Predictive Oncology Stock Piotroski F Score
| POAI Stock | USD 1.18 0.01 0.85% |
Predictive | Piotroski F Score |
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..
3.0
Piotroski F Score - Frail
| Current Return On Assets | Negative |
| Change in Return on Assets | Decreased |
| Cash Flow Return on Assets | Negative |
| Current Quality of Earnings (accrual) | Improving |
| Asset Turnover Growth | Decrease |
| Current Ratio Change | Decrease |
| Long Term Debt Over Assets Change | N/A |
| Change In Outstending Shares | Increase |
| Change in Gross Margin | Increase |
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 Value | Last Year | Change From Last Year | 10 Year Trend | ||||||
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| Asset Turnover | 0.12 | 0.1235 |
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| Gross Profit Margin | 0.45 | 0.2435 |
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| Total Current Liabilities | 4 M | 4 M |
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| Total Assets | 9.5 M | 14.4 M |
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| Total Current Assets | 5.5 M | 10.1 M |
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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.
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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 |
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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.
| 2019 | 2020 | 2021 | 2022 | 2023 | 2024 (projected) | ||
| Market Cap | 7.5M | 8.7M | 52.2M | 22.4M | 13.2M | 14.9M | |
| Enterprise Value | 12.9M | 13.9M | 24.9M | 519.2K | 7.3M | 12.6M |
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.
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Predictive Oncology in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Predictive Oncology's short interest history, or implied volatility extrapolated from Predictive Oncology options trading.
Becoming a Better Investor with Macroaxis
Macroaxis puts the power of mathematics on your side. We analyze your portfolios and positions such as Predictive Oncology using complex mathematical models and algorithms, but make them easy to understand. There is no real person involved in your portfolio analysis. We perform a number of calculations to compute absolute and relative portfolio volatility, correlation between your assets, value at risk, expected return as well as over 100 different fundamental and technical indicators.Build Optimal Portfolios
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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.Note that the Predictive Oncology information on this page should be used as a complementary analysis to other Predictive Oncology's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Portfolio Holdings module to check your current holdings and cash postion to detemine if your portfolio needs rebalancing.
Complementary Tools for Predictive Stock analysis
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.
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Is Predictive Oncology's industry 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 (3.48) | Revenue Per Share 0.443 | Quarterly Revenue Growth (0.08) | Return On Assets (0.43) | Return On Equity (0.93) |
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.