Fat Brands Stock Z Score
FATBW Stock | USD 2.97 0.01 0.34% |
FAT | Z Score |
FAT Brands Company Z Score Analysis
FAT Brands' 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..
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FAT Z Score Driver Correlations
Understanding the fundamental principles of building solid financial models for FAT Brands is extremely important. It helps to project a fair market value of FAT Stock properly, considering its historical fundamentals such as Z Score. Since FAT Brands' 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 FAT Brands' 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 FAT Brands' interrelated accounts and indicators.
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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.
Competition |
According to the company's disclosures, FAT Brands has a Z Score of 0.0. This indicator is about the same for the Hotels, Restaurants & Leisure average (which is currently at 0.0) sector and about the same as Consumer Discretionary (which currently averages 0.0) industry. This indicator is about the same for all United States stocks average (which is currently at 0.0).
FAT Z Score Peer Comparison
Stock peer comparison is one of the most widely used and accepted methods of equity analyses. It analyses FAT Brands' direct or indirect competition against its Z Score to detect undervalued stocks with similar characteristics or determine the stocks which would be a good addition to a portfolio. Peer analysis of FAT Brands could also be used in its relative valuation, which is a method of valuing FAT Brands by comparing valuation metrics of similar companies.FAT Brands is currently under evaluation in z score category among its peers.
FAT Brands 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, FAT Brands' sustainability indicators can be used to identify proper investment strategies using environmental, social, and governance scores that are crucial to FAT Brands' managers, analysts, and investors.Environmental | Governance | Social |
FAT Fundamentals
Return On Asset | -0.0153 | ||||
Profit Margin | (0.25) % | ||||
Operating Margin | (0.06) % | ||||
Revenue | 480.46 M | ||||
EBITDA | 37.56 M | ||||
Net Income | (90.11 M) | ||||
Cash And Equivalents | 4.63 M | ||||
Cash Per Share | 0.39 X | ||||
Total Debt | 1.38 B | ||||
Current Ratio | 0.68 X | ||||
Book Value Per Share | (24.98) X | ||||
Cash Flow From Operations | (35.61 M) | ||||
Number Of Employees | 2.6 K | ||||
Beta | 1.84 | ||||
Market Capitalization | 159.35 M | ||||
Total Asset | 1.39 B | ||||
Retained Earnings | (268.78 M) | ||||
Working Capital | (155.59 M) | ||||
Net Asset | 1.39 B |
About FAT Brands Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze FAT Brands's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of FAT Brands using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of FAT Brands 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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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 FAT Stock Analysis
When running FAT Brands' price analysis, check to measure FAT Brands' 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 FAT Brands is operating at the current time. Most of FAT Brands' value examination focuses on studying past and present price action to predict the probability of FAT Brands' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move FAT Brands' price. Additionally, you may evaluate how the addition of FAT Brands to your portfolios can decrease your overall portfolio volatility.