This module uses fundamental data of Formula Systems to approximate its Piotroski F score. Formula Systems F Score is determined by combining nine binary scores representing 3 distinct fundamental categories of Formula Systems 1985. 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 Formula Systems financial position does not get reflected in the current market share price suggesting a possibility of arbitrage. Check out Formula Systems Altman Z Score, Formula Systems Correlation, Formula Systems Valuation, as well as analyze Formula Systems Alpha and Beta and Formula Systems Hype Analysis.
At this time, it appears that Formula Systems' Piotroski F Score is Strong. 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..
The critical factor to consider when applying the Piotroski F Score to Formula Systems is to make sure Formula is not a subject of accounting manipulations and runs a healthy internal audit department. So, if Formula Systems' 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 Formula Systems' financial numbers are properly reported.
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 Formula Systems' different financial indicators related to revenue, expenses, operating profit, and net earnings helps investors identify and prioritize their investing strategies towards Formula Systems in a much-optimized way.
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
88.44
At this time, Formula Systems' Book Value Per Share is fairly stable compared to the past year.
Formula Systems Current Valuation Drivers
We derive many important indicators used in calculating different scores of Formula Systems from analyzing Formula Systems' financial statements. These drivers represent accounts that assess Formula Systems' ability to generate profits relative to its revenue, operating costs, and shareholders' equity. Below are some of Formula Systems' important valuation drivers and their relationship over time.
Some studies have found that companies with high sustainability scores are getting higher valuations than competitors with lower social-engagement activities. While most ESG disclosures are voluntary and do not directly affect the long term financial condition, Formula Systems' sustainability indicators can be used to identify proper investment strategies using environmental, social, and governance scores that are crucial to Formula Systems' managers, analysts, and investors.
Environmental
Governance
Social
About Formula Systems Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze Formula Systems 1985's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Formula Systems using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Formula Systems 1985 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.
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.
When running Formula Systems' price analysis, check to measure Formula Systems' 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 Formula Systems is operating at the current time. Most of Formula Systems' value examination focuses on studying past and present price action to predict the probability of Formula Systems' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Formula Systems' price. Additionally, you may evaluate how the addition of Formula Systems to your portfolios can decrease your overall portfolio volatility.