Hyperscale Data, Stock Total Debt
| GPUS-PD Stock | 23.59 0.09 0.38% |
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 |
Hyperscale Data, Company Total Debt Analysis
Hyperscale Data,'s Total Debt refers to the amount of long term interest-bearing liabilities that a company carries on its balance sheet. That may include bonds sold to the public, notes written to banks or capital leases. Typically, debt can help a company magnify its earnings, but the burden of interest and principal payments will eventually prevent the firm from borrow excessively.
In most industries, total debt may also include the current portion of long-term debt. Since debt terms vary widely from one company to another, simply comparing outstanding debt obligations between different companies may not be adequate. It is usually meant to compare total debt amounts between companies that operate within the same sector.
| Competition |
Based on the latest financial disclosure, Hyperscale Data, has a Total Debt of 0.0. This is 100.0% lower than that of the Industrials sector and 100.0% lower than that of the Aerospace & Defense industry. The total debt for all United States stocks is 100.0% higher than that of the company.
Hyperscale Total Debt 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 Total Debt 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 total debt 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 | 1.09 B | ||||
| Revenue | 154.19 M | ||||
| EBITDA | (38.33 M) | ||||
| Book Value Per Share | 0.74 X | ||||
| Number Of Employees | 587 | ||||
| Beta | 3.46 |
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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Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.When determining whether Hyperscale Data, is a strong investment it is important to analyze Hyperscale Data,'s competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact Hyperscale Data,'s future performance. For an informed investment choice regarding Hyperscale Stock, refer to the following important reports:Check out Hyperscale Data, Piotroski F Score and Hyperscale Data, Altman Z Score analysis. For information on how to trade Hyperscale Stock refer to our How to Trade Hyperscale Stock guide.You can also try the Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.