Sylvania Platinum Limited Stock Piotroski F Score
| SAPLF Stock | USD 0.82 0.06 6.82% |
Sylvania |
At this time, it appears that Sylvania Platinum's Piotroski F Score is Unavailable. 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..
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Piotroski F Score - Unavailable
| Current Return On Assets | N/A |
| Change in Return on Assets | N/A |
| Cash Flow Return on Assets | N/A |
| Current Quality of Earnings (accrual) | N/A |
| Asset Turnover Growth | N/A |
| Current Ratio Change | N/A |
| Long Term Debt Over Assets Change | N/A |
| Change In Outstending Shares | N/A |
| Change in Gross Margin | N/A |
Sylvania Platinum Piotroski F Score Drivers
The critical factor to consider when applying the Piotroski F Score to Sylvania Platinum is to make sure Sylvania is not a subject of accounting manipulations and runs a healthy internal audit department. So, if Sylvania Platinum'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 Sylvania Platinum's financial numbers are properly reported.
About Sylvania Platinum 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.About Sylvania Platinum Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze Sylvania Platinum Limited's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Sylvania Platinum using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Sylvania Platinum Limited based on its fundamental data. In general, a quantitative approach, as applied to this otc stock, 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.
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Complementary Tools for Sylvania OTC Stock analysis
When running Sylvania Platinum's price analysis, check to measure Sylvania Platinum'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 Sylvania Platinum is operating at the current time. Most of Sylvania Platinum's value examination focuses on studying past and present price action to predict the probability of Sylvania Platinum's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Sylvania Platinum's price. Additionally, you may evaluate how the addition of Sylvania Platinum to your portfolios can decrease your overall portfolio volatility.
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