Hyperscale Data, Net Worth

Hyperscale Data, Net Worth Breakdown

  GPUS
The net worth of Hyperscale Data, is the difference between its total assets and liabilities. Hyperscale Data,'s net worth represents the value of the company's equity or ownership interest. In other words, it is the amount of money that would be left over if all of Hyperscale Data,'s assets were sold and all of its debts were paid off. Net worth is sometimes referred to as shareholder's equity or book value. Hyperscale Data,'s net worth can be used as a measure of its financial health and stability which can help investors to decide if Hyperscale Data, is a good investment. It is also essential in determining the company's creditworthiness and ability to secure financing before investing in Hyperscale Data, stock.

Hyperscale Data, Net Worth Analysis

Hyperscale Data,'s net worth analysis, or its valuation, is the process of determining the total value of the company. This involves assessing a range of factors, including Hyperscale Data,'s financial performance, assets, liabilities, and potential for growth. The ultimate goal is to provide a clear understanding of Hyperscale Data,'s overall worth, which can help investors make informed investment decisions. There are several methods that can be used to perform Hyperscale Data,'s net worth analysis. One common approach is to calculate Hyperscale Data,'s market capitalization.Another approach is to use the price-to-earnings ratio (P/E ratio), which compares Hyperscale Data,'s stock price to its earnings per share (EPS). Discounted cash flow (DCF) analysis is another popular method for assessing Hyperscale Data,'s net worth. This approach calculates the present value of Hyperscale Data,'s future cash flows, taking into account factors such as growth rate, profitability, and risk. By comparing the present value of Hyperscale Data,'s cash flows to its current stock price, investors can gain a better understanding of the company's overall value. Finally, investors may use comparable company analysis to evaluate Hyperscale Data,'s net worth. This involves comparing Hyperscale Data,'s financial metrics to similar companies in the same industry. By identifying companies with similar financial characteristics, investors can gain insight into Hyperscale Data,'s net worth relative to its peers.
To determine if Hyperscale Data, is a good investment, evaluating the company's potential for future growth is also very important. This may include expanding into new markets, launching new products or services, or improving operational efficiency. Companies with strong growth prospects can be more attractive investments. This aspect of the research should be conducted in the context of the overall market and industry in which the company operates and should include an analysis of growth potential, competitive landscape, and any regulatory or economic factors that could impact the business. Some of the essential points regarding Hyperscale Data,'s net worth research are outlined below:
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 gurufocus.com: Hyperscale Data Announces a Special Dividend of Series F Exchangeable Preferred Stock

Hyperscale Data, Quarterly Good Will

5.92 Million

Follow Hyperscale Data,'s market capitalization trends

The company currently falls under 'Nano-Cap' category with a current market capitalization of 8.36 M.

Project Hyperscale Data,'s 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.
When accessing Hyperscale Data,'s net worth, it's important to look at multiple sources and consider different scenarios. For example, gross profit margin measures Hyperscale Data,'s profitability after accounting for the cost of goods sold, while net profit margin measures profitability after accounting for all expenses. Other important metrics include return on assets, return on equity, and free cash flow. By reviewing multiple sources and metrics, you can gain a complete picture of Hyperscale Data,'s profitability and make more informed investment decisions.
Please note, the imprecision that can be found in Hyperscale Data,'s accounting process means that the reasonable investor should take a skeptical approach toward the financial statement analysis of Hyperscale Data,. Check Hyperscale Data,'s Beneish M Score to see the likelihood of Hyperscale Data,'s management manipulating its earnings.

Evaluate Hyperscale Data,'s 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.
Enterprise Value Revenue
0.8518
Revenue
154.2 M
Quarterly Revenue Growth
(0.40)
Revenue Per Share
11.986
Return On Equity
(2.09)
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.
Hyperscale Data, time-series forecasting models is one of many Hyperscale Data,'s stock analysis techniques aimed to predict 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.

Hyperscale Data, Earnings per Share Projection vs Actual

Hyperscale Data, Corporate Management

Joseph SpazianoVP OfficerProfile
Christopher WuExecutive InvestmentsProfile
Kenneth CPAChief OfficerProfile
Russ WoodmanseeChief GroupProfile
Jonathan ReadChief WorldwideProfile

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.