Hyperscale Data, Stock EBITDA
| GPUS Stock | 6.36 0.54 9.28% |
Hyperscale Data, fundamentals help investors to digest information that contributes to Hyperscale Data,'s financial success or failures. It also enables traders to predict the movement of Hyperscale Stock. The fundamental analysis module provides a way to measure Hyperscale Data,'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 Hyperscale Data, stock.
Hyperscale | EBITDA |
Hyperscale Data, Company EBITDA Analysis
Hyperscale Data,'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 Hyperscale Data, EBITDA | (38.33 M) |
Most of Hyperscale Data,'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, Hyperscale Data, is considered to be undervalued, and we provide a buy recommendation. Otherwise, we render a sell signal.
Hyperscale EBITDA Driver Correlations
Understanding the fundamental principles of building solid financial models for Hyperscale Data, is extremely important. It helps to project a fair market value of Hyperscale Stock properly, considering its historical fundamentals such as EBITDA. Since Hyperscale Data,'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 Hyperscale Data,'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 Hyperscale Data,'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.
| Competition |
According to the company disclosure, Hyperscale Data, reported earnings before interest,tax, depreciation and amortization of (38.33 Million). This is 106.58% lower than that of the Internet Software & Services (discontinued effective close of September 28, 2018) sector and 102.16% lower than that of the Information Technology industry. The ebitda for all United States stocks is 100.98% higher than that of the company.
Hyperscale EBITDA Peer Comparison
Stock peer comparison is one of the most widely used and accepted methods of equity analyses. It analyses Hyperscale Data,'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 Hyperscale Data, could also be used in its relative valuation, which is a method of valuing Hyperscale Data, by comparing valuation metrics of similar companies.Hyperscale Data, is currently under evaluation in ebitda category among its peers.
Hyperscale Fundamentals
| Return On Equity | -2.09 | ||||
| Return On Asset | -0.12 | ||||
| Profit Margin | (0.99) % | ||||
| Operating Margin | (0.67) % | ||||
| Current Valuation | 131.57 M | ||||
| Shares Outstanding | 38.85 M | ||||
| Shares Owned By Insiders | 0.10 % | ||||
| Shares Owned By Institutions | 1.81 % | ||||
| Number Of Shares Shorted | 1.25 M | ||||
| Price To Book | 0.31 X | ||||
| Price To Sales | 0.05 X | ||||
| Revenue | 156.44 M | ||||
| EBITDA | (38.33 M) | ||||
| Net Income | (231.03 M) | ||||
| Total Debt | 27 M | ||||
| Book Value Per Share | 0.74 X | ||||
| Cash Flow From Operations | (5.43 M) | ||||
| Short Ratio | 1.03 X | ||||
| Earnings Per Share | 1,982 X | ||||
| Number Of Employees | 587 | ||||
| Beta | 3.44 | ||||
| Market Capitalization | 8.36 M | ||||
| Total Asset | 299.19 M | ||||
| Retained Earnings | (567.47 M) | ||||
| Working Capital | (66.34 M) | ||||
| Net Asset | 299.19 M |
About Hyperscale Data, Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze Hyperscale Data,'s financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Hyperscale Data, using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Hyperscale Data, 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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Additional Tools for Hyperscale Stock Analysis
When running Hyperscale Data,'s price analysis, check to measure Hyperscale Data,'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 Hyperscale Data, is operating at the current time. Most of Hyperscale Data,'s value examination focuses on studying past and present price action to predict the probability of Hyperscale Data,'s future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Hyperscale Data,'s price. Additionally, you may evaluate how the addition of Hyperscale Data, to your portfolios can decrease your overall portfolio volatility.