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SGSG Science & Technology Co Zhuhai (SZSE:300561) Mohanram G-Score : 4 (As of Sep. 2024)


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What is SGSG Science & Technology Co Zhuhai Mohanram G-Score?

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

SGSG Science & Technology Co Zhuhai has an G-score of 4.

The historical rank and industry rank for SGSG Science & Technology Co Zhuhai's Mohanram G-Score or its related term are showing as below:

SZSE:300561' s Mohanram G-Score Range Over the Past 10 Years
Min: 4   Med: 5   Max: 6
Current: 4

During the past 13 years, the highest Piotroski G-score of SGSG Science & Technology Co Zhuhai was 6. The lowest was 4. And the median was 5.


SGSG Science & Technology Co Zhuhai Mohanram G-Score Historical Data

The historical data trend for SGSG Science & Technology Co Zhuhai'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.

* Premium members only.

SGSG Science & Technology Co Zhuhai Mohanram G-Score Chart

SGSG Science & Technology Co Zhuhai Annual Data
Trend Dec14 Dec15 Dec16 Dec17 Dec18 Dec19 Dec20 Dec21 Dec22 Dec23
Mohanram G-Score
Get a 7-Day Free Trial Premium Member Only Premium Member Only N/A N/A 4.00 5.00 5.00

SGSG Science & Technology Co Zhuhai Quarterly Data
Dec19 Mar20 Jun20 Sep20 Dec20 Mar21 Jun21 Sep21 Dec21 Mar22 Jun22 Sep22 Dec22 Mar23 Jun23 Sep23 Dec23 Mar24 Jun24 Sep24
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 5.00 5.00 4.00 5.00 4.00

Competitive Comparison of SGSG Science & Technology Co Zhuhai's Mohanram G-Score

For the Software - Infrastructure subindustry, SGSG Science & Technology Co Zhuhai'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.


SGSG Science & Technology Co Zhuhai's Mohanram G-Score Distribution in the Software Industry

For the Software industry and Technology sector, SGSG Science & Technology Co Zhuhai's Mohanram G-Score distribution charts can be found below:

* The bar in red indicates where SGSG Science & Technology Co Zhuhai's Mohanram G-Score falls into.



SGSG Science & Technology Co Zhuhai 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

SGSG Science & Technology Co Zhuhai has an G-score of 4.

SGSG Science & Technology Co Zhuhai  (SZSE:300561) 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.


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SGSG Science & Technology Co Zhuhai Business Description

Traded in Other Exchanges
N/A
Address
No. 1 Software Park Road, Convention and Exhibition Center, 3rd floor, No. 3, Zhuhai, CHN, 519085
SGSG Science & Technology Co Ltd Zhuhai is specializing in the research, development and sales of IoT security electronic information technology products. It provides professional solutions and services for operations management, risk control, network transformation and channel construction of financial industry customers, government departments, enterprises and institutions. The company's main products and solutions consist of financial AI solution, financial mobile industry solutions, smart bank (Dot) solution, bank vault and seal management solution, self-service equipment plus banknote management solution, and real logistics management solutions.
Executives
Chen Zhe Directors, executives
Ma Zheng Directors, executives
He Yan Securities Affairs Representative
Ma Xiao Li Executives
Cai Lin Sheng Secretary Dong
Luo Xiu Hong Supervisors

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