Cognyte Z Score

CGNT
 Stock
  

USD 2.95  0.18  5.75%   

Altman Z Score is one of the simplest fundamental models to determine how likely your company is to fail. The module uses available fundamental data of a given equity to approximate the Altman Z score. Altman Z Score is determined by evaluating five fundamental price points available from the company's current public disclosure documents. Continue to Cognyte Software Piotroski F Score and Cognyte Software Valuation analysis.
  

Cognyte Z Score Analysis

Cognyte Software's Z-Score is a simple linear, multi-factor model that measures the financial health and economic stability of a company. The score is used to predict the probability of a firm going into bankruptcy within next 24 months or two fiscal years from the day stated on the accounting statements used to calculate it. The model uses five fundamental business ratios that are weighted according to algorithm of Professor Edward Altman who developed it in the late 1960s at New York University..
Z Score 
 = 
Sum Of  
 
5 Factors 
More About Z Score | All Equity Analysis

Current Cognyte Software Z Score

    
  40.53  
Most of Cognyte Software's fundamental indicators, such as Z Score, are part of a valuation analysis module that helps investors searching for stocks that are currently trading at higher or lower prices than their real value. If the real value is higher than the market price, Cognyte Software is considered to be undervalued, and we provide a buy recommendation. Otherwise, we render a sell signal.
First Factor
 = 
1.2 * (
Working Capital
/
Total Assets )
Second Factor
 = 
1.4 * (
Retained Earnings
/
Total Assets )
Thrid Factor
 = 
3.3 * (
EBITAD
/
Total Assets )
Fouth Factor
 = 
0.6 * (
Market Value of Equity
/
Total Liabilities )
Fifth Factor
 = 
0.99 * (
Revenue
/
Total Assets )
To calculate Z-Score one would need to know current working capital of the company, its total assets, and liabilities, amount of latest retained earnings as well as earnings before interest and tax. Z-Score can be used to compare the odds of bankruptcy of companies in a similar line of business or firms operating in the same industry. Companies with Z-Scores above 3.1 are generally considered to be stable and healthy with a low probability of bankruptcy. Scores that fall between 1.8 and 3.1 lie in a so-called 'grey area' with scores of less than 1, indicating the high probability of distress. Z Score is used widely by financial auditors, accountants, money managers, loan processers, wealth advisers, as well as day traders. In the last 25 years, many financial models that utilize z score has been proved to be successful as a predictor of corporate bankruptcy.
Compare to competition
In accordance with the company's disclosures, Cognyte Software has a Z Score of 40.53. This is 201.34% higher than that of the sector and significantly higher than that of the Z Score industry. The z score for all United States stocks is notably lower than that of the firm.

Cognyte Z Score Peer Comparison

Stock peer comparison is one of the most widely used and accepted methods of equity analyses. It analyses Cognyte Software's direct or indirect competition against its Z Score to detect undervalued stocks with similar characteristics or determine the stocks which would be a good addition to a portfolio. Peer analysis of Cognyte Software could also be used in its relative valuation, which is a method of valuing Cognyte Software by comparing valuation metrics of similar companies.
Cognyte Software is currently under evaluation in z score category among related companies.

Cognyte Software Institutional Holders

Institutional Holdings refers to the ownership stake in Cognyte Software that is held by large financial organizations, pension funds or endowments. Institutions may purchase large blocks of Cognyte Software's outstanding shares and can exert considerable influence upon its management. Institutional holders may also work to push the share price higher once they own the stock. Extensive social media coverage, TV shows, articles in high-profile magazines, and presentations at investor conferences help move the stock higher, increasing Cognyte Software's value.
Security TypeSharesValue
Zurcher Kantonalbank Zurich CantonalbankCommon Shares13.7 K58 K
Zurcher Kantonalbank Zurich CantonalbankCommon Shares13.7 K155 K
Zurcher Kantonalbank Zurich CantonalbankCommon Shares14.1 K220 K
Zurcher Kantonalbank Zurich CantonalbankCommon Shares13.7 K282 K
Zurcher Kantonalbank Zurich CantonalbankCommon Shares13.7 K337 K
Zurcher Kantonalbank Zurich CantonalbankCommon Shares7.4 K206 K
Yintercept Hong Kong LtdCommon Shares16.6 K408 K

Cognyte Fundamentals

About Cognyte Software Fundamental Analysis

The Macroaxis Fundamental Analysis modules help investors analyze Cognyte Software's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Cognyte Software using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Cognyte Software 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.
Cognyte Software Ltd. provides an investigative analytics software to governments and enterprises worldwide. The company was incorporated in 2020 and is headquartered in Herzliya, Israel. Cognyte Software operates under SoftwareInfrastructure classification in the United States and is traded on NASDAQ Exchange. It employs 2002 people.

Cognyte Software Investors Sentiment

The influence of Cognyte Software's 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 Cognyte. 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 markets does not have a solid backing from leading economists and market statisticians.
Investor biases related to Cognyte Software's public news can be used to forecast risks associated with investment in Cognyte. The trend in average sentiment can be used to explain how an investor holding Cognyte can time the market purely based on public headlines and social activities around Cognyte Software. Please note that most equiteis that are difficult to arbitrage are affected by market sentiment the most.
Cognyte Software's 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 Cognyte Software's 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 Cognyte Software's news discussions. The higher the estimated score, the more favorable is the investor's outlook on Cognyte Software.
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 Cognyte Software 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, Cognyte Software's short interest history, or implied volatility extrapolated from Cognyte Software options trading.

Pair Trading with Cognyte Software

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

Moving together with Cognyte Software

+0.84LENLennar Corp Fiscal Year End 21st of December 2022 PairCorr

Moving against Cognyte Software

-0.75AZPNAspen Technology Downward RallyPairCorr
-0.69APAApa Corp Potential GrowthPairCorr
-0.69AZOAutozone Earnings Call  Next WeekPairCorr
The ability to find closely correlated positions to Cognyte Software could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Cognyte Software 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 Cognyte Software - 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 Cognyte Software to buy it.
The correlation of Cognyte Software 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 Cognyte Software moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Cognyte Software 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 Cognyte Software 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
Continue to Cognyte Software Piotroski F Score and Cognyte Software Valuation analysis. You can also try Equity Analysis module to research over 250,000 global equities including funds, stocks and ETFs to find investment opportunities.

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Is Cognyte Software's 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 Cognyte Software. If investors know Cognyte 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 Cognyte Software 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 YOY
(0.75) 
Market Capitalization
212.4 M
Quarterly Revenue Growth YOY
(0.30) 
Return On Assets
(0.06) 
Return On Equity
(0.24) 
The market value of Cognyte Software is measured differently than its book value, which is the value of Cognyte that is recorded on the company's balance sheet. Investors also form their own opinion of Cognyte Software's value that differs from its market value or its book value, called intrinsic value, which is Cognyte Software's 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 Cognyte Software's market value can be influenced by many factors that don't directly affect Cognyte Software's 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 Cognyte Software's value and its price as these two are different measures arrived at by different means. Investors typically determine Cognyte Software value by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Cognyte Software's 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.