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
Fit After Piotroski F Score and
Fit After Valuation analysis.
Capital Expenditures is likely to rise to 1,904 in 2024. At this time, Fit After's
Total Revenue is fairly stable compared to the past year.
Gross Profit is likely to rise to about 53.7
K in 2024, whereas
Selling General Administrative is likely to drop slightly above 242.4
K in 2024.
Fit After Fifty Company Z Score Analysis
Fit After'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 ) |
|
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, Fit After Fifty has a Z Score of 0.0. This is 100.0% lower than that of the Leisure Products 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.
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Fit Fundamentals
About Fit After Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze Fit After Fifty's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Fit After using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at
the intrinsic value of Fit After Fifty 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 Fit After's price analysis, check to
measure Fit After'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 Fit After is operating at the current time. Most of Fit After's value examination focuses on studying past and present price action to
predict the probability of Fit After's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Fit After's price. Additionally, you may evaluate how the addition of Fit After to your portfolios can decrease your overall portfolio volatility.