Data Storage Corp Stock Z Score
| DTST Stock | USD 4.82 0.02 0.41% |
Data | Z Score |
Data Storage Corp Company Z Score Analysis
Data Storage's Z-Score is a simple linear, multi-factor model that measures the financial health and economic stability of a company. The score is used to predict the probability of a firm going into bankruptcy within next 24 months or two fiscal years from the day stated on the accounting statements used to calculate it. The model uses five fundamental business ratios that are weighted according to algorithm of Professor Edward Altman who developed it in the late 1960s at New York University..
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Data Z Score 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 Z Score. 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
To calculate a Z-Score, one would need to know a company's current working capital, its total assets and liabilities, and the amount of its latest earnings as well as earnings before interest and tax. Z-Scores can be used to compare the odds of bankruptcy of companies in a similar line of business or firms operating in the same industry. Companies with Z-Scores above 3.1 are generally considered to be stable and healthy with a low probability of bankruptcy. Scores that fall between 1.8 and 3.1 lie in a so-called 'grey area,' with scores of less than 1 indicating the highest probability of distress. Z Score is a used widely measure by financial auditors, accountants, money managers, loan processors, wealth advisers, and day traders. In the last 25 years, many financial models that utilize z-scores proved it to be successful as a predictor of corporate bankruptcy.
| Competition |
According to the company's disclosures, Data Storage Corp has a Z Score of 0.0. This is 100.0% lower than that of the Software sector and 100.0% lower than that of the Information Technology industry. The z score for all United States stocks is 100.0% higher than that of the company.
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
| 0.8 | VYX | NCR Voyix Symbol Change | PairCorr |
| 0.78 | DMRC | Digimarc | PairCorr |
| 0.77 | UIS | Unisys Financial Report 7th of May 2024 | PairCorr |
| 0.72 | DXC | DXC Technology Financial Report 16th of May 2024 | PairCorr |
| 0.72 | III | Information Services Financial Report 13th 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 Valuation 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 Money Flow Index module to determine momentum by analyzing Money Flow Index and other technical indicators.
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.