Predictive Oncology Stock Piotroski F Score

POAI Stock  USD 1.21  0.13  9.70%   
This module uses fundamental data of Predictive Oncology to approximate its Piotroski F score. Predictive Oncology F Score is determined by combining nine binary scores representing 3 distinct fundamental categories of Predictive Oncology. These three categories are profitability, efficiency, and funding. Some research analysts and sophisticated value traders use Piotroski F Score to find opportunities outside of the conventional market and financial statement analysis.They believe that some of the new information about Predictive Oncology financial position does not get reflected in the current market share price suggesting a possibility of arbitrage. Check out Predictive Oncology Altman Z Score, Predictive Oncology Correlation, Predictive Oncology Valuation, as well as analyze Predictive Oncology Alpha and Beta and Predictive Oncology Hype Analysis.
For more detail on how to invest in Predictive Stock please use our How to Invest in Predictive Oncology guide.
  
As of now, Predictive Oncology's Total Debt To Capitalization is increasing as compared to previous years. As of now, Predictive Oncology's Capex To Revenue is decreasing as compared to previous years. The Predictive Oncology's current Net Debt To EBITDA is estimated to increase to 0.42, while Price To Sales Ratio is projected to decrease to 8.11.
At this time, it appears that Predictive Oncology's Piotroski F Score is Frail. Although some professional money managers and academia have recently criticized Piotroski F-Score model, we still consider it an effective method of predicting the state of the financial strength of any organization that is not predisposed to accounting gimmicks and manipulations. Using this score on the criteria to originate an efficient long-term portfolio can help investors filter out the purely speculative stocks or equities playing fundamental games by manipulating their earnings..
2.0
Piotroski F Score - Frail
Current Return On Assets

Negative

Focus
Change in Return on Assets

Decreased

Focus
Cash Flow Return on Assets

Negative

Focus
Current Quality of Earnings (accrual)

Improving

Focus
Asset Turnover Growth

Decrease

Focus
Current Ratio Change

Decrease

Focus
Long Term Debt Over Assets Change

N/A

Focus
Change In Outstending Shares

Increase

Focus
Change in Gross Margin

No Change

Focus

Predictive Oncology Piotroski F Score Drivers

The critical factor to consider when applying the Piotroski F Score to Predictive Oncology is to make sure Predictive is not a subject of accounting manipulations and runs a healthy internal audit department. So, if Predictive Oncology's auditors report directly to the board (not management), the managers will be reluctant to manipulate simply due to the fear of punishment. On the other hand, the auditors will be free to investigate the ledgers properly because they know that the board has their back. Below are the main accounts that are used in the Piotroski F Score model. By analyzing the historical trends of the mains drivers, investors can determine if Predictive Oncology's financial numbers are properly reported.
Current ValueLast YearChange From Last Year 10 Year Trend
Asset Turnover0.130.14
Significantly Down
Slightly volatile
Gross Profit Margin0.470.58
Significantly Down
Slightly volatile
Total Current LiabilitiesM4.5 M
Fairly Down
Slightly volatile
Total Assets9.5 M16.6 M
Way Down
Slightly volatile
Total Current Assets12.2 M11.6 M
Sufficiently Up
Slightly volatile

Predictive Oncology F Score Driver Matrix

One of the toughest challenges investors face today is learning how to quickly synthesize historical financial statements and information provided by the company, SEC reporting, and various external parties in order to project the various growth rates. Understanding the correlation between Predictive Oncology's different financial indicators related to revenue, expenses, operating profit, and net earnings helps investors identify and prioritize their investing strategies towards Predictive Oncology in a much-optimized way.

About Predictive Oncology Piotroski F Score

F-Score is one of many stock grading techniques developed by Joseph Piotroski, a professor of accounting at the Stanford University Graduate School of Business. It was published in 2002 under the paper titled Value Investing: The Use of Historical Financial Statement Information to Separate Winners from Losers. Piotroski F Score is based on binary analysis strategy in which stocks are given one point for passing 9 very simple fundamental tests, and zero point otherwise. According to Mr. Piotroski's analysis, his F-Score binary model can help to predict the performance of low price-to-book stocks.

Book Value Per Share

1.95

As of now, Predictive Oncology's Book Value Per Share is increasing as compared to previous years.

Predictive Oncology Current Valuation Drivers

We derive many important indicators used in calculating different scores of Predictive Oncology from analyzing Predictive Oncology's financial statements. These drivers represent accounts that assess Predictive Oncology's ability to generate profits relative to its revenue, operating costs, and shareholders' equity. Below are some of Predictive Oncology's important valuation drivers and their relationship over time.
202020212022202320242025 (projected)
Market Cap8.7M52.2M22.4M13.2M11.9M14.9M
Enterprise Value13.9M24.9M519.2K7.3M8.4M12.6M

About Predictive Oncology Fundamental Analysis

The Macroaxis Fundamental Analysis modules help investors analyze Predictive Oncology's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Predictive Oncology using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Predictive Oncology based on its fundamental data. In general, a quantitative approach, as applied to this company, focuses on analyzing financial statements comparatively, whereas a qaualitative method uses data that is important to a company's growth but cannot be measured and presented in a numerical way.
Please read more on our fundamental analysis page.

Currently Active Assets on Macroaxis

When determining whether Predictive Oncology offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Predictive Oncology's financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Predictive Oncology Stock. Outlined below are crucial reports that will aid in making a well-informed decision on Predictive Oncology Stock:
Check out Predictive Oncology Altman Z Score, Predictive Oncology Correlation, Predictive Oncology Valuation, as well as analyze Predictive Oncology Alpha and Beta and Predictive Oncology Hype Analysis.
For more detail on how to invest in Predictive Stock please use our How to Invest in Predictive Oncology guide.
You can also try the Crypto Correlations module to use cryptocurrency correlation module to diversify your cryptocurrency portfolio across multiple coins.
Is Health Care Equipment & Supplies space expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Predictive Oncology. If investors know Predictive will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Predictive Oncology listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Earnings Share
(2.96)
Revenue Per Share
0.416
Quarterly Revenue Growth
(0.43)
Return On Assets
(0.56)
Return On Equity
(1.49)
The market value of Predictive Oncology is measured differently than its book value, which is the value of Predictive that is recorded on the company's balance sheet. Investors also form their own opinion of Predictive Oncology's value that differs from its market value or its book value, called intrinsic value, which is Predictive Oncology's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Predictive Oncology's market value can be influenced by many factors that don't directly affect Predictive Oncology's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Predictive Oncology's value and its price as these two are different measures arrived at by different means. Investors typically determine if Predictive Oncology is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Predictive Oncology's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.