Hyperscale Data, Stock Debt To Equity
| 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 | Debt To Equity |
Hyperscale Data, Company Debt To Equity Analysis
Hyperscale Data,'s Debt to Equity is calculated by dividing the Total Debt of a company by its Equity. If the debt exceeds equity of a company, then the creditors have more stakes in a firm than the stockholders. In other words, Debt to Equity ratio provides analysts with insights about composition of both equity and debt, and its influence on the valuation of the company.
Hyperscale Debt To Equity 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 Debt To Equity. 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.
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High Debt to Equity ratio typically indicates that a firm has been borrowing aggressively to finance its growth and as a result may experience a burden of additional interest expense. This may reduce earnings or future growth. On the other hand a small D/E ratio may indicate that a company is not taking enough advantage from financial leverage. Debt to Equity ratio measures how the company is leveraging borrowing against the capital invested by the owners.
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Hyperscale Total Stockholder Equity
Total Stockholder Equity |
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According to the company disclosure, Hyperscale Data, has a Debt To Equity of 0.0%. This is 100.0% lower than that of the Internet Software & Services (discontinued effective close of September 28, 2018) sector and 100.0% lower than that of the Information Technology industry. The debt to equity for all United States stocks is 100.0% higher than that of the company.
Hyperscale Debt To Equity 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 Debt To Equity 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 debt to equity 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.