Agilysys Piotroski F Score

AGYS Stock  USD 66.36  1.03  1.53%   
This module uses fundamental data of Agilysys to approximate its Piotroski F score. Agilysys F Score is determined by combining nine binary scores representing 3 distinct fundamental categories of Agilysys. 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 Agilysys financial position does not get reflected in the current market share price suggesting a possibility of arbitrage. Check out Agilysys Altman Z Score, Agilysys Correlation, Agilysys Valuation, as well as analyze Agilysys Alpha and Beta and Agilysys Hype Analysis. For more information on how to buy Agilysys Stock please use our How to Invest in Agilysys guide.
Agilysys Total Debt is comparatively stable at the moment as compared to the past year. Agilysys reported Total Debt of 16.74 Million in 2022. Debt Non Current is likely to gain to about 14.5 M in 2023, whereas Debt Current is likely to drop slightly above 2.7 M in 2023. Agilysys Net Current Assets as percentage of Total Assets are comparatively stable at the moment as compared to the past year. Agilysys reported Net Current Assets as percentage of Total Assets of 31.33 in 2022. Asset Turnover is likely to gain to 0.88 in 2023, whereas Receivables Turnover is likely to drop 6.31 in 2023.
At this time, it appears that Agilysys' 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..
Piotroski F Score - Healthy
Current Return On AssetsPositiveFocus
Change in Return on AssetsIncreasedFocus
Cash Flow Return on AssetsPositiveFocus
Current Quality of Earnings (accrual)ImprovingFocus
Asset Turnover GrowthIncreaseFocus
Current Ratio ChangeDecreaseFocus
Long Term Debt Over Assets ChangeHigher LeverageFocus
Change In Outstending SharesIncreaseFocus
Change in Gross MarginIncreaseFocus

Agilysys Piotroski F Score Drivers

The critical factor to consider when applying the Piotroski F Score to Agilysys is to make sure Agilysys is not a subject of accounting manipulations and runs a healthy internal audit department. So, if Agilysys' 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 Agilysys' financial numbers are properly reported.
Current ValueLast YearChange From Last Year 10 Year Trend
Weighted Average Shares Diluted27.1 M25.9 M
Sufficiently Up
Slightly volatile
Weighted Average Shares26.3 M24.7 M
Notably Up
Slightly volatile
Return on Average Assets0.05940.055
Significantly Up
Very volatile
Net Cash Flow from Operations37.2 M34.5 M
Significantly Up
Slightly volatile
Current Liabilities75.9 M78.5 M
Sufficiently Down
Pretty Stable
Total Liabilities116.1 M133.7 M
Fairly Down
Slightly volatile
Gross Margin0.650.61
Notably Up
Very volatile
Total Debt18.1 M16.7 M
Significantly Up
Slightly volatile
Asset Turnover0.880.862
Fairly Up
Slightly volatile
Current Assets145.1 M154.7 M
Notably Down
Very volatile
Total Assets235.5 M243 M
Sufficiently Down
Slightly volatile

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

About Agilysys 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.

Book Value per Share


Agilysys Book Value per Share is comparatively stable at the moment as compared to the past year. Agilysys reported Book Value per Share of 4.43 in 2022

