FAT Total Revenue vs Selling And Marketing Expenses Analysis
| FAT Stock | USD 5.43 0.01 0.18% |
FAT Brands financial indicator trend analysis is much more than just examining FAT Brands latest accounting drivers to predict future trends. We encourage investors to analyze account correlations over time for multiple indicators to determine whether FAT Brands is a good investment. Please check the relationship between FAT Brands Total Revenue and its Selling And Marketing Expenses accounts. Check out Investing Opportunities to better understand how to build diversified portfolios, which includes a position in FAT Brands. Also, note that the market value of any company could be tightly coupled with the direction of predictive economic indicators such as signals in nation. For more information on how to buy FAT Stock please use our How to Invest in FAT Brands guide.
Total Revenue vs Selling And Marketing Expenses
Total Revenue vs Selling And Marketing Expenses Correlation Analysis
The overlapping area represents the amount of trend that can be explained by analyzing historical patterns of FAT Brands Total Revenue account and Selling And Marketing Expenses. At this time, the significance of the direction appears to have totally related.
The correlation between FAT Brands' Total Revenue and Selling And Marketing Expenses is 1.0. Overlapping area represents the amount of variation of Total Revenue that can explain the historical movement of Selling And Marketing Expenses in the same time period over historical financial statements of FAT Brands, assuming nothing else is changed. The correlation between historical values of FAT Brands' Total Revenue and Selling And Marketing Expenses is a relative statistical measure of the degree to which these accounts tend to move together. The correlation coefficient measures the extent to which Total Revenue of FAT Brands are associated (or correlated) with its Selling And Marketing Expenses. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when Selling And Marketing Expenses has no effect on the direction of Total Revenue i.e., FAT Brands' Total Revenue and Selling And Marketing Expenses go up and down completely randomly.
Correlation Coefficient | 1.0 |
| Relationship Direction | Positive |
| Relationship Strength | Very Strong |
Total Revenue
Total revenue comprises all receipts FAT Brands generated from the sale of its products or services. The total amount of income generated by the sale of goods or services related to the company's primary operations.Selling And Marketing Expenses
Most indicators from FAT Brands' fundamental ratios are interrelated and interconnected. However, analyzing fundamental ratios indicators one by one will only give a small insight into FAT Brands current financial condition. On the other hand, looking into the entire matrix of fundamental ratios indicators, and analyzing their relationships over time can provide a more complete picture of the company financial strength now and in the future. Check out Investing Opportunities to better understand how to build diversified portfolios, which includes a position in FAT Brands. Also, note that the market value of any company could be tightly coupled with the direction of predictive economic indicators such as signals in nation. For more information on how to buy FAT Stock please use our How to Invest in FAT Brands guide.At this time, FAT Brands' Selling General Administrative is comparatively stable compared to the past year. Tax Provision is likely to gain to about 17.4 M in 2024, whereas Enterprise Value Over EBITDA is likely to drop 27.79 in 2024.
| 2021 | 2022 | 2023 | 2024 (projected) | Gross Profit | 56.7M | 141.0M | 166.4M | 174.8M | Total Revenue | 118.9M | 407.2M | 480.5M | 504.5M |
FAT Brands fundamental ratios Correlations
Click cells to compare fundamentals
FAT Brands Account Relationship Matchups
High Positive Relationship
High Negative Relationship
FAT Brands fundamental ratios Accounts
| 2019 | 2020 | 2021 | 2022 | 2023 | 2024 (projected) | ||
| Total Assets | 82.6M | 121.1M | 1.3B | 1.2B | 1.4B | 1.5B | |
| Other Current Liab | 12.8M | 42.6M | 153.4M | 182.2M | 192.4M | 202.1M | |
| Total Current Liabilities | 45.6M | 73.2M | 198.5M | 267.0M | 276.6M | 290.4M | |
| Total Stockholder Equity | 5.4M | (41.9M) | (21.7M) | (159.2M) | (255.9M) | (243.1M) | |
| Other Liab | 9.8M | 12.0M | 96.0M | 51.2M | 58.9M | 61.8M | |
| Current Deferred Revenue | 895K | 1.9M | 2.6M | 2.0M | 2.5M | 1.9M | |
| Net Debt | 30.6M | 94.0M | 955.5M | 1.1B | 1.3B | 1.4B | |
| Retained Earnings | (6.0M) | (20.9M) | (52.5M) | (178.7M) | (268.8M) | (255.3M) | |
| Accounts Payable | 7.2M | 8.6M | 27.5M | 18.3M | 21.8M | 11.3M | |
| Cash | 25K | 3.9M | 56.7M | 28.7M | 37.0M | 38.9M | |
| Non Current Assets Total | 72.1M | 96.7M | 1.2B | 1.1B | 1.3B | 1.3B | |
| Non Currrent Assets Other | 755K | 1.5M | 24.6M | 18.7M | 21.0M | 13.7M | |
| Other Assets | 30.6M | 38.1K | 24.6M | (11K) | 35K | 33.3K | |
| Cash And Short Term Investments | 25K | 3.9M | 56.7M | 28.7M | 37.0M | 38.9M | |
| Net Receivables | 4.4M | 4.4M | 19.8M | 23.9M | 21.1M | 22.2M | |
| Good Will | 10.9M | 10.9M | 295.1M | 293.3M | 305.1M | 320.4M | |
| Common Stock Total Equity | 11.4M | (42.8K) | (24.8M) | (26.0M) | (23.4M) | (22.2M) | |
| Common Stock Shares Outstanding | 11.8M | 11.9M | 14.7M | 16.5M | 16.6M | 14.2M | |
