| GAUZ Stock | | | 8.12 0.16 2.01% |
Altman Z Score is one of the simplest fundamental models to determine how likely your company is to fail. The module uses available fundamental data of a given equity to approximate the Altman Z score. Altman Z Score is determined by evaluating five fundamental price points available from the company's current public disclosure documents. Check out
Gauzy Piotroski F Score and
Gauzy Valuation analysis.
At this time, Gauzy's
Capital Expenditures is fairly stable compared to the past year.
Long Term Debt To Capitalization is likely to rise to 3.51 in 2024, whereas
Capital Lease Obligations is likely to drop slightly above 8.5
M in 2024. At this time, Gauzy's
Interest Expense is fairly stable compared to the past year.
Total Revenue is likely to rise to about 81.9
M in 2024, whereas
Depreciation And Amortization is likely to drop slightly above 3.4
M in 2024.
Gauzy Ltd Ordinary Company Z Score Analysis
Gauzy's Z-Score is a simple linear, multi-factor model that measures the financial health and economic stability of a company. The score is used to predict the probability of a firm going into bankruptcy within next 24 months or two fiscal years from the day stated on the accounting statements used to calculate it. The model uses five fundamental business ratios that are weighted according to algorithm of Professor Edward Altman who developed it in the late 1960s at New York University..
| First Factor | = | 1.2 * ( | Working Capital | / | Total Assets ) |
|
| Second Factor | = | 1.4 * ( | Retained Earnings | / | Total Assets ) |
|
| Thrid Factor | = | 3.3 * ( | EBITAD | / | Total Assets ) |
|
| Fouth Factor | = | 0.6 * ( | Market Value of Equity | / | Total Liabilities ) |
|
| Fifth Factor | = | 0.99 * ( | Revenue | / | Total Assets ) |
|
Gauzy Z Score Driver Correlations
Understanding the fundamental principles of building solid financial models for Gauzy is extremely important. It helps to project a fair market value of Gauzy Stock properly, considering its historical
fundamentals such as Z Score. Since Gauzy's main accounts across its financial reports are all linked and dependent on each other, it is essential to analyze all possible correlations between related accounts. However, instead of reviewing all of Gauzy's historical
financial statements, investors can examine the correlated drivers to determine its overall health. This can be effectively done using a conventional correlation matrix of Gauzy's interrelated accounts and indicators.
Click cells to compare fundamentals
To calculate a Z-Score, one would need to know a company's current working capital, its total assets and liabilities, and the amount of its latest earnings as well as earnings before interest and tax. Z-Scores can be used to compare the odds of bankruptcy of companies in a similar line of business or firms operating in the same industry. Companies with Z-Scores above 3.1 are generally considered to be stable and healthy with a low probability of bankruptcy. Scores that fall between 1.8 and 3.1 lie in a so-called 'grey area,' with scores of less than 1 indicating the highest probability of distress. Z Score is a used widely measure by financial auditors, accountants, money managers, loan processors, wealth advisers, and day traders. In the last 25 years, many financial models that utilize z-scores proved it to be successful as a predictor of corporate bankruptcy.
According to the company's disclosures, Gauzy Ltd Ordinary has a Z Score of 0.0. This is 100.0% lower than that of the Electronic Equipment, Instruments & Components sector and about the same as
Information Technology (which currently averages 0.0) industry. The z score for all United States stocks is 100.0% higher than that of the company.
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Gauzy ESG Sustainability
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, Gauzy's sustainability indicators can be used to identify proper investment strategies using environmental, social, and governance scores that are crucial to Gauzy's managers, analysts, and investors. Gauzy Fundamentals
About Gauzy Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze Gauzy Ltd Ordinary's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Gauzy using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at
the intrinsic value of Gauzy Ltd Ordinary 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.
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When running Gauzy's price analysis, check to
measure Gauzy'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 Gauzy is operating at the current time. Most of Gauzy's value examination focuses on studying past and present price action to
predict the probability of Gauzy's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Gauzy's price. Additionally, you may evaluate how the addition of Gauzy to your portfolios can decrease your overall portfolio volatility.