Data Storage moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Data Storage Corp moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Data Storage can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Check out Data Storage Piotroski F Score and Data Storage Altman Z Score analysis. For more information on how to buy Data Stock please use our How to Invest in Data Storage guide.You can also try the Portfolio Comparator module to compare the composition, asset allocations and performance of any two portfolios in your account.
Complementary 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.
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Is Data Storage's industry expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Data Storage. If investors know Data will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Data Storage listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth (0.63) | Earnings Share 0.05 | Revenue Per Share 3.648 | Quarterly Revenue Growth 0.037 | Return On Assets (0) |
The market value of Data Storage Corp is measured differently than its book value, which is the value of Data that is recorded on the company's balance sheet. Investors also form their own opinion of Data Storage's value that differs from its market value or its book value, called intrinsic value, which is Data Storage's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Data Storage's market value can be influenced by many factors that don't directly affect Data Storage's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Data Storage's value and its price as these two are different measures arrived at by different means. Investors typically determine if Data Storage is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Data Storage's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.