Hyperscale Data, Company Top Management
GPUS-PD Stock | 9.25 0.77 7.68% |
Hyperscale Data, employs about 587 people. The company is managed by 13 executives with a total tenure of roughly 1370 years, averaging almost 105.0 years of service per executive, having 45.15 employees per reported executive. Evaluation of Hyperscale Data,'s management performance can provide insight into the firm performance.
Hyperscale |
Hyperscale Data, Workforce Comparison
Hyperscale Data, is one of the top stocks in number of employees category among its peers. The total workforce of Aerospace & Defense industry is currently estimated at about 89,773. Hyperscale Data, maintains roughly 587 in number of employees contributing less than 1% to stocks in Aerospace & Defense industry.
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. Hyperscale Data, Benchmark Summation
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The output start index for this execution was zero with a total number of output elements of sixty-one. Hyperscale Data, Price Series Summation is a cross summation of Hyperscale Data, price series and its benchmark/peer.
Hyperscale Data, Notable Stakeholders
A Hyperscale Data, stakeholder refers to an individual interested in an outcome of the business. Different stakeholders have different interests, and companies such as Hyperscale Data, often face trade-offs trying to please all of them. Hyperscale Data,'s stakeholders can have a positive or negative influence on the entity's direction, and there are a lot of executives involved in getting Hyperscale Data,'s stock to the level that pleases all shareholders. Keeping track of the stakeholders is a great way to stay on top of things affecting its ongoing price.
Milton III | Founder Chairman | Profile | |
William Horne | CEO Chairman | Profile | |
Amos Kohn | President TurnOnGreen | Profile | |
Henry Esq | General President | Profile | |
Douglas Gintz | CTO Implementation | Profile | |
Joseph Spaziano | VP Officer | Profile | |
Kenneth CPA | Chief Officer | Profile | |
Christopher Wu | Executive Investments | Profile | |
Russ Woodmansee | Chief Group | Profile | |
Jonathan Read | Chief Worldwide | Profile | |
Jean Ho | Chief Officer | Profile | |
Timothy Long | Chief Worldwide | Profile | |
David Katzoff | Senior Finance | Profile |
About Hyperscale Data, Management Performance
The success or failure of an entity such as Hyperscale Data, often depends on how effective the management is. Hyperscale Data, management team is responsible for propelling the future growth in the right direction and administering and controlling the business activities and accounting for the results. Ineffective management usually contributes to failure in the company's future performance for all stakeholders equally, but most importantly, for investors. So it is important to measure the effectiveness of Hyperscale management before purchasing its stock. In many ways, it's all about finding the answer to one important question - Are they doing the right thing right now? How would we assess whether the Hyperscale management is utilizing all available resources in the best possible way? Also, how well is the company doing relative to others in its sector and the market as a whole? The answer can be found by analyzing a few important fundamental indicators such as return on assets and return on equity.
Hyperscale Data, is entity of United States. It is traded as Stock on NYSE ARCA exchange.
Please note, the presentation of Hyperscale Data,'s financial position, as portrayed in its financial statements, is often influenced by management's estimates, judgments, and sometimes even manipulations. In the best case, Hyperscale Data,'s management is honest, while the outside auditors are strict and uncompromising. Please utilize our Beneish M Score to check the likelihood of Hyperscale Data,'s management manipulating its earnings.
Hyperscale Data, Workforce Analysis
Traditionally, organizations such as Hyperscale Data, use manpower efficiency calculations for various incentive schemes, employee appraisal, or as an initiative to improve the processes. However, it can also be used by investors to make long-term investment decisions. The trends in the profit per employee or revenue per employee are measured by net income or revenue divided by the current number of full-time employees over a given time interval. Because workforce needs differ across sectors, these ratios could be used to compare Hyperscale Data, within its industry.Hyperscale Data, Manpower Efficiency
Return on Hyperscale Data, Manpower
Revenue Per Employee | 262.7K | |
Revenue Per Executive | 11.9M |
Complementary 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.
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