| GPTHEALTH | | | 179.26 0.35 0.20% |
This module uses fundamental data of GPT Healthcare to approximate its Piotroski F score. GPT Healthcare F Score is determined by combining nine binary scores representing 3 distinct fundamental categories of GPT Healthcare. 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 GPT Healthcare financial position does not get reflected in the current market share price suggesting a possibility of arbitrage. Check out
Risk vs Return Analysis to better understand how to build diversified portfolios, which includes a position in GPT Healthcare. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as
signals in income.
Short Term Debt is expected to rise to about 163.1
M this year, although the value of
Short and Long Term Debt Total will most likely fall to about 261.1
M.
At this time, it appears that GPT Healthcare's Piotroski F Score is Inapplicable. 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 - Inapplicable
| Change in Return on Assets | |
| Cash Flow Return on Assets | |
| Current Quality of Earnings (accrual) | |
| Long Term Debt Over Assets Change | |
| Change In Outstending Shares | |
GPT Healthcare Piotroski F Score Drivers
The critical factor to consider when applying the Piotroski F Score to GPT Healthcare is to make sure GPT is not a subject of accounting manipulations and runs a healthy internal audit department. So, if GPT Healthcare'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 GPT Healthcare's financial numbers are properly reported.
GPT Healthcare 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 GPT Healthcare's different financial indicators related to revenue, expenses, operating profit, and net earnings helps investors identify and prioritize their investing strategies towards GPT Healthcare in a much-optimized way.
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About GPT Healthcare 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.
About GPT Healthcare Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze GPT Healthcare's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of GPT Healthcare using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at
the intrinsic value of GPT Healthcare 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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Other Information on Investing in GPT Stock
GPT Healthcare financial ratios help investors to determine whether GPT Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in GPT with respect to the benefits of owning GPT Healthcare security.