Stockholm Nordtech Group AB (OSTO:NTECH) Mohanram G-Score: N/A (As of Mar. 2026)


OSTO:NTECH Stockholm Nordtech Group AB OSTO:NTECH
7 GF Score
Price kr57.60
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What is Stockholm Nordtech Group AB Mohanram G-Score?

Stockholm Nordtech Group AB does not have enough data to calculate Mohanram G-Score.

Stockholm Nordtech Group AB  (OSTO:NTECH) 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.


Stockholm Nordtech Group AB Mohanram G-Score Related Terms


Stockholm Nordtech Group AB Mohanram G-Score Historical Data

* Premium members only.

The historical data trend for Stockholm Nordtech Group AB'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.

Stockholm Nordtech Group AB Mohanram G-Score Chart

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Stockholm Nordtech Group AB Quarterly Data
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OSTO:NTECH vs MSFT, ORCL, PLTR: Mohanram G-Score Comparison

For the Software - Infrastructure subindustry, Stockholm Nordtech Group AB'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.


Stockholm Nordtech Group AB Mohanram G-Score vs Software Industry

For the Software industry and Technology sector, Stockholm Nordtech Group AB's Mohanram G-Score distribution charts can be found below:

* The bar in red indicates where Stockholm Nordtech Group AB's Mohanram G-Score falls into.


OSTO:NTECH
7GF Score
Stockholm Nordtech Group AB OSTO:NTECH
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Stockholm Nordtech Group AB 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


Stockholm Nordtech Group AB Business Description

Other Exchanges GD2:Germany
Address Norrlandsgatan 10, Stockholm, SWE, 111 43
Nordtech Group AB develops and acquires small and medium sized companies that provide mission-critical B2B software solutions in resilient niche markets. Its portfolio includes software businesses serving a range of industries across the Business Platforms, Operational Solutions, and Public Infrastructure segments. The majority of revenue is derived from the Operational solutions segment. The company's software products are used in customer operations and include recurring-revenue business models. The company also supports the adoption of artificial intelligence technologies across its portfolio companies. Its operating model combines ownership oversight with decentralized operations, allowing portfolio companies to manage their day-to-day activities independently.
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