Fat Brands Preferred Stock Year To Date Return
| FATBP Preferred Stock | USD 9.60 0.05 0.52% |
FAT Brands fundamentals help investors to digest information that contributes to FAT Brands' financial success or failures. It also enables traders to predict the movement of FAT Preferred Stock. The fundamental analysis module provides a way to measure FAT Brands' intrinsic value by examining its available economic and financial indicators, including the cash flow records, the balance sheet account changes, the income statement patterns, and various microeconomic indicators and financial ratios related to FAT Brands preferred stock.
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FAT Brands Company Year To Date Return Analysis
FAT Brands' Year to Date Return (YTD) is the total return generated from holding a security from the beginning of the current fiscal year. In other words, YTD Return represents the capital appreciation of your investments from the start of the current fiscal year.
More About Year To Date Return | All Equity Analysis
YTD Return | = | (Mean of Monthly Returns - 1) | X | 100% |
Year-To-Date typically refers to a period starting from the beginning of the current year and continuing up to the present day. Investors should becareful when comparing YTD ratios if not much of the year has occurred as research shows that YTD measures are more sensitive to early periods than late.
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According to the company's disclosures, FAT Brands has a Year To Date Return of 0.0%. This indicator is about the same for the Consumer Cyclical average (which is currently at 0.0) sector and about the same as Restaurants (which currently averages 0.0) industry. This indicator is about the same for all United States preferred stocks average (which is currently at 0.0).
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FAT Fundamentals
| Return On Equity | -1.57 | ||||
| Return On Asset | 0.0098 | ||||
| Profit Margin | (0.20) % | ||||
| Operating Margin | 0.04 % | ||||
| Current Valuation | 491.76 M | ||||
| Shares Owned By Insiders | 0.55 % | ||||
| Shares Owned By Institutions | 7.98 % | ||||
| Number Of Shares Shorted | 32.53 K | ||||
| Revenue | 118.88 M | ||||
| Gross Profit | 56.67 M | ||||
| EBITDA | 2.5 M | ||||
| Net Income | (31.58 M) | ||||
| Cash And Equivalents | 23.91 M | ||||
| Cash Per Share | 1.44 X | ||||
| Total Debt | 904.26 M | ||||
| Current Ratio | 0.41 X | ||||
| Book Value Per Share | (8.03) X | ||||
| Cash Flow From Operations | 682 K | ||||
| Short Ratio | 3.10 X | ||||
| Earnings Per Share | (3.36) X | ||||
| Number Of Employees | 1.1 K | ||||
| Beta | 2.06 | ||||
| Market Capitalization | 37.11 M | ||||
| Total Asset | 1.27 B | ||||
| Annual Yield | 0.12 % | ||||
| Net Asset | 1.27 B | ||||
| Last Dividend Paid | 0.53 |
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.
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 together with FAT Preferred Stock
Moving against FAT Preferred Stock
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.Additional Tools for FAT Preferred 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.