| KFY Stock | | | USD 78.19 1.21 1.52% |
This module uses fundamental data of Korn Ferry to approximate its Piotroski F score. Korn Ferry F Score is determined by combining nine binary scores representing 3 distinct fundamental categories of Korn Ferry. 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 Korn Ferry financial position does not get reflected in the current market share price suggesting a possibility of arbitrage. Check out
Korn Ferry Altman Z Score,
Korn Ferry Correlation,
Korn Ferry Valuation, as well as analyze
Korn Ferry Alpha and Beta and
Korn Ferry Hype Analysis.
For more information on how to buy Korn Stock please use our
How to Invest in Korn Ferry guide.
At this time, Korn Ferry's
Short and Long Term Debt Total is fairly stable compared to the past year.
Long Term Debt is likely to rise to about 416.8
M in 2024, despite the fact that
Net Debt is likely to grow to (342.7
M). At this time, Korn Ferry's
Capex To Revenue is fairly stable compared to the past year.
Cash Per Share is likely to rise to 20.24 in 2024, whereas
Price To Sales Ratio is likely to drop 0.95 in 2024.
At this time, it appears that Korn Ferry's Piotroski F Score is Healthy. 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..
6.0
Piotroski F Score - Healthy
| Change in Return on Assets | |
| Cash Flow Return on Assets | |
| Current Quality of Earnings (accrual) | |
| Long Term Debt Over Assets Change | Higher Leverage| Focus | |
| Change In Outstending Shares | |
Korn Ferry Piotroski F Score Drivers
The critical factor to consider when applying the Piotroski F Score to Korn Ferry is to make sure Korn is not a subject of accounting manipulations and runs a healthy internal audit department. So, if Korn Ferry'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 Korn Ferry's financial numbers are properly reported.
Korn Ferry 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 Korn Ferry's different financial indicators related to revenue, expenses, operating profit, and net earnings helps investors identify and prioritize their investing strategies towards Korn Ferry in a much-optimized way.
Click cells to compare fundamentals
About Korn Ferry 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.
Korn Ferry 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, Korn Ferry's sustainability indicators can be used to identify proper investment strategies using environmental, social, and governance scores that are crucial to Korn Ferry's managers, analysts, and investors.
About Korn Ferry Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze Korn Ferry's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Korn Ferry using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at
the intrinsic value of Korn Ferry 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 Korn Stock Analysis
When running Korn Ferry's price analysis, check to
measure Korn Ferry'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 Korn Ferry is operating at the current time. Most of Korn Ferry's value examination focuses on studying past and present price action to
predict the probability of Korn Ferry's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Korn Ferry's price. Additionally, you may evaluate how the addition of Korn Ferry to your portfolios can decrease your overall portfolio volatility.