Agilysys Current Valuation Drivers

We derive many important indicators used in calculating different scores of Agilysys from analyzing Agilysys' financial statements. These drivers represent accounts that assess Agilysys' ability to generate profits relative to its revenue, operating costs, and shareholders' equity. Below are some of Agilysys' important valuation drivers and their relationship over time.
201820192020202120222023 (projected)
Net Income Per Employee(14.06 K)(26.65 K)(15.56 K)4.63 K9.11 K9.83 K
Revenue Per Employee150.47 K125.74 K101.61 K116.17 K123.79 K127.05 K
Average Assets161.72 M164.41 M182.22 M198.52 M229.68 M226.07 M
Earnings Before Interest Taxes and Depreciation Amortization EBITDA(7.86 M)(28.74 M)(16.4 M)10.39 M19.28 M20.8 M
Earnings Before Interest Taxes and Depreciation Amortization USD(7.86 M)(28.74 M)(16.4 M)10.39 M19.28 M20.8 M
Earnings before Tax(12.94 M)(33.87 M)(21.21 M)6.51 M15.76 M17.01 M
Average Equity105.36 M91.75 M77.73 M90.49 M107.27 M102.23 M
Enterprise Value461.33 M367.26 M1.06 B881.21 M1.99 B2.15 B
Free Cash Flow1.73 M7.16 M27.02 M27.28 M27.23 M29.37 M
Invested Capital2.44 M25.85 M15.15 M3.49 M17.64 M19.04 M
Invested Capital Average5.73 M29.45 M25.04 M8.89 M18.7 M16.06 M
Market Capitalization498.24 M395.07 M1.13 B985.61 M2.08 B2.24 B
Tangible Asset Value100.96 M126.54 M161.85 M161.22 M192.26 M178.36 M
Working Capital21.19 M23.98 M72.09 M64.71 M76.14 M61.29 M

About Agilysys Fundamental Analysis

The Macroaxis Fundamental Analysis modules help investors analyze Agilysys's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Agilysys using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Agilysys 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.
Agilysys, Inc., together with its subsidiaries, operates as a developer and marketer of hardware and software products and services to the hospitality industry in North America, Europe, the Asia-Pacific, and India. Agilysys, Inc. was founded in 1932 and is headquartered in Alpharetta, Georgia. Agilysys operates under SoftwareApplication classification in the United States and is traded on NASDAQ Exchange. It employs 1400 people.

Agilysys Investors Sentiment

The influence of Agilysys' investor sentiment on the probability of its price appreciation or decline could be a good factor in your decision-making process regarding taking a position in Agilysys. The overall investor sentiment generally increases the direction of a stock movement in a one-year investment horizon. However, the impact of investor sentiment on the entire stock market does not have solid backing from leading economists and market statisticians.
Investor biases related to Agilysys' public news can be used to forecast risks associated with an investment in Agilysys. The trend in average sentiment can be used to explain how an investor holding Agilysys can time the market purely based on public headlines and social activities around Agilysys. Please note that most equities that are difficult to arbitrage are affected by market sentiment the most.
Agilysys' market sentiment shows the aggregated news analyzed to detect positive and negative mentions from the text and comments. The data is normalized to provide daily scores for Agilysys' and other traded tickers. The bigger the bubble, the more accurate is the estimated score. Higher bars for a given day show more participation in the average Agilysys' news discussions. The higher the estimated score, the more favorable is the investor's outlook on Agilysys.
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Agilysys in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Agilysys' short interest history, or implied volatility extrapolated from Agilysys options trading.

Pair Trading with Agilysys

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

Moving against Agilysys Stock

-0.55PALTPaltalk Fiscal Quarter End 30th of September 2023 PairCorr
The ability to find closely correlated positions to Agilysys could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Agilysys 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 Agilysys - 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 Agilysys to buy it.
The correlation of Agilysys is a statistical measure of how it moves in relation to other equities. 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 Agilysys moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Agilysys 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 Agilysys 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
Check out Agilysys Altman Z Score, Agilysys Correlation, Agilysys Valuation, as well as analyze Agilysys Alpha and Beta and Agilysys Hype Analysis. For more information on how to buy Agilysys Stock please use our How to Invest in Agilysys guide. You can also try the Fundamental Analysis module to view fundamental data based on most recent published financial statements.

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Is Agilysys' industry expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Agilysys. If investors know Agilysys will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Agilysys listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth
Earnings Share
Revenue Per Share
Quarterly Revenue Growth
Return On Assets
The market value of Agilysys is measured differently than its book value, which is the value of Agilysys that is recorded on the company's balance sheet. Investors also form their own opinion of Agilysys' value that differs from its market value or its book value, called intrinsic value, which is Agilysys' true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Agilysys' market value can be influenced by many factors that don't directly affect Agilysys' underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Agilysys' value and its price as these two are different measures arrived at by different means. Investors typically determine if Agilysys is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Agilysys' price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.