Appharvest Stock Z Score
APPHDelisted Stock | USD 0.01 0.0004 2.84% |
AppHarvest |
AppHarvest Company Z Score Analysis
AppHarvest'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..
Current AppHarvest Z Score | -1.26 |
Most of AppHarvest's fundamental indicators, such as Z Score, are part of a valuation analysis module that helps investors searching for stocks that are currently trading at higher or lower prices than their real value. If the real value is higher than the market price, AppHarvest is considered to be undervalued, and we provide a buy recommendation. Otherwise, we render a sell signal.
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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.
CompetitionIn accordance with the company's disclosures, AppHarvest has a Z Score of -1.26. This is 113.91% lower than that of the Food Products sector and 140.78% lower than that of the Consumer Staples industry. The z score for all United States stocks is 114.45% higher than that of the company.
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AppHarvest Fundamentals
Revenue | 14.59 M | |||
EBITDA | (107.8 M) | |||
Net Income | (176.65 M) | |||
Cash And Equivalents | 50.94 M | |||
Cash Per Share | 0.48 X | |||
Total Debt | 291.15 M | |||
Debt To Equity | 0.49 % | |||
Current Ratio | 1.35 X | |||
Book Value Per Share | 1.73 X | |||
Cash Flow From Operations | (86.13 M) | |||
Earnings Per Share | (0.47) X | |||
Target Price | 0.75 | |||
Number Of Employees | 500 | |||
Beta | 2.52 | |||
Market Capitalization | 10.33 M | |||
Total Asset | 595.33 M | |||
Retained Earnings | (363.96 M) | |||
Working Capital | 71.14 M | |||
Z Score | -1.26 | |||
Net Asset | 595.33 M |
About AppHarvest Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze AppHarvest's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of AppHarvest using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of AppHarvest 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.
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards AppHarvest in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, AppHarvest's short interest history, or implied volatility extrapolated from AppHarvest options trading.
Pair Trading with AppHarvest
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 AppHarvest 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 AppHarvest will appreciate offsetting losses from the drop in the long position's value.Moving together with AppHarvest Stock
0.67 | PTAIF | PT Astra International | PairCorr |
Moving against AppHarvest Stock
0.89 | DIS | Walt Disney Report 8th of May 2024 | PairCorr |
0.84 | WMT | Walmart Financial Report 16th of May 2024 | PairCorr |
0.81 | PIFMF | PT Indofood Sukses | PairCorr |
0.79 | GE | GE Aerospace Financial Report 23rd of July 2024 | PairCorr |
0.77 | CAT | Caterpillar Earnings Call Today | PairCorr |
The ability to find closely correlated positions to AppHarvest could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace AppHarvest 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 AppHarvest - 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 AppHarvest to buy it.
The correlation of AppHarvest 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 AppHarvest moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if AppHarvest 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 AppHarvest 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 Trending Equities to better understand how to build diversified portfolios. Also, note that the market value of any company could be tightly coupled with the direction of predictive economic indicators such as signals in american community survey. You can also try the Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
Other Consideration for investing in AppHarvest Stock
If you are still planning to invest in AppHarvest check if it may still be traded through OTC markets such as Pink Sheets or OTC Bulletin Board. You may also purchase it directly from the company, but this is not always possible and may require contacting the company directly. Please note that delisted stocks are often considered to be more risky investments, as they are no longer subject to the same regulatory and reporting requirements as listed stocks. Therefore, it is essential to carefully research the AppHarvest's history and understand the potential risks before investing.
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