Predictive Oncology Stock Analysis

Predictive Stock Analysis Notes

The book value of the company was at this time reported as 2.04. The company recorded a loss per share of 2.96. Predictive Oncology last dividend was issued on the 29th of October 2019. The entity had 1:20 split on the 24th of April 2023. Predictive Oncology Inc., a knowledge-driven company, focuses on developing personalized cancer therapies using artificial intelligence primarily in the United States. Predictive Oncology Inc. was incorporated in 2002 and is based in Eagan, Minnesota. Predictive Oncology operates under Medical Instruments Supplies classification in the United States and is traded on NASDAQ Exchange. It employs 30 people. To find out more about Predictive Oncology contact Raymond Vennare at (412) 432-1500 or learn more at https://www.predictive-oncology.com.

Predictive Oncology Investment Alerts

Predictive Oncology Upcoming and Recent Events

Predictive Largest EPS Surprises

View All Earnings Estimates

Predictive Stock Institutional Investors

Note, although Predictive Oncology's institutional investors appear to be way more sophisticated than retail investors, it remains unclear if professional active investment managers can reliably enhance risk-adjusted returns by an amount that exceeds fees and expenses.

Predictive Market Capitalization

The company currently falls under 'Nano-Cap' category with a current market capitalization of 5.37 M.

Predictive Profitablity

Management Efficiency

Predictive Oncology has return on total asset (ROA) of (0.558) % which means that it has lost $0.558 on every $100 spent on assets. This is way below average. Similarly, it shows a return on stockholder's equity (ROE) of (1.4936) %, meaning that it created substantial loss on money invested by shareholders. Predictive Oncology's management efficiency ratios could be used to measure how well Predictive Oncology manages its routine affairs as well as how well it operates its assets and liabilities. The current Return On Tangible Assets is estimated to decrease to -1.04. The current Return On Capital Employed is estimated to decrease to -1.4. As of now, Predictive Oncology's Non Currrent Assets Other are decreasing as compared to previous years. The Predictive Oncology's current Net Tangible Assets is estimated to increase to about 26 M, while Total Assets are projected to decrease to under 9.5 M.

Technical Drivers

As of the 1st of December, Predictive Oncology holds the Coefficient Of Variation of (11,602), variance of 33.24, and Risk Adjusted Performance of 0.0021. Compared to fundamental indicators, the technical analysis model allows you to check existing technical drivers of Predictive Oncology, as well as the relationship between them.

Predictive Oncology Price Movement Analysis

Predictive Oncology Insider Trading Activities

Predictive Oncology Outstanding Bonds

Predictive Oncology Predictive Daily Indicators

Predictive Oncology Forecast Models

Predictive Oncology's time-series forecasting models are one of many Predictive Oncology'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 Predictive Oncology'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.

Stock analysis is the technique used by a trader or investor to examine and evaluate how Predictive Oncology 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 Predictive 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 Predictive Oncology. By using and applying Predictive Stock analysis, traders can create a robust methodology for identifying Predictive entry and exit points for their positions.

We track the performance of the top 100 financial experts across various large and mid-size financial boutiques. Predictive analyst recommendations are determined by taking all analyst recommendations and averaging them as Strong Buy, Buy, Hold, Strong Sell or Sell. There is no one specific way to measure analysis performance other than comparing it to the past results via a very sophisticated attribution analysis. Predictive analyst consensus and target price projections should be used in combination with other traditional techniques such as stock price forecasting, technical analysis, earnings estimate, and various momentum models.

Predictive Oncology stock analysis indicators help investors evaluate how Predictive Oncology stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing and determine when trading Predictive Oncology shares will generate the highest return on investment. By understating and applying Predictive Oncology stock analysis, traders can identify Predictive Oncology position entry and exit signals to maximize returns.

When running Predictive Oncology's price analysis, check to measure Predictive Oncology'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 Oncology is operating at the current time. Most of Predictive Oncology's value examination focuses on studying past and present price action to predict the probability of Predictive Oncology'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 Oncology's price. Additionally, you may evaluate how the addition of Predictive Oncology to your portfolios can decrease your overall portfolio volatility.