Fat Brands Stock Analysis

FAT Stock Analysis Notes

About 69.0% of the company shares are held by company insiders. The company recorded a loss per share of 11.6. FAT Brands last dividend was issued on the 15th of November 2024. The entity had 1794:1000 split on the 30th of January 2025. FAT Brands Inc., a multi-brand franchising company, acquires, develops, and manages quick service, fast casual, casual dining, and polished casual dining restaurant concepts worldwide. FAT Brands Inc. operates as a subsidiary of Fog Cutter Holdings, LLC. Fat Brands operates under Restaurants classification in the United States and is traded on NASDAQ Exchange. It employs 1100 people. To learn more about FAT Brands call Joe Hummel at 310 319 1850 or check out https://www.fatbrands.com.

FAT Brands Investment Alerts

FAT Brands Upcoming and Recent Events

FAT Brands Thematic Classifications

FAT Market Capitalization

The company currently falls under 'Micro-Cap' category with a total capitalization of 44.5 M.

FAT Profitablity

The company has Net Profit Margin of (0.32) %, which means that it does not effectively control expenditures or properly executes on its pricing strategies. This is way below average. In the same way, it shows Net Operating Margin of (0.06) %, which entails that for every $100 of revenue, it lost $0.06.

Technical Drivers

As of the 20th of April, FAT Brands shows the Standard Deviation of 4.96, market risk adjusted performance of (2.05), and Mean Deviation of 3.43. FAT Brands technical analysis allows you to utilize historical prices and volume patterns in order to determine a pattern that computes the direction of the entity's future prices.

FAT Brands Price Movement Analysis

FAT Brands Insider Trading Activities

FAT Brands Outstanding Bonds

FAT Brands Predictive Daily Indicators

FAT Brands Forecast Models

FAT Brands' time-series forecasting models are one of many FAT Brands' stock analysis techniques aimed at predicting future share value based on previously observed values. Time-series forecasting models ae widely used for non-stationary data. Non-stationary data are called the data whose statistical properties e.g. the mean and standard deviation are not constant over time but instead, these metrics vary over time. These non-stationary FAT Brands' historical data is usually called time-series. Some empirical experimentation suggests that the statistical forecasting models outperform the models based exclusively on fundamental analysis to predict the direction of the market movement and maximize returns from investment trading.

Stock analysis is the technique used by a trader or investor to examine and evaluate how FAT Brands prices is reacting to, or reflecting on a current market direction and economic conditions. It can be used to make informed decisions about market timing, and when buying or selling FAT shares will generate the highest return on investment. We also built our stock analysis module to help investors to gain an insight into the world economy as a whole, the stock market, thematic ideas. a specific sector, or an individual Stock such as FAT Brands. By using and applying FAT Stock analysis, traders can create a robust methodology for identifying FAT entry and exit points for their positions.

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.