Zooz Power Ltd Stock Piotroski F Score

ZOOZW Stock   0.08  0  5.19%   
This module uses fundamental data of ZOOZ Power to approximate its Piotroski F score. ZOOZ Power F Score is determined by combining nine binary scores representing 3 distinct fundamental categories of ZOOZ Power Ltd. 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 ZOOZ Power financial position does not get reflected in the current market share price suggesting a possibility of arbitrage. Check out ZOOZ Power Altman Z Score, ZOOZ Power Correlation, ZOOZ Power Valuation, as well as analyze ZOOZ Power Alpha and Beta and ZOOZ Power Hype Analysis.
  
Short and Long Term Debt Total is likely to drop to about 1.2 M in 2024. Net Debt is likely to drop to about (5.6 M) in 2024.
At this time, it appears that ZOOZ Power'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..
3.0
Piotroski F Score - Frail
Current Return On Assets

Negative

Focus
Change in Return on Assets

Decreased

Focus
Cash Flow Return on Assets

Negative

Focus
Current Quality of Earnings (accrual)

Decreasing

Focus
Asset Turnover Growth

Decrease

Focus
Current Ratio Change

Increase

Focus
Long Term Debt Over Assets Change

N/A

Focus
Change In Outstending Shares

Decrease

Focus
Change in Gross Margin

No Change

Focus

ZOOZ Power Piotroski F Score Drivers

The critical factor to consider when applying the Piotroski F Score to ZOOZ Power is to make sure ZOOZ is not a subject of accounting manipulations and runs a healthy internal audit department. So, if ZOOZ Power'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 ZOOZ Power's financial numbers are properly reported.
Current ValueLast YearChange From Last Year 10 Year Trend
Asset Turnover0.04540.051
Fairly Down
Slightly volatile
Total Current Liabilities3.4 M3.3 M
Sufficiently Up
Slightly volatile
Non Current Liabilities Total914.8 KM
Fairly Down
Slightly volatile
Total Assets15.6 M13.5 M
Fairly Up
Slightly volatile
Total Current Assets13.3 M10.3 M
Significantly Up
Slightly volatile

ZOOZ Power F Score Driver Matrix

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 ZOOZ Power's different financial indicators related to revenue, expenses, operating profit, and net earnings helps investors identify and prioritize their investing strategies towards ZOOZ Power in a much-optimized way.

About ZOOZ Power 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 ZOOZ Power Fundamental Analysis

The Macroaxis Fundamental Analysis modules help investors analyze ZOOZ Power Ltd's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of ZOOZ Power using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of ZOOZ Power Ltd 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.
Please read more on our fundamental analysis page.

Also Currently Popular

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.

Additional Tools for ZOOZ Stock Analysis

When running ZOOZ Power's price analysis, check to measure ZOOZ Power'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 ZOOZ Power is operating at the current time. Most of ZOOZ Power's value examination focuses on studying past and present price action to predict the probability of ZOOZ Power's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move ZOOZ Power's price. Additionally, you may evaluate how the addition of ZOOZ Power to your portfolios can decrease your overall portfolio volatility.