Predictive Technology Company Top Management

PRED Stock  USD 0.0001  0.00  0.00%   
Predictive Technology employs about 62 people. The company is managed by 4 executives with a total tenure of roughly 14 years, averaging almost 3.0 years of service per executive, having 15.5 employees per reported executive. Evaluation of Predictive Technology's management performance can provide insight into the firm performance.
Bradley Robinson  CEO
President CEO, Director
Michael Dey  CEO
CEO Director
  
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Predictive Technology Management Team Effectiveness

The company has return on total asset (ROA) of (0.1793) % which means that it has lost $0.1793 on every $100 spent on assets. This is way below average. Similarly, it shows a return on stockholder's equity (ROE) of (1.1126) %, meaning that it created substantial loss on money invested by shareholders. Predictive Technology's management efficiency ratios could be used to measure how well Predictive Technology manages its routine affairs as well as how well it operates its assets and liabilities.

Predictive Technology Workforce Comparison

Predictive Technology Group is considered to be number one stock in number of employees category among its peers. The total workforce of Biotechnology industry is at this time estimated at about 34,936. Predictive Technology adds roughly 62.0 in number of employees claiming only tiny portion of stocks in Biotechnology industry.

Predictive Technology Benchmark Summation

Operator
The output start index for this execution was zero with a total number of output elements of sixty-one. Predictive Technology Price Series Summation is a cross summation of Predictive Technology price series and its benchmark/peer.

Predictive Technology Notable Stakeholders

A Predictive Technology stakeholder refers to an individual interested in an outcome of the business. Different stakeholders have different interests, and companies such as Predictive Technology often face trade-offs trying to please all of them. Predictive Technology's stakeholders can have a positive or negative influence on the entity's direction, and there are a lot of executives involved in getting Predictive Technology'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.
Bradley RobinsonPresident CEO, DirectorProfile
Michael DeyCEO DirectorProfile
Simon CPAConsultantProfile
BS MBAChief OfficerProfile

About Predictive Technology Management Performance

The success or failure of an entity such as Predictive Technology often depends on how effective the management is. Predictive Technology 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 Predictive 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 Predictive 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.
Predictive Technology Group, Inc., together with its subsidiaries, develops and commercializes discoveries and technologies involved in novel molecular diagnostic, therapeutic, and human cellular and tissue-based products . Predictive Technology Group, Inc. was founded in 2005 and is headquartered in Salt Lake City, Utah. Predictive Technology operates under Biotechnology classification in the United States and is traded on OTC Exchange. It employs 62 people.
Please note, the presentation of Predictive Technology'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, Predictive Technology's management is honest, while the outside auditors are strict and uncompromising. Please utilize our Beneish M Score to check the likelihood of Predictive Technology's management manipulating its earnings.

Predictive Technology Workforce Analysis

Traditionally, organizations such as Predictive Technology 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 Predictive Technology within its industry.

Predictive Technology Manpower Efficiency

Return on Predictive Technology Manpower

Revenue Per Employee394.2K
Revenue Per Executive6.1M
Net Loss Per Employee1.4M
Net Loss Per Executive21.4M

Complementary Tools for Predictive Pink Sheet analysis

When running Predictive Technology's price analysis, check to measure Predictive Technology'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 Predictive Technology is operating at the current time. Most of Predictive Technology's value examination focuses on studying past and present price action to predict the probability of Predictive Technology's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Predictive Technology's price. Additionally, you may evaluate how the addition of Predictive Technology to your portfolios can decrease your overall portfolio volatility.
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