This module uses fundamental data of Logility to approximate its Piotroski F score. Logility F Score is determined by combining nine binary scores representing 3 distinct fundamental categories of Logility. 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 Logility financial position does not get reflected in the current market share price suggesting a possibility of arbitrage. Check out Logility Altman Z Score, Logility Correlation, Logility Valuation, as well as analyze Logility Alpha and Beta and Logility Hype Analysis.
At this time, it appears that Logility'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..
The critical factor to consider when applying the Piotroski F Score to Logility is to make sure Logility is not a subject of accounting manipulations and runs a healthy internal audit department. So, if Logility'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 Logility's 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 Logility's different financial indicators related to revenue, expenses, operating profit, and net earnings helps investors identify and prioritize their investing strategies towards Logility 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.
Total Assets
208.26 Million
At this time, Logility's Total Assets are fairly stable compared to the past year.
About Logility Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze Logility's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Logility using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Logility 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 Logility's price analysis, check to measure Logility'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 Logility is operating at the current time. Most of Logility's value examination focuses on studying past and present price action to predict the probability of Logility's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Logility's price. Additionally, you may evaluate how the addition of Logility to your portfolios can decrease your overall portfolio volatility.