Expand Energy Stock Piotroski F Score

EXEEZ Stock   85.22  10.49  14.04%   
This module uses fundamental data of Expand Energy to approximate its Piotroski F score. Expand Energy F Score is determined by combining nine binary scores representing 3 distinct fundamental categories of Expand Energy. These three categories are profitability, efficiency, and funding. Some research analysts and sophisticated value traders use Piotroski F Score to find opportunities outside of the conventional market and financial statement analysis.They believe that some of the new information about Expand Energy financial position does not get reflected in the current market share price suggesting a possibility of arbitrage. Check out Expand Energy Altman Z Score, Expand Energy Correlation, Expand Energy Valuation, as well as analyze Expand Energy Alpha and Beta and Expand Energy Hype Analysis.
For more information on how to buy Expand Stock please use our How to Invest in Expand Energy guide.
  
Net Debt is likely to rise to about 1.4 B in 2024, whereas Short and Long Term Debt is likely to drop slightly above 1.5 B in 2024.
At this time, it appears that Expand Energy's Piotroski F Score is Poor. Although some professional money managers and academia have recently criticized Piotroski F-Score model, we still consider it an effective method of predicting the state of the financial strength of any organization that is not predisposed to accounting gimmicks and manipulations. Using this score on the criteria to originate an efficient long-term portfolio can help investors filter out the purely speculative stocks or equities playing fundamental games by manipulating their earnings..
4.0
Piotroski F Score - Poor
Current Return On Assets

N/A

Focus
Change in Return on Assets

N/A

Focus
Cash Flow Return on Assets

Positive

Focus
Current Quality of Earnings (accrual)

Improving

Focus
Asset Turnover Growth

N/A

Focus
Current Ratio Change

N/A

Focus
Long Term Debt Over Assets Change

Lower Leverage

Focus
Change In Outstending Shares

Decrease

Focus
Change in Gross Margin

N/A

Focus

Expand Energy Piotroski F Score Drivers

The critical factor to consider when applying the Piotroski F Score to Expand Energy is to make sure Expand is not a subject of accounting manipulations and runs a healthy internal audit department. So, if Expand Energy's auditors report directly to the board (not management), the managers will be reluctant to manipulate simply due to the fear of punishment. On the other hand, the auditors will be free to investigate the ledgers properly because they know that the board has their back. Below are the main accounts that are used in the Piotroski F Score model. By analyzing the historical trends of the mains drivers, investors can determine if Expand Energy's financial numbers are properly reported.
Current ValueLast YearChange From Last Year 10 Year Trend
Net Debt1.4 B949 M
Way Up
Very volatile
Total Current Liabilities1.9 B1.3 B
Way Up
Slightly volatile
Non Current Liabilities Total3.5 B2.3 B
Way Up
Slightly volatile
Total Assets13 B14.4 B
Moderately Down
Slightly volatile
Total Current Assets2.3 B2.6 B
Moderately Down
Slightly volatile
Total Cash From Operating Activities2.6 B2.4 B
Notably Up
Slightly volatile

Expand Energy F Score Driver Matrix

One of the toughest challenges investors face today is learning how to quickly synthesize historical financial statements and information provided by the company, SEC reporting, and various external parties in order to project the various growth rates. Understanding the correlation between Expand Energy's different financial indicators related to revenue, expenses, operating profit, and net earnings helps investors identify and prioritize their investing strategies towards Expand Energy in a much-optimized way.

About Expand Energy Piotroski F Score

F-Score is one of many stock grading techniques developed by Joseph Piotroski, a professor of accounting at the Stanford University Graduate School of Business. It was published in 2002 under the paper titled Value Investing: The Use of Historical Financial Statement Information to Separate Winners from Losers. Piotroski F Score is based on binary analysis strategy in which stocks are given one point for passing 9 very simple fundamental tests, and zero point otherwise. According to Mr. Piotroski's analysis, his F-Score binary model can help to predict the performance of low price-to-book stocks.

Net Debt

1.39 Billion

At this time, Expand Energy's Net Debt is fairly stable compared to the past year.

About Expand Energy Fundamental Analysis

The Macroaxis Fundamental Analysis modules help investors analyze Expand Energy's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Expand Energy using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Expand Energy 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.

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Additional Tools for Expand Stock Analysis

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