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
Sekur Private Data has an G-score of 2.
The historical rank and industry rank for Sekur Private Data's Mohanram G-Score or its related term are showing as below:
SWISF'
s Mohanram G-Score Range Over the Past 10 Years
Min: 2 Med: 3 Max: 3
Current: 2
During the past 8 years, the highest Piotroski G-score of Sekur Private Data was 3. The lowest was 2. And the median was 3.
Sekur Private Data (OTCPK:SWISF) Mohanram G-Score Explanation
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.
Sekur Private Data Mohanram G-Score Related Terms
Sekur Private Data Mohanram G-Score Historical Data
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The historical data trend for Sekur Private Data'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.
SWISF vs CRM, SHOP, UBER: Mohanram G-Score Comparison
For the Software - Application subindustry, Sekur Private Data'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.
Sekur Private Data Mohanram G-Score vs Software Industry
For the Software industry and Technology sector, Sekur Private Data's Mohanram G-Score distribution charts can be found below:
* The bar in red indicates where Sekur Private Data's Mohanram G-Score falls into.
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
Sekur Private Data (SWISF) has a Mohanram G-Score of 2 as of Mar. 2026. G-Score is a financial indicator developed by professor Partha Mohanram to help investors find the best investment opportunities in the growth stocks. View historical data on Sekur Private Data and its competitors. This is 33% below median its historical median of 3.00. Over the past decade, Sekur Private Data's Mohanram G-Score has ranged from 2.00 to 3.00.
Is Sekur Private Data's Mohanram G-Score too high?
Sekur Private Data's current Mohanram G-Score of 2 is 33% below median its 10-year median of 3.00. Over the past 10 years, this metric has ranged from a low of 2.00 to a high of 3.00.
How does Sekur Private Data's Mohanram G-Score compare to CRM and SHOP?
Sekur Private Data's Mohanram G-Score of 2 can be compared against companies in the Software industry. Historically, Sekur Private Data's own Mohanram G-Score has ranged from 2.00 to 3.00 over the past decade. See the competitive comparison table and distribution chart on this page for a detailed peer-by-peer breakdown.
What is a good Mohanram G-Score for a Software company?
A good Mohanram G-Score depends on the Software industry context. However, Mohanram G-Score should not be evaluated in isolation — investors should consider it alongside profitability, growth, and financial strength metrics. Use the industry distribution chart on this page to see where any company falls relative to its peers.
What does a high Mohanram G-Score mean?
A high Mohanram G-Score can signal that a stock is expensive relative to its fundamentals. G-Score is a financial indicator developed by professor Partha Mohanram to help investors find the best investment opportunities in the growth stocks. View historical data on Sekur Private Data and its competitors. Sekur Private Data's current Mohanram G-Score is 2, which is 33% below median its own 10-year median of 3.00. However, context matters — high-growth companies often justify higher valuations. Always evaluate alongside other metrics like GF Score™ and GF Value™.
Is Sekur Private Data stock overvalued right now?
Based on GuruFocus' analysis, Sekur Private Data (SWISF) is currently considered Significantly Overvalued. The stock's GF Value™ is $0.02, compared to a current price of $0.04 — trading 92.5% above its estimated fair value. The current Mohanram G-Score is 2, which is 33% below median its 10-year median of 3.00. Investors should evaluate multiple metrics — including profitability, growth, and financial strength — before making a decision.
How is Mohanram G-Score calculated?
Mohanram G-Score is calculated from a company's financial statements. For Sekur Private Data (SWISF), the current Mohanram G-Score is 2 as of Mar. 2026. GuruFocus calculates this using data sourced from SEC filings and annual reports. See the calculation section and 30-year financial data on this page for the full breakdown.
Sekur Private Data Ltd is a software company. It is a Cybersecurity and Internet Privacy provider of Swiss-hosted solutions for secure communications and secure data management. The company sells the products through resellers and other distribution channels such as managed service providers, Internet service providers, and telecommunication companies. The company help by providing Sekur Mail, Sekur VPN, Sekur Messenger.
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