This module uses fundamental data of Microbot Medical to approximate its Piotroski F score. Microbot Medical F Score is determined by combining nine binary scores representing 3 distinct fundamental categories of Microbot Medical. 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 Microbot Medical financial position does not get reflected in the current market share price suggesting a possibility of arbitrage. Check out Microbot Medical Altman Z Score, Microbot Medical Correlation, Microbot Medical Valuation, as well as analyze Microbot Medical Alpha and Beta and Microbot Medical Hype Analysis.
Short and Long Term Debt Total is likely to drop to about 219.4 K in 2024. Net Debt is likely to drop to about (2.3 M) in 2024. At this time, Microbot Medical's PTB Ratio is comparatively stable compared to the past year. PB Ratio is likely to gain to 3.90 in 2024, whereas Days Sales Outstanding is likely to drop 77.35 in 2024.
At this time, it appears that Microbot Medical'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 Microbot Medical is to make sure Microbot is not a subject of accounting manipulations and runs a healthy internal audit department. So, if Microbot Medical'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 Microbot Medical'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 Microbot Medical's different financial indicators related to revenue, expenses, operating profit, and net earnings helps investors identify and prioritize their investing strategies towards Microbot Medical 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
0.42
At this time, Microbot Medical's Book Value Per Share is comparatively stable compared to the past year.
Microbot Medical Current Valuation Drivers
We derive many important indicators used in calculating different scores of Microbot Medical from analyzing Microbot Medical's financial statements. These drivers represent accounts that assess Microbot Medical's ability to generate profits relative to its revenue, operating costs, and shareholders' equity. Below are some of Microbot Medical's important valuation drivers and their relationship over time.
The Macroaxis Fundamental Analysis modules help investors analyze Microbot Medical's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Microbot Medical using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Microbot Medical 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.
Build portfolios using Macroaxis predefined set of investing ideas. Many of Macroaxis investing ideas can easily outperform a given market. Ideas can also be optimized per your risk profile before portfolio origination is invoked. Macroaxis thematic optimization helps investors identify companies most likely to benefit from changes or shifts in various micro-economic or local macro-level trends. Originating optimal thematic portfolios involves aligning investors' personal views, ideas, and beliefs with their actual investments.
When running Microbot Medical's price analysis, check to measure Microbot Medical'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 Microbot Medical is operating at the current time. Most of Microbot Medical's value examination focuses on studying past and present price action to predict the probability of Microbot Medical's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Microbot Medical's price. Additionally, you may evaluate how the addition of Microbot Medical to your portfolios can decrease your overall portfolio volatility.