This module uses fundamental data of Arrive AI to approximate its Piotroski F score. Arrive AI F Score is determined by combining nine binary scores representing 3 distinct fundamental categories of Arrive AI. 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 Arrive AI financial position does not get reflected in the current market share price suggesting a possibility of arbitrage. Check out Arrive AI Altman Z Score, Arrive AI Correlation, Arrive AI Valuation, as well as analyze Arrive AI Alpha and Beta and Arrive AI Hype Analysis.
As of now, Arrive AI's Short Term Debt is increasing as compared to previous years. The Arrive AI's current Debt To Assets is estimated to increase to 0.02, while Net Debt is projected to decrease to (115.7 K). The Arrive AI's current Income Quality is estimated to increase to 0.73, while PTB Ratio is projected to decrease to (424.21).
At this time, it appears that Arrive AI'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 Arrive AI is to make sure Arrive is not a subject of accounting manipulations and runs a healthy internal audit department. So, if Arrive AI'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 Arrive AI'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 Arrive AI's different financial indicators related to revenue, expenses, operating profit, and net earnings helps investors identify and prioritize their investing strategies towards Arrive AI 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
(0.0312)
As of now, Arrive AI's Book Value Per Share is decreasing as compared to previous years.
About Arrive AI Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze Arrive AI's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Arrive AI using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Arrive AI 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.
When determining whether Arrive AI offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Arrive AI'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 Arrive Ai Stock. Outlined below are crucial reports that will aid in making a well-informed decision on Arrive Ai Stock:
For more detail on how to invest in Arrive Stock please use our How to Invest in Arrive AI guide.You can also try the Technical Analysis module to check basic technical indicators and analysis based on most latest market data.
Is Software - Infrastructure 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 Arrive AI. If investors know Arrive 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 Arrive AI listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Earnings Share
(0.19)
Return On Equity
(2.02)
The market value of Arrive AI is measured differently than its book value, which is the value of Arrive that is recorded on the company's balance sheet. Investors also form their own opinion of Arrive AI's value that differs from its market value or its book value, called intrinsic value, which is Arrive AI'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 Arrive AI's market value can be influenced by many factors that don't directly affect Arrive AI'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 Arrive AI's value and its price as these two are different measures arrived at by different means. Investors typically determine if Arrive AI is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Arrive AI'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.