Hyperscale Data, Stock Book Value Per Share
| GPUS-PD Stock | 10.30 1.20 10.43% |
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 Book Value Per Share Analysis
Hyperscale Data,'s Book Value per Share (B/S) can be calculated by subtracting liabilities from assets, and then dividing it by the total number of currently outstanding shares. It indicates the level of safety associated with each common share after removing the effects of liabilities. In other words, a shareholder can use this ratio to see how much he or she can sell the stake in the company in the event of a liquidation.
More About Book Value Per Share | All Equity Analysis
Book Value per Share | = | Common EquityAverage Shares |
Current Hyperscale Data, Book Value Per Share | 0.74 X |
Most of Hyperscale Data,'s fundamental indicators, such as Book Value 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, Hyperscale Data, is considered to be undervalued, and we provide a buy recommendation. Otherwise, we render a sell signal.
The naive approach to look at Book Value per Share is to compare it to current stock price. If Book Value per Share is higher than the currently traded stock price, the company can be considered undervalued. However, investors must be aware that conventional calculation of Book Value does not include intangible assets such as goodwill, intellectual property, trademarks or brands and may not be an appropriate measure for many firms.
| Competition |
In accordance with the recently published financial statements, the book value per share of Hyperscale Data, is about 0.745 times. This is 100.0% lower than that of the Industrials sector and 97.49% lower than that of the Aerospace & Defense industry. The book value per share for all United States stocks is 99.96% higher than that of the company.
Hyperscale Book Value Per Share 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 Book Value 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 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 book value per share 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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.