Data Storage Stock Probability Of Bankruptcy
| DTSTW Stock | USD 0.39 0.07 15.22% |
Data | Probability Of Bankruptcy |
Data Storage Company odds of financial turmoil Analysis
Data Storage's Probability Of Bankruptcy is a relative measure of the likelihood of financial distress. For stocks, the Probability Of Bankruptcy is the normalized value of Z-Score. For funds and ETFs, it is derived from a multi-factor model developed by Macroaxis. The score is used to predict the probability of a firm or a fund experiencing financial distress within the next 24 months. Unlike Z-Score, Probability Of Bankruptcy is the value between 0 and 100, indicating the firm's actual probability it will be financially distressed in the next 2 fiscal years.
More About Probability Of Bankruptcy | All Equity Analysis
Probability Of Bankruptcy | = | Normalized | | Z-Score |
Current Data Storage Probability Of Bankruptcy | Less than 22% |
Most of Data Storage's fundamental indicators, such as Probability Of Bankruptcy, 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 is considered to be undervalued, and we provide a buy recommendation. Otherwise, we render a sell signal.
Our calculation of Data Storage probability of bankruptcy is based on Altman Z-Score and Piotroski F-Score, but not limited to these measures. To be applied to a broader range of industries and markets, we use several other techniques to enhance the accuracy of predicting Data Storage odds of financial distress. These include financial statement analysis, different types of price predictions, earning estimates, analysis consensus, and basic intrinsic valuation. Please use the options below to get a better understanding of different measures that drive the calculation of Data Storage financial health.
Is Internet Services & Infrastructure space 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 5.733 | Revenue Per Share 3.682 | Quarterly Revenue Growth (0.17) | Return On Assets (0.01) | Return On Equity 0.0079 |
The market value of Data Storage 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.
Data Probability Of Bankruptcy 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 Probability Of Bankruptcy. 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
The Probability of Bankruptcy SHOULD NOT be confused with the actual chance of a company to file for chapter 7, 11, 12, or 13 bankruptcy protection. Macroaxis simply defines Financial Distress as an operational condition where a company is having difficulty meeting its current financial obligations towards its creditors or delivering on the expectations of its investors. Macroaxis derives these conditions daily from both public financial statements as well as analysis of stock prices reacting to market conditions or economic downturns, including short-term and long-term historical volatility. Other factors taken into account include analysis of liquidity, revenue patterns, R&D expenses, and commitments, as well as public headlines and social sentiment.
| Competition |
Based on the latest financial disclosure, Data Storage has a Probability Of Bankruptcy of 22.0%. This is much higher than that of the IT Services sector and significantly higher than that of the Information Technology industry. The probability of bankruptcy for all United States stocks is notably lower than that of the firm.
Data Probability Of Bankruptcy 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 Probability Of Bankruptcy 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 probability of bankruptcy category among its peers.
Data Storage Main Bankruptcy Drivers
| 2019 | 2020 | 2021 | 2022 | 2023 | 2024 (projected) | ||
| Return On Assets | (0.0147) | (0.042) | 0.007753 | (0.18) | 0.0164 | 0.0172 | |
| Asset Turnover | 1.16 | 1.2 | 0.56 | 0.99 | 1.07 | 0.78 | |
| Net Debt | 3.0M | 2.4M | (10.1M) | (636.3K) | (827.3K) | (785.9K) | |
| Total Current Liabilities | 3.7M | 4.4M | 3.0M | 4.5M | 3.5M | 3.2M | |
| Non Current Liabilities Total | 1.9M | 1.5M | 748.4K | 609.3K | 37.9K | 36.0K | |
| Total Assets | 7.3M | 7.8M | 26.3M | 24.1M | 23.3M | 24.5M | |
| Total Current Assets | 1.1M | 1.7M | 15.1M | 15.4M | 14.5M | 15.2M | |
| Total Cash From Operating Activities | 799.7K | 1.1M | (360.7K) | 663.8K | 3.9M | 4.1M |
Data Fundamentals
| Return On Equity | 0.0079 | ||||
| Return On Asset | -0.0109 | ||||
| Profit Margin | 0.01 % | ||||
| Operating Margin | (0.08) % | ||||
| Number Of Shares Shorted | 6.2 K | ||||
| Revenue | 24.96 M | ||||
| EBITDA | 1.82 M | ||||
| Net Income | 381.57 K | ||||
| Total Debt | 601.47 K | ||||
| Book Value Per Share | 2.91 X | ||||
| Cash Flow From Operations | 3.87 M | ||||
| Number Of Employees | 51 | ||||
| Beta | 0.72 | ||||
| Market Capitalization | 24.51 M | ||||
| Total Asset | 23.3 M | ||||
| Retained Earnings | (19.51 M) | ||||
| Working Capital | 11.01 M | ||||
| Net Asset | 23.3 M |
About Data Storage Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze Data Storage'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 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.
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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.