Hyperscale Data, Stock Analysis
| GPUS Stock | 6.61 0.25 3.93% |
Hyperscale Data, is overvalued with Real Value of 5.72 and Hype Value of 6.53. The main objective of Hyperscale Data, stock analysis is to determine its intrinsic value, which is an estimate of what Hyperscale Data, is worth, separate from its market price. There are two main types of Hyperscale Data,'s stock analysis: fundamental analysis and technical analysis.
The Hyperscale Data, stock is traded in the USA on AMEX Exchange, with the market opening at 09:30:00 and closing at 16:00:00 every Mon,Tue,Wed,Thu,Fri except for officially observed holidays in the USA. Hyperscale Data, is usually not traded on Memorial Day, Juneteenth Holiday, Independence Day, Labour Day, Thanksgiving Day, Christmas Day, New Year 's Day, Dr . Martin Luther King Jr 's Birthday, Washington 's Birthday, Good Friday. Hyperscale Stock trading window is adjusted to America/New York timezone.
Hyperscale |
Hyperscale Stock Analysis Notes
The company has price-to-book (P/B) ratio of 0.31. Some equities with similar Price to Book (P/B) outperform the market in the long run. Hyperscale Data, recorded earning per share (EPS) of 1981.73. The entity last dividend was issued on the 6th of August 2019. The firm had 1024:1000 split on the 12th of April 2024. To learn more about Hyperscale Data, call William Horne at 949 444 5464 or check out https://ault.com.Hyperscale Data, Quarterly Total Revenue |
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Hyperscale Data, Investment Alerts
| Hyperscale Data, generated a negative expected return over the last 90 days | |
| Hyperscale Data, has high historical volatility and very poor performance | |
| Hyperscale Data, has a very high chance of going through financial distress in the upcoming years | |
| Hyperscale Data, was previously known as Ault Alliance and was traded on NYSE MKT Exchange under the symbol AULT. | |
| The company reported the previous year's revenue of 156.44 M. Net Loss for the year was (231.03 M) with profit before overhead, payroll, taxes, and interest of 0. | |
| Hyperscale Data, generates negative cash flow from operations | |
| Latest headline from globenewswire.com: Hyperscale Data Declares Monthly Cash Dividend of 0.2708333 Per Share of 13.00 percent Series D Cumulative Redeemable Perpetual Preferred Stock |
Hyperscale Largest EPS Surprises
Earnings surprises can significantly impact Hyperscale Data,'s stock price both in the short term and over time. Negative earnings surprises usually result in a price decline. However, it has been seen that positive earnings surprises lead to an immediate rise in a stock's price and a gradual increase over time. This is why we often hear news about some companies beating earning projections. Financial analysts spend a large amount of time predicting earnings per share (EPS) along with other important future indicators. Many analysts use forecasting models, management guidance, and additional fundamental information to derive an EPS estimate.
| Reported | Fiscal Date | Estimated EPS | Reported EPS | Surprise | |||
|---|---|---|---|---|---|---|---|
2022-05-24 | 2022-03-31 | -0.06 | -0.02 | 0.04 | 66 | ||
2022-08-23 | 2022-06-30 | -0.01 | -0.08 | -0.07 | 700 | ||
2021-12-31 | 2021-12-31 | -0.06 | -0.38 | -0.32 | 533 |
Hyperscale Market Capitalization
The company currently falls under 'Nano-Cap' category with a current market capitalization of 8.36 M.Hyperscale Profitablity
The company has Profit Margin (PM) of (0.99) %, which may suggest that it does not properly executes on its current pricing strategies or is unable to control all of the operational costs. This is way below average. Similarly, it shows Operating Margin (OM) of (0.67) %, which suggests for every $100 dollars of sales, it generated a net operating loss of $0.67.Management Efficiency
Hyperscale Data, has return on total asset (ROA) of (0.1214) % which means that it has lost $0.1214 on every $100 spent on assets. This is way below average. Similarly, it shows a return on stockholder's equity (ROE) of (2.0903) %, meaning that it created substantial loss on money invested by shareholders. Hyperscale Data,'s management efficiency ratios could be used to measure how well Hyperscale Data, manages its routine affairs as well as how well it operates its assets and liabilities. At this time, Hyperscale Data,'s Total Assets are comparatively stable compared to the past year. Non Current Assets Total is likely to gain to about 260.7 M in 2024, whereas Total Current Assets are likely to drop slightly above 131.7 M in 2024.Hyperscale Data, benefits from a management team that prioritizes both innovation and efficiency. We analyze these priorities to gauge the stock's future performance.
