NDATF (NDatalyze) Mohanram G-Score: 1 (As of Feb. 2026) — Near Median


What is NDatalyze Mohanram G-Score?

NDatalyze NDATF Mohanram G-Score is 1 as of Feb. 2026, which is at its 10-year median of 1.00.

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

NDatalyze has an G-score of 1. It is a bad or low score, which tends to have negative absolute returns.

The historical rank and industry rank for NDatalyze's Mohanram G-Score or its related term are showing as below:

NDATF' s Mohanram G-Score Range Over the Past 10 Years
Min: 0   Med: 1   Max: 2
Current: 1

During the past 8 years, the highest Piotroski G-score of NDatalyze was 2. The lowest was 0. And the median was 1.

NDatalyze  (OTCPK:NDATF) 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.


NDatalyze Mohanram G-Score Related Terms


NDatalyze Mohanram G-Score Historical Data

* Premium members only.

The historical data trend for NDatalyze'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.

NDatalyze Mohanram G-Score Chart

NDatalyze Annual Data
Trend Feb19 Feb20 Feb21 Feb22 Feb23 Feb24 Feb25 Feb26
Mohanram G-Score
Get a 7-Day Free Trial N/A N/A N/A 1.00 1.00

NDatalyze Quarterly Data
May21 Aug21 Nov21 Feb22 May22 Aug22 Nov22 Feb23 May23 Aug23 Nov23 Feb24 May24 Aug24 Nov24 Feb25 May25 Aug25 Nov25 Feb26
Mohanram G-Score Get a 7-Day Free Trial Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only 1.00 2.00 0.00 2.00 1.00

NDATF vs VEEV, BTSG, TEM: Mohanram G-Score Comparison

For the Health Information Services subindustry, NDatalyze'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.


NDatalyze Mohanram G-Score vs Healthcare Providers & Services Industry

For the Healthcare Providers & Services industry and Healthcare sector, NDatalyze's Mohanram G-Score distribution charts can be found below:

* The bar in red indicates where NDatalyze's Mohanram G-Score falls into.



NDatalyze 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.

Question 2. Cash ROA

Cash ROA equals to Cash Flow from Operations divided by average Total Assets. It measures how well a company uses its asset to generate cash.

Score 1 if Cash ROA > Cash ROA Industry Median, 0 otherwise.

Question 3. CFO and Net Income

Score 1 if CFO > Net Income, 0 otherwise.

Earnings Predictability

Question 4. Earnings Variability

Earnings Variability is measured as the variance of a firm's ROA in the past five years.

Score 1 if Earnings Variability < Earnings Variability Industry Median, 0 otherwise.

Question 5. Sales Growth Variability

Sales Growth Variability is measured as the 5-year variance in sales growth.

Score 1 if Sales Growth Variability < Sales Growth Variability Industry Median, 0 otherwise.

Accounting Conservatism

Question 6. Research & Development Intensity

Research & Development Intensity is calcualted by Research & Development divided by the beginning Total Assets.

Score 1 if Research & Development Intensity > Research & Development Intensity Industry Median, 0 otherwise.

Question 7. CAPEX Intensity

CAPEX Intensity is calcualted by Capital Expenditure divided by the beginning Total Assets.

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

NDatalyze has an G-score of 1. It is a bad or low score, which tends to have negative absolute returns.

Frequently Asked Questions Learn more about Mohanram G-Score →
What does a Mohanram G-Score of 1 mean?
NDatalyze (NDATF) has a Mohanram G-Score of 1 as of Feb. 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 NDatalyze and its competitors. This is near median its historical median of 1.00.
Is NDatalyze's Mohanram G-Score too high?
NDatalyze's current Mohanram G-Score of 1 is near median its 10-year median of 1.00.
How does NDatalyze's Mohanram G-Score compare to VEEV and BTSG?
NDatalyze's Mohanram G-Score of 1 can be compared against companies in the Healthcare Providers & Services industry. 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 Healthcare Providers & Services company?
A good Mohanram G-Score depends on the Healthcare Providers & Services 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 NDatalyze and its competitors. NDatalyze's current Mohanram G-Score is 1, which is near median its own 10-year median of 1.00. However, context matters — high-growth companies often justify higher valuations. Always evaluate alongside other metrics like GF Score™ and GF Value™.
Is NDatalyze stock overvalued right now?
Based on GuruFocus' analysis, NDatalyze (NDATF) is currently considered Significantly Overvalued. The stock's GF Value™ is $0.05, compared to a current price of $0.08 — trading 60% above its estimated fair value. The current Mohanram G-Score is 1, which is near median its 10-year median of 1.00. 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 NDatalyze (NDATF), the current Mohanram G-Score is 1 as of Feb. 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.

NDatalyze Business Description

Other Exchanges NDAT:Canada
Address 707 - 7th Avenue SW, Suite 1150, Calgary, AB, CAN, T2P 3H6
NDatalyze Corp develops technologically-based, specialized products, databases, and applications. The YMI division is developing a data-driven consumer mHealth application designed to predict current and future health conditions to lessen the cost of health services and decrease the load on health care services. The MLdelic division is providing a database platform that may be used to predict potential benefits associated with the use of entheogenic compounds within the mental health sector. The Medxtractor division manufactures small-scale bio-extractors that are used to extract essential oils from botanical materials.