Data Storage Stock Cash Flow From Operations
| DTSTW Stock | USD 0.39 0.07 15.22% |
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.
Data | Cash Flow From Operations |
Data Storage Company Cash Flow From Operations Analysis
Data Storage's Operating Cash Flow reveals the quality of a company's reported earnings and is calculated by deducting company's income taxes from earnings before interest, taxes, and depreciation (EBITDA). In other words, Operating Cash Flow refers to the amount of cash a firm generates from the sales or products or from rendering services. Operating Cash Flow typically excludes costs associated with long-term investments or investment in marketable securities and is usually used by investors or analysts to check on the quality of a company's earnings.
Current Data Storage Cash Flow From Operations | 3.87 M |
Most of Data Storage's fundamental indicators, such as Cash Flow From Operations, 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 Cash Flow From Operations 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 Cash Flow From Operations. 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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Operating Cash Flow shows the difference between reported income and actual cash flows of the company. If a firm does not have enough cash or cash equivalents to cover its current liabilities, then both investors and management should be concerned about the company having enough liquid resources to meet current and long term debt obligations.
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In accordance with the recently published financial statements, Data Storage has 3.87 M in Cash Flow From Operations. This is much higher than that of the IT Services sector and significantly higher than that of the Information Technology industry. The cash flow from operations for all United States stocks is notably lower than that of the firm.
Data Cash Flow From Operations 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 Cash Flow From Operations 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 cash flow from operations 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 | 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.