Green Plains Renewable Stock Analysis

Green Stock Analysis Notes

About 100.0% of the company shares are owned by institutional investors. The company has price-to-book (P/B) ratio of 1.41. Some equities with similar Price to Book (P/B) outperform the market in the long run. Green Plains Renewable recorded a loss per share of 1.89. The entity last dividend was issued on the 23rd of May 2019. Green Plains Inc. produces, markets, and distributes ethanol in the United States and internationally. Green Plains Inc. was founded in 2004 and is headquartered in Omaha, Nebraska. Green Plains operates under Chemicals classification in the United States and is traded on NASDAQ Exchange. It employs 859 people. To learn more about Green Plains Renewable call Todd Becker at 402 884 8700 or check out https://www.gpreinc.com.

Green Plains Renewable Investment Alerts

Green Largest EPS Surprises

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Green Plains Environmental, Social, and Governance (ESG) Scores

Green Stock Institutional Investors

Note, although Green Plains' institutional investors appear to be way more sophisticated than retail investors, it remains unclear if professional active investment managers can reliably enhance risk-adjusted returns by an amount that exceeds fees and expenses.

Green Market Capitalization

The company currently falls under 'Mid-Cap' category with a current market capitalization of 1.08 B.

Green Profitablity

The company has Profit Margin (PM) of (0.06) %, which may suggest that it does not properly executes on its current pricing strategies or is unable to control all of the operational costs. This is way below average. Similarly, it shows Operating Margin (OM) of (0.01) %, which suggests for every $100 dollars of sales, it generated a net operating loss of $0.01.

Management Efficiency

Green Plains Renewable has return on total asset (ROA) of (0.0302) % which means that it has lost $0.0302 on every $100 spent on assets. This is way below average. Similarly, it shows a return on stockholder's equity (ROE) of (0.147) %, meaning that it created substantial loss on money invested by shareholders. Green Plains' management efficiency ratios could be used to measure how well Green Plains manages its routine affairs as well as how well it operates its assets and liabilities. The current year's Return On Tangible Assets is expected to grow to -0.07. The current year's Return On Capital Employed is expected to grow to -0.06. At present, Green Plains' Other Current Assets are projected to increase significantly based on the last few years of reporting. The current year's Total Current Assets is expected to grow to about 695.5 M, whereas Other Assets are forecasted to decline to about 29.9 M.

Technical Drivers

As of the 11th of February 2026, Green Plains retains the Risk Adjusted Performance of 0.1939, market risk adjusted performance of 0.8363, and Downside Deviation of 2.77. Green Plains technical analysis makes it possible for you to employ historical prices and volume momentum with the intention to determine a pattern that calculates the direction of the firm's future prices. Please check out Green Plains Renewable treynor ratio, and the relationship between the standard deviation and downside variance to decide if Green Plains is priced fairly, providing market reflects its last-minute price of 15.5 per share. Given that Green Plains Renewable has jensen alpha of 0.6818, we strongly advise you to confirm Green Plains Renewable's regular market performance to make sure the company can sustain itself at a future point.

Green Plains Renewable Price Movement Analysis

Green Plains Renewable Insider Trading Activities

Green Plains Outstanding Bonds

Green Plains Predictive Daily Indicators

Green Plains Corporate Filings

Green Plains Forecast Models

Green Plains' time-series forecasting models are one of many Green Plains' 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 Green Plains' 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.

Green Plains Bond Ratings

Green Plains Renewable financial ratings play a critical role in determining how much Green Plains have to pay to access credit markets, i.e., the amount of interest on their issued debt. The threshold between investment-grade and speculative-grade ratings has important market implications for Green Plains' borrowing costs.

Green Plains Renewable Debt to Cash Allocation

Green Plains Renewable currently holds 508.35 M in liabilities with Debt to Equity (D/E) ratio of 0.9, which is about average as compared to similar companies. Green Plains Renewable has a current ratio of 1.75, which is within standard range for the sector. Note, when we think about Green Plains' use of debt, we should always consider it together with its cash and equity.

Green Plains Common Stock Shares Outstanding Over Time

Green Plains Assets Financed by Debt

The debt-to-assets ratio shows the degree to which Green Plains uses debt to finance its assets. It includes both long-term and short-term borrowings maturing within one year. It also includes both tangible and intangible assets, such as goodwill.

Green Plains Debt Ratio

27.0

It looks as if most of the Green Plains' assets are financed through equity. Typically, companies with high debt-to-asset ratios are said to be highly leveraged. The higher the ratio, the greater risk will be associated with the Green Plains' operation. In addition, a high debt-to-assets ratio may indicate a low borrowing capacity of Green Plains, which in turn will lower the firm's financial flexibility.

Green Plains Corporate Bonds Issued

Green Net Debt

Stock analysis is the technique used by a trader or investor to examine and evaluate how Green Plains 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 Green 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 Green Plains. By using and applying Green Stock analysis, traders can create a robust methodology for identifying Green entry and exit points for their positions.

We track the performance of the top 100 financial experts across various large and mid-size financial boutiques. Green analyst recommendations are determined by taking all analyst recommendations and averaging them as Strong Buy, Buy, Hold, Strong Sell or Sell. There is no one specific way to measure analysis performance other than comparing it to the past results via a very sophisticated attribution analysis. Green analyst consensus and target price projections should be used in combination with other traditional techniques such as stock price forecasting, technical analysis, earnings estimate, and various momentum models.

Green Plains Renewable stock analysis indicators help investors evaluate how Green Plains stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing and determine when trading Green Plains shares will generate the highest return on investment. By understating and applying Green Plains stock analysis, traders can identify Green Plains position entry and exit signals to maximize returns.

When running Green Plains' price analysis, check to measure Green Plains' 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 Green Plains is operating at the current time. Most of Green Plains' value examination focuses on studying past and present price action to predict the probability of Green Plains' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Green Plains' price. Additionally, you may evaluate how the addition of Green Plains to your portfolios can decrease your overall portfolio volatility.