MSW Stock | | | USD 4.17 0.17 3.92% |
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
Ming Shing Piotroski F Score and
Ming Shing Valuation analysis.
At this time, Ming Shing's
Capital Lease Obligations is fairly stable compared to the past year.
Capital Expenditures is likely to climb to about 1.2
M in 2024, whereas
Net Invested Capital is likely to drop slightly above 5
M in 2024.
Tax Provision is likely to drop to about 419.4
K in 2024.
Net Interest Income is likely to climb to about (360.5
K) in 2024
Ming Shing Group Company Z Score Analysis
Ming Shing'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 ) |
|
Ming Z Score Driver Correlations
Understanding the fundamental principles of building solid financial models for Ming Shing is extremely important. It helps to project a fair market value of Ming Stock properly, considering its historical
fundamentals such as Z Score. Since Ming Shing'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 Ming Shing'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 Ming Shing'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.
Based on the company's disclosures, Ming Shing Group has a Z Score of 0.0. This is 100.0% lower than that of the Industrials sector and 100.0% lower than that of the
Engineering & Construction industry. The z score for all United States stocks is 100.0% higher than that of the company.
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Ming Fundamentals
About Ming Shing Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze Ming Shing Group's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Ming Shing using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at
the intrinsic value of Ming Shing Group 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.
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When running Ming Shing's price analysis, check to
measure Ming Shing'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 Ming Shing is operating at the current time. Most of Ming Shing's value examination focuses on studying past and present price action to
predict the probability of Ming Shing's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Ming Shing's price. Additionally, you may evaluate how the addition of Ming Shing to your portfolios can decrease your overall portfolio volatility.