| SERV Stock | | | USD 8.81 0.48 5.76% |
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
Serve Robotics Piotroski F Score and
Serve Robotics Valuation analysis.
At this time, Serve Robotics'
Change In Working Capital is fairly stable compared to the past year.
Return On Capital Employed is likely to climb to 6.34 in 2024, whereas
Capital Lease Obligations is likely to drop slightly above 3.1
M in 2024.
Serve Robotics Common Company Z Score Analysis
Serve Robotics' 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 ) |
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| Second Factor | = | 1.4 * ( | Retained Earnings | / | Total Assets ) |
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| Thrid Factor | = | 3.3 * ( | EBITAD | / | Total Assets ) |
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| Fouth Factor | = | 0.6 * ( | Market Value of Equity | / | Total Liabilities ) |
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| Fifth Factor | = | 0.99 * ( | Revenue | / | Total Assets ) |
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Serve Z Score Driver Correlations
Understanding the fundamental principles of building solid financial models for Serve Robotics is extremely important. It helps to project a fair market value of Serve Stock properly, considering its historical
fundamentals such as Z Score. Since Serve Robotics' 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 Serve Robotics' 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 Serve Robotics' 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.
Based on the company's disclosures, Serve Robotics Common has a Z Score of 0.0. This is 100.0% lower than that of the Hotels, Restaurants & Leisure sector and 100.0% lower than that of the
Consumer Discretionary industry. The z score for all United States stocks is 100.0% higher than that of the company.
| | SectorsList of equity sectors categorizing publicly traded companies based on their primary business activities |
Serve Robotics 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, Serve Robotics' sustainability indicators can be used to identify proper investment strategies using environmental, social, and governance scores that are crucial to Serve Robotics' managers, analysts, and investors. Serve Fundamentals
About Serve Robotics Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze Serve Robotics Common's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Serve Robotics using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at
the intrinsic value of Serve Robotics Common 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.
Additional Tools for Serve Stock Analysis
When running Serve Robotics' price analysis, check to
measure Serve Robotics' 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 Serve Robotics is operating at the current time. Most of Serve Robotics' value examination focuses on studying past and present price action to
predict the probability of Serve Robotics' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Serve Robotics' price. Additionally, you may evaluate how the addition of Serve Robotics to your portfolios can decrease your overall portfolio volatility.