Data Storage Stock Revenue Per Share
| DTSTW Stock | USD 0.67 0.01 1.52% |
Data Storage 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 | ||
| Revenue Per Share | 3.65 | 5.54 |
Data | Revenue Per Share |
Data Storage Company Revenue Per Share Analysis
Data Storage's Revenue per Share is a ratio of total revenue earned per one share of common stock over a single fiscal year. It is calculated by dividing sales revenue earned over 12 months by the average number of outstanding shares. Revenue used in the calculation of this ratio is typically recorded when cash or cash equivalents are exchanged for services or goods.
Current Data Storage Revenue Per Share | 5.54 |
Most of Data Storage's fundamental indicators, such as Revenue Per Share, 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.
Data Revenue Per Share 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 Revenue Per Share. 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.
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Data Revenue Per Share Historical Pattern
Today, most investors in Data Storage Stock are looking for potential investment opportunities by analyzing not only static indicators but also various Data Storage's growth ratios. Consistent increases or drops in fundamental ratios usually indicate a possible pattern that can be successfully translated into profits. However, when comparing two companies, knowing each company's revenue per share growth rates may not be enough to decide which company is a better investment. That's why investors frequently use a static breakdown of Data Storage revenue per share as a starting point in their analysis.
Data Storage Revenue Per Share |
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Revenue per share does not take into account any of company expenses and is helpful only when comparing relative sale figures within a given industry.
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Data Common Stock Shares Outstanding
Common Stock Shares Outstanding |
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Data Revenue Per Share 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 Revenue Per Share 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 revenue per share category among its peers.
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 Fundamentals
| Return On Equity | 0.0079 | ||||
| Return On Asset | -0.0109 | ||||
| Profit Margin | 0.01 % | ||||
| Operating Margin | (0.08) % | ||||
| Number Of Shares Shorted | 1.24 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.