Mohanram G-Score is a financial indicator developed by professor Partha Mohanram to help investors find the best investment opportunities in the growth stocks. Companies have higher G-score tends to generate higher return. According to his study, the best growth stocks that have a G-Score greater than 6 tend to beat the market, while those with a G-Score lower than 1 tend to have negative absolute returns.
Thus, the zones of discrimination were as such:
Good or high score = 6, 7, 8
Bad or low score = 0, 1
CyberArk Software has an G-score of 7. It is a good or high score, which tends to beat the market.
The historical rank and industry rank for CyberArk Software's Mohanram G-Score or its related term are showing as below:
CYBR'
s Mohanram G-Score Range Over the Past 10 Years
Min: 4 Med: 5 Max: 7
Current: 7
During the past 13 years, the highest Piotroski G-score of CyberArk Software was 7. The lowest was 4. And the median was 5.
CyberArk Software Mohanram G-Score Historical Data
The historical data trend for CyberArk Software's Mohanram G-Score can be seen below:
* For Operating Data section: All numbers are indicated by the unit behind each term and all currency related amount are in USD. * For other sections: All numbers are in millions except for per share data, ratio, and percentage. All currency related amount are indicated in the company's associated stock exchange currency.
Competitive Comparison of CyberArk Software's Mohanram G-Score
For the Software - Infrastructure subindustry, CyberArk Software's Mohanram G-Score, along with its competitors' market caps and Mohanram G-Score data, can be viewed below:
* Competitive companies are chosen from companies within the same industry, with headquarter located in same country, with closest market capitalization; x-axis shows the market cap, and y-axis shows the term value; the bigger the dot, the larger the market cap. Note that "N/A" values will not show up in the chart.
CyberArk Software's Mohanram G-Score Distribution in the Software Industry
For the Software industry and Technology sector, CyberArk Software's Mohanram G-Score distribution charts can be found below:
* The bar in red indicates where CyberArk Software's Mohanram G-Score falls into.
CyberArk Software Mohanram G-Score Calculation
The calculation of the Mohanram G-score consists of eight criteria. Assign one point for each criterion met, then add up all the points to get the G-Score.
Profitability
Question 1. Return on Assets (ROA)
ROA % is calculated as Net Income divided by its average Total Assets over a certain period of time. It measures how well a company uses its asset to generate earnings.
Score 1 if ROA > ROA Industry Median, 0 otherwise.
Score 1 if CAPEX Intensity > CAPEX Intensity Industry Median, 0 otherwise.
Question 8. Advertising Expenditure Intensity
Advertising Expenditure Intensity is calcualted by Advertising Expenditure divided by the beginning Total Assets. Note that Advertising Expenditure is not reported as a seperate line item for many companies, thus Selling, General, & Admin. Expense is used in this calculation.
Score 1 if Advertising Expenditure Intensity > Advertising Expenditure Intensity Industry Median, 0 otherwise.
* For Operating Data section: All numbers are indicated by the unit behind each term and all currency related amount are in USD. * For other sections: All numbers are in millions except for per share data, ratio, and percentage. All currency related amount are indicated in the company's associated stock exchange currency.
* Note that all the Industry Median used for comparison in his original research, are substituted with Sector Median due to the limitation of data within certain countries.
Good or high score = 6, 7, 8
Bad or low score = 0, 1
CyberArk Software has an G-score of 7. It is a good or high score, which tends to beat the market.
Partha Mohanram is the John H. Watson Chair in Value Investing at Rotman and the Acting Vice-Dean of Research Strategy and Resources.
In 2000, he wrote a research paper called "Separating Winners from Losers Among Low Book-to-Market Stocks Using Financial Statement Analysis".
This paper tests whether a strategy based on financial statement analysis of low book-to-market (growth) stocks is successful in differentiating between winners and losers in terms of future stock performance. Based on the research, a strategy based on buying high G-score (6, 7 or 8) firms and shorting low G-score (0 or 1) firms consistently earns significant excess returns. Further, the results do not support a risk based explanation for the book-to-market effect as the strategy returns positive returns in all years, and firms that ex-ante appear less risky have better future returns.
To conclude, one can use a modified fundamental analysis strategy (G-score) to identify mispricing and earn substantial abnormal returns.
CyberArk Software Mohanram G-Score Related Terms
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CyberArk Software (CyberArk Software) Business Description
CyberArk Software Ltd provides Information technology security solutions to protect data, infrastructure, and assets across the enterprise. The company software solutions focused on protecting privileged accounts, credentials, and secrets. Its products and services include Enterprise Password Vault, Privileged Session Manager, Privileged Threat Analytics, CyberArk Privilege Cloud. The company provides a solution on Audit and Compliance, Security and Risk Management, Industry Solutions. Geographically, it generates maximum revenue from the United States and also has a presence in the United Kingdom; Europe, the Middle East and Africa and Other countries.
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