Operating Margin (0.67) | Profit Margin (0.99) | Beta 3.436 | Return On Assets (0.12) | Return On Equity (2.09) |
Technical Drivers
As of the 26th of November, Hyperscale Data, retains the Market Risk Adjusted Performance of (0.07), standard deviation of 4.53, and Risk Adjusted Performance of (0.02). Hyperscale Data, technical analysis makes it possible for you to employ historical prices and volume momentum with the intention to determine a pattern that calculates the direction of the firm's future prices. Please check out Hyperscale Data, information ratio and kurtosis to decide if Hyperscale Data, is priced fairly, providing market reflects its last-minute price of 6.61 per share. Given that Hyperscale Data, has information ratio of (0.07), we strongly advise you to confirm Hyperscale Data,'s regular market performance to make sure the company can sustain itself at a future point.Hyperscale Data, Price Movement Analysis
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Hyperscale Data, Insider Trading Activities
Some recent studies suggest that insider trading raises the cost of capital for securities issuers and decreases overall economic growth. Trading by specific Hyperscale Data, insiders, such as employees or executives, is commonly permitted as long as it does not rely on Hyperscale Data,'s material information that is not in the public domain. Local jurisdictions usually require such trading to be reported in order to monitor insider transactions. In many U.S. states, trading conducted by corporate officers, key employees, directors, or significant shareholders must be reported to the regulator or publicly disclosed, usually within a few business days of the trade. In these cases Hyperscale Data, insiders are required to file a Form 4 with the U.S. Securities and Exchange Commission (SEC) when buying or selling shares of their own companies.
Ault Milton C Iii few days ago Acquisition by Ault Milton C Iii of 3485 shares of Hyperscale Data, at 0.1621 subject to Rule 16b-3 | ||
Ault Milton C Iii over a month ago Acquisition by Ault Milton C Iii of 50000 shares of Hyperscale Data, at 0.2264 subject to Rule 16b-3 | ||
Ault Milton C Iii over two months ago Acquisition by Ault Milton C Iii of 22000 shares of Hyperscale Data, at 0.2234 subject to Rule 16b-3 | ||
Ault Milton C Iii over two months ago Acquisition by Ault Milton C Iii of 10000 shares of Hyperscale Data, at 0.2255 subject to Rule 16b-3 |
Hyperscale Data, Predictive Daily Indicators
Hyperscale Data, intraday indicators are useful technical analysis tools used by many experienced traders. Just like the conventional technical analysis, daily indicators help intraday investors to analyze the price movement with the timing of Hyperscale Data, stock daily movement. By combining multiple daily indicators into a single trading strategy, you can limit your risk while still earning strong returns on your managed positions.
Hyperscale Data, Forecast Models
Hyperscale Data,'s time-series forecasting models are one of many Hyperscale Data,'s stock analysis techniques aimed at predicting future share value based on previously observed values. Time-series forecasting models ae widely used for non-stationary data. Non-stationary data are called the data whose statistical properties e.g. the mean and standard deviation are not constant over time but instead, these metrics vary over time. These non-stationary Hyperscale Data,'s historical data is usually called time-series. Some empirical experimentation suggests that the statistical forecasting models outperform the models based exclusively on fundamental analysis to predict the direction of the market movement and maximize returns from investment trading.About Hyperscale Stock Analysis
Stock analysis is the technique used by a trader or investor to examine and evaluate how Hyperscale Data, prices is reacting to, or reflecting on a current market direction and economic conditions. It can be used to make informed decisions about market timing, and when buying or selling Hyperscale shares will generate the highest return on investment. We also built our stock analysis module to help investors to gain an insight into the world economy as a whole, the stock market, thematic ideas. a specific sector, or an individual Stock such as Hyperscale Data,. By using and applying Hyperscale Stock analysis, traders can create a robust methodology for identifying Hyperscale entry and exit points for their positions.
Hyperscale Data, is entity of United States. It is traded as Stock on AMEX exchange.
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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.