Green Plains Partners Stock Probability Of Bankruptcy
| GPPDelisted Stock | USD 14.16 0.07 0.50% |
Green |
Green Plains Partners Company probability of distress Analysis
Green Plains' Probability Of Bankruptcy is a relative measure of the likelihood of financial distress. For stocks, the Probability Of Bankruptcy is the normalized value of Z-Score. For funds and ETFs, it is derived from a multi-factor model developed by Macroaxis. The score is used to predict the probability of a firm or a fund experiencing financial distress within the next 24 months. Unlike Z-Score, Probability Of Bankruptcy is the value between 0 and 100, indicating the firm's actual probability it will be financially distressed in the next 2 fiscal years.
More About Probability Of Bankruptcy | All Equity Analysis
Probability Of Bankruptcy | = | Normalized | | Z-Score |
Current Green Plains Probability Of Bankruptcy | Over 100% |
Most of Green Plains' fundamental indicators, such as Probability Of Bankruptcy, 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, Green Plains Partners is considered to be undervalued, and we provide a buy recommendation. Otherwise, we render a sell signal.
Our calculation of Green Plains probability of bankruptcy is based on Altman Z-Score and Piotroski F-Score, but not limited to these measures. To be applied to a broader range of industries and markets, we use several other techniques to enhance the accuracy of predicting Green Plains odds of financial distress. These include financial statement analysis, different types of price predictions, earning estimates, analysis consensus, and basic intrinsic valuation. Please use the options below to get a better understanding of different measures that drive the calculation of Green Plains Partners financial health.
The Probability of Bankruptcy SHOULD NOT be confused with the actual chance of a company to file for chapter 7, 11, 12, or 13 bankruptcy protection. Macroaxis simply defines Financial Distress as an operational condition where a company is having difficulty meeting its current financial obligations towards its creditors or delivering on the expectations of its investors. Macroaxis derives these conditions daily from both public financial statements as well as analysis of stock prices reacting to market conditions or economic downturns, including short-term and long-term historical volatility. Other factors taken into account include analysis of liquidity, revenue patterns, R&D expenses, and commitments, as well as public headlines and social sentiment.
CompetitionBased on the latest financial disclosure, Green Plains Partners has a Probability Of Bankruptcy of 100%. This is 107.38% higher than that of the Oil, Gas & Consumable Fuels sector and 99.8% higher than that of the Energy industry. The probability of bankruptcy for all United States stocks is 151.07% lower than that of the firm.
Green Probability Of Bankruptcy Peer Comparison
Stock peer comparison is one of the most widely used and accepted methods of equity analyses. It analyses Green Plains' direct or indirect competition against its Probability Of Bankruptcy to detect undervalued stocks with similar characteristics or determine the stocks which would be a good addition to a portfolio. Peer analysis of Green Plains could also be used in its relative valuation, which is a method of valuing Green Plains by comparing valuation metrics of similar companies.Green Plains is currently under evaluation in probability of bankruptcy category among its peers.
Green Fundamentals
| Return On Equity | 0.99 | |||
| Return On Asset | 0.25 | |||
| Profit Margin | 0.46 % | |||
| Operating Margin | 0.58 % | |||
| Current Valuation | 373.34 M | |||
| Shares Outstanding | 23.26 M | |||
| Shares Owned By Insiders | 50.81 % | |||
| Shares Owned By Institutions | 23.34 % | |||
| Number Of Shares Shorted | 203.92 K | |||
| Price To Earning | 7.96 X | |||
| Price To Book | 151.70 X | |||
| Price To Sales | 3.48 X | |||
| Revenue | 82.39 M | |||
| Gross Profit | 54.61 M | |||
| EBITDA | 49.73 M | |||
| Net Income | 38.28 M | |||
| Cash And Equivalents | 16.53 M | |||
| Cash Per Share | 0.71 X | |||
| Total Debt | 106.88 M | |||
| Current Ratio | 1.42 X | |||
| Book Value Per Share | (0.05) X | |||
| Cash Flow From Operations | 46.18 M | |||
| Short Ratio | 1.89 X | |||
| Earnings Per Share | 1.62 X | |||
| Price To Earnings To Growth | 0.49 X | |||
| Target Price | 16.0 | |||
| Number Of Employees | 45 | |||
| Beta | 0.75 | |||
| Market Capitalization | 286.39 M | |||
| Total Asset | 121.42 M | |||
| Retained Earnings | 99.85 M | |||
| Working Capital | 8.9 M | |||
| Current Asset | 33.92 M | |||
| Current Liabilities | 13.6 M | |||
| Z Score | 4.88 | |||
| Annual Yield | 0.15 % | |||
| Five Year Return | 10.59 % | |||
| Net Asset | 121.42 M | |||
| Last Dividend Paid | 1.82 |
About Green Plains Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze Green Plains Partners's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Green Plains using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Green Plains Partners 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 Green Plains
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 Green Plains 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 Green Plains will appreciate offsetting losses from the drop in the long position's value.Moving together with Green Stock
Moving against Green Stock
| 0.69 | KO | Coca Cola Aggressive Push | PairCorr |
| 0.67 | JNJ | Johnson Johnson Sell-off Trend | PairCorr |
| 0.63 | BCH | Banco De Chile | PairCorr |
| 0.5 | SHG | Shinhan Financial | PairCorr |
| 0.47 | BA | Boeing Fiscal Year End 29th of January 2025 | PairCorr |
The ability to find closely correlated positions to Green Plains could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Green Plains 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 Green Plains - 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 Green Plains Partners to buy it.
The correlation of Green Plains 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 Green Plains moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Green Plains Partners 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 Green Plains 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 Risk vs Return Analysis to better understand how to build diversified portfolios. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in american community survey. You can also try the Portfolio Diagnostics module to use generated alerts and portfolio events aggregator to diagnose current holdings.
Other Consideration for investing in Green Stock
If you are still planning to invest in Green Plains Partners 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 Green Plains' history and understand the potential risks before investing.
| Investing Opportunities Build portfolios using our predefined set of ideas and optimize them against your investing preferences | |
| Portfolio Analyzer Portfolio analysis module that provides access to portfolio diagnostics and optimization engine | |
| Latest Portfolios Quick portfolio dashboard that showcases your latest portfolios | |
| Premium Stories Follow Macroaxis premium stories from verified contributors across different equity types, categories and coverage scope | |
| FinTech Suite Use AI to screen and filter profitable investment opportunities | |
| Share Portfolio Track or share privately all of your investments from the convenience of any device | |
| Global Correlations Find global opportunities by holding instruments from different markets | |
| Portfolio Suggestion Get suggestions outside of your existing asset allocation including your own model portfolios | |
| Watchlist Optimization Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm |