Green Plains Stock Beneish M Score

G3V Stock   4.73  0.12  2.60%   
This module uses fundamental data of GREEN PLAINS to approximate the value of its Beneish M Score. GREEN PLAINS M Score tells investors if the company management is likely to be manipulating earnings. The score is calculated using eight financial indicators that are adjusted by a specific multiplier. Please note, the M Score is a probabilistic model and cannot detect companies that manipulate their earnings with 100% accuracy. Check out Risk vs Return Analysis to better understand how to build diversified portfolios, which includes a position in GREEN PLAINS. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in state.
  
At this time, GREEN PLAINS's M Score is inapplicable. The earnings manipulation may begin if GREEN PLAINS's top management creates an artificial sense of financial success, forcing the stock price to be traded at a high price-earnings multiple than it should be. In general, excessive earnings management by GREEN PLAINS executives may lead to removing some of the operating profits from subsequent periods to inflate earnings in the following periods. This way, the manipulation of GREEN PLAINS's earnings can lead to misrepresentations of actual financial condition, taking the otherwise loyal stakeholders on to the path of questionable ethical practices and plain fraud.
-4.84
Beneish M Score - Inapplicable
Elasticity of Receivables

N/A

Focus
Asset Quality

N/A

Focus
Expense Coverage

N/A

Focus
Gross Margin Strengs

N/A

Focus
Accruals Factor

N/A

Focus
Depreciation Resistance

N/A

Focus
Net Sales Growth

N/A

Focus
Financial Leverage Condition

N/A

Focus

Did you try this?

Run Earnings Calls Now

   

Earnings Calls

Check upcoming earnings announcements updated hourly across public exchanges
All  Next Launch Module

About GREEN PLAINS Fundamental Analysis

The Macroaxis Fundamental Analysis modules help investors analyze GREEN PLAINS'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 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.

Thematic Opportunities

Explore Investment Opportunities

Build portfolios using Macroaxis predefined set of investing ideas. Many of Macroaxis investing ideas can easily outperform a given market. Ideas can also be optimized per your risk profile before portfolio origination is invoked. Macroaxis thematic optimization helps investors identify companies most likely to benefit from changes or shifts in various micro-economic or local macro-level trends. Originating optimal thematic portfolios involves aligning investors' personal views, ideas, and beliefs with their actual investments.
Explore Investing Ideas  

Additional Tools for GREEN Stock Analysis

When running GREEN PLAINS's price analysis, check to measure GREEN PLAINS's 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's value examination focuses on studying past and present price action to predict the probability of GREEN PLAINS's 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's price. Additionally, you may evaluate how the addition of GREEN PLAINS to your portfolios can decrease your overall portfolio volatility.