Forestar Group Stock Piotroski F Score

FOR Stock  USD 28.72  0.56  1.99%   
This module uses fundamental data of Forestar to approximate its Piotroski F score. Forestar F Score is determined by combining nine binary scores representing 3 distinct fundamental categories of Forestar Group. 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 Forestar financial position does not get reflected in the current market share price suggesting a possibility of arbitrage. Check out Forestar Altman Z Score, Forestar Correlation, Forestar Valuation, as well as analyze Forestar Alpha and Beta and Forestar Hype Analysis.
  
Build AI portfolio with Forestar Stock
At this time, Forestar's Short and Long Term Debt Total is relatively stable compared to the past year. As of 09/06/2025, Long Term Debt is likely to grow to about 853 M, while Long Term Debt Total is likely to drop slightly above 483.8 M. At this time, Forestar's PE Ratio is relatively stable compared to the past year. As of 09/06/2025, Tangible Book Value Per Share is likely to grow to 18.75, while Days Sales Outstanding is likely to drop 4.08.
At this time, it appears that Forestar'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

Positive

Focus
Change in Return on Assets

Increased

Focus
Cash Flow Return on Assets

Negative

Focus
Current Quality of Earnings (accrual)

Decreasing

Focus
Asset Turnover Growth

Increase

Focus
Current Ratio Change

Decrease

Focus
Long Term Debt Over Assets Change

Higher Leverage

Focus
Change In Outstending Shares

Decrease

Focus
Change in Gross Margin

No Change

Focus

Forestar Piotroski F Score Drivers

The critical factor to consider when applying the Piotroski F Score to Forestar is to make sure Forestar is not a subject of accounting manipulations and runs a healthy internal audit department. So, if Forestar'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 Forestar's financial numbers are properly reported.
Current ValueLast YearChange From Last Year 10 Year Trend
Asset Turnover0.250.15
Way Up
Slightly volatile
Total Current Liabilities549.7 M523.5 M
Sufficiently Up
Slightly volatile
Non Current Liabilities Total953.7 M908.3 M
Sufficiently Up
Slightly volatile
Total Assets3.4 B3.3 B
Sufficiently Up
Slightly volatile
Total Current Assets406.5 M611.5 M
Way Down
Slightly volatile

Forestar Group 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 Forestar's different financial indicators related to revenue, expenses, operating profit, and net earnings helps investors identify and prioritize their investing strategies towards Forestar in a much-optimized way.

About Forestar 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.

Common Stock Shares Outstanding

44.39 Million

At this time, Forestar's Common Stock Shares Outstanding is relatively stable compared to the past year.

Forestar Current Valuation Drivers

We derive many important indicators used in calculating different scores of Forestar from analyzing Forestar's financial statements. These drivers represent accounts that assess Forestar's ability to generate profits relative to its revenue, operating costs, and shareholders' equity. Below are some of Forestar's important valuation drivers and their relationship over time.
202020212022202320242025 (projected)
Market Cap850.3M911.0M557.5M1.3B1.6B704.9M
Enterprise Value1.1B1.5B998.7M1.4B1.9B872.2M

Forestar ESG Sustainability

Some studies have found that companies with high sustainability scores are getting higher valuations than competitors with lower social-engagement activities. While most ESG disclosures are voluntary and do not directly affect the long term financial condition, Forestar's sustainability indicators can be used to identify proper investment strategies using environmental, social, and governance scores that are crucial to Forestar's managers, analysts, and investors.
Environmental
Governance
Social

About Forestar Fundamental Analysis

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

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 Forestar 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 Forestar will appreciate offsetting losses from the drop in the long position's value.

Moving together with Forestar Stock

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Moving against Forestar Stock

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The ability to find closely correlated positions to Forestar could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Forestar 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 Forestar - 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 Forestar Group to buy it.
The correlation of Forestar 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 Forestar moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Forestar Group 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 Forestar 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.
Pair CorrelationCorrelation Matching

Additional Tools for Forestar Stock Analysis

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