| Liabilities And Stockholders Equity | 82.6M | 121.1M | 1.3B | 1.2B | 1.4B | 1.5B | |
| Non Current Liabilities Total | 31.6M | 89.9M | 1.1B | 1.1B | 1.4B | 1.4B | |
| Other Current Assets | 929K | 2.4M | 11.9M | 6.1M | 10.5M | 11.0M | |
| Total Liab | 77.2M | 163.0M | 1.3B | 1.4B | 1.6B | 1.7B | |
| Total Current Assets | 10.5M | 24.4M | 118.5M | 95.7M | 121.0M | 127.1M | |
| Intangible Assets | 29.7M | 47.7M | 652.8M | 625.3M | 620.6M | 651.6M | |
| Common Stock | 10.8M | 11.4M | 1K | 2K | 1.8K | 1.7K | |
| Non Current Liabilities Other | 26.3M | 82K | 110.6M | 117.3M | 4.7M | 4.4M | |
| Short Long Term Debt Total | 30.6M | 97.9M | 1.0B | 1.1B | 1.4B | 1.5B | |
| Net Tangible Assets | (35.3M) | (122.3M) | (665.6M) | (830.0M) | (747.0M) | (709.6M) | |
| Long Term Debt | 5.2M | 73.9M | 904.3M | 958.6M | 1.1B | 1.2B | |
| Retained Earnings Total Equity | (6.0M) | (20.9M) | (52.5M) | (178.7M) | (160.8M) | (152.8M) | |
| Net Invested Capital | 35.1M | 29.5M | 827.6M | 803.6M | 897.1M | 941.9M | |
| Short Long Term Debt | 24.5M | 19.3M | 631K | 49.6M | 42.6M | 26.7M | |
| Net Working Capital | (35.1M) | (48.8M) | (80.0M) | (171.3M) | (155.6M) | (147.8M) |
Pair Trading with FAT Brands
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if FAT Brands position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in FAT Brands will appreciate offsetting losses from the drop in the long position's value.Moving against FAT Stock
| 0.88 | SG | Sweetgreen Sell-off Trend | PairCorr |
| 0.81 | CDROW | Codere Online Luxembourg | PairCorr |
| 0.78 | BH | Biglari Holdings Downward Rally | PairCorr |
| 0.75 | CMG | Chipotle Mexican Grill | PairCorr |
| 0.7 | EM | Smart Share Global | PairCorr |
The ability to find closely correlated positions to FAT Brands could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace FAT Brands when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back FAT Brands - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling FAT Brands to buy it.
The correlation of FAT Brands is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as FAT Brands moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if FAT Brands moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for FAT Brands can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Check out Investing Opportunities to better understand how to build diversified portfolios, which includes a position in FAT Brands. Also, note that the market value of any company could be tightly coupled with the direction of predictive economic indicators such as signals in nation. For more information on how to buy FAT Stock please use our How to Invest in FAT Brands guide.Note that the FAT Brands information on this page should be used as a complementary analysis to other FAT Brands' statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Portfolio Holdings module to check your current holdings and cash postion to detemine if your portfolio needs rebalancing.
Complementary 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.
| Commodity Channel Use Commodity Channel Index to analyze current equity momentum | |
| Pair Correlation Compare performance and examine fundamental relationship between any two equity instruments | |
| Equity Forecasting Use basic forecasting models to generate price predictions and determine price momentum | |
| USA ETFs Find actively traded Exchange Traded Funds (ETF) in USA | |
| Risk-Return Analysis View associations between returns expected from investment and the risk you assume | |
| Sync Your Broker Sync your existing holdings, watchlists, positions or portfolios from thousands of online brokerage services, banks, investment account aggregators and robo-advisors. | |
| Theme Ratings Determine theme ratings based on digital equity recommendations. Macroaxis theme ratings are based on combination of fundamental analysis and risk-adjusted market performance | |
| Companies Directory Evaluate performance of over 100,000 Stocks, Funds, and ETFs against different fundamentals | |
| Commodity Directory Find actively traded commodities issued by global exchanges | |
| Idea Breakdown Analyze constituents of all Macroaxis ideas. Macroaxis investment ideas are predefined, sector-focused investing themes |
Is FAT Brands' industry expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of FAT Brands. If investors know FAT will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about FAT Brands listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth 112.056 | Dividend Share 0.56 | Earnings Share (6.17) | Revenue Per Share 31.514 | Quarterly Revenue Growth 0.438 |
The market value of FAT Brands is measured differently than its book value, which is the value of FAT that is recorded on the company's balance sheet. Investors also form their own opinion of FAT Brands' value that differs from its market value or its book value, called intrinsic value, which is FAT Brands' true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because FAT Brands' market value can be influenced by many factors that don't directly affect FAT Brands' underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between FAT Brands' value and its price as these two are different measures arrived at by different means. Investors typically determine if FAT Brands is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, FAT Brands' price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.