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GGEI (Green Giant) Mohanram G-Score : 1 (As of Dec. 2023)


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What is Green Giant 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

Green Giant 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 Green Giant's Mohanram G-Score or its related term are showing as below:

GGEI' s Mohanram G-Score Range Over the Past 10 Years
Min: 0   Med: 2   Max: 3
Current: 1

During the past 13 years, the highest Piotroski G-score of Green Giant was 3. The lowest was 0. And the median was 2.


Green Giant Mohanram G-Score Historical Data

The historical data trend for Green Giant'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.

Green Giant Mohanram G-Score Chart

Green Giant Annual Data
Trend Sep14 Sep15 Sep16 Sep17 Sep18 Sep19 Sep20 Sep21 Sep22 Sep23
Mohanram G-Score
Get a 7-Day Free Trial Premium Member Only Premium Member Only 1.00 2.00 1.00 2.00 2.00

Green Giant Quarterly Data
Mar19 Jun19 Sep19 Dec19 Mar20 Jun20 Sep20 Dec20 Mar21 Jun21 Sep21 Dec21 Mar22 Jun22 Sep22 Dec22 Mar23 Jun23 Sep23 Dec23
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 2.00 2.00 1.00

Competitive Comparison of Green Giant's Mohanram G-Score

For the Real Estate - Development subindustry, Green Giant'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.


Green Giant's Mohanram G-Score Distribution in the Real Estate Industry

For the Real Estate industry and Real Estate sector, Green Giant's Mohanram G-Score distribution charts can be found below:

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



Green Giant 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

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

Green Giant  (OTCPK:GGEI) 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.


Green Giant Mohanram G-Score Related Terms

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Green Giant Business Description

Traded in Other Exchanges
N/A
Address
6 Xinghan Road, 19th Floor, Shaanxi Province, Hanzhong, CHN, 723000
Green Giant Inc is engaged in real estate development buisness and green energy business. The Company engages in real estate development through the VIE, Guangsha, in mainland China, and is transitioning itself from its real estate development business to a new energy corporation. It is engaged in the construction and sale of residential apartments, car parks, and commercial properties. The company's real-estate properties include multi-layer apartment buildings, sub-high-rise apartment buildings, and high-rise apartment buildings. The project portfolios of the company are Yangzhou Pearl Garden Phase I and II, Nanyuan II Project, Mingzhu Garden, Oriental Pearl Garden, and Yangzhou Palace. Majority of the Company's revenue is derived from real estate sales.
Executives
Goldenmountain Solution Inc. 10 percent owner 1100 ABERNATHY RD NE STE 325, ATLANTA GA 30328
Gordon H Silver director C/O PUTNAM LLC, ONE POST OFFICE SQ, BOSTON MA 02109
H. David Sherman director 38 HOMEWOOD ROAD, NEWTON MA 02468
Shenghuei Luo director 6 XINGHAN ROAD 19TH FL, HANZHONG CITY, SHAANXI PROVINCE F4 72300
Yuankai Wen director ROOM 907, TOWER A, HONGYUAN MANSION, NO. 4, JIU XIAN QIAO RD., BEIJING F4 100016
Xiaojun Zhu director, 10 percent owner, officer: President and CEO 6 XINGHAN ROAD, 19TH FLOOR, HANZHONG CITY, SHAANXI PROVINCE F4 723000
Carl M Berg other: Former Officer, Director, 10% 1059 EAST SKYLER DR, DRAPER UT 84020
John Leo director, officer: Secretary 80 WALL STREET, 5TH FLOOR, NEW YORK NY 10005
Zhengquan Wang director, 10 percent owner, officer: CEO, CFO 101 XINANYAO STREET, JINZHOU DISTRICT, DALIAN LIAONING PROV F4 116100
Mark Stewart director PO BOX 51150, IRVINE CA 92619
Kevin J Gadawski director 19 TERRAZA DEL MAR, DANA POINT CA 92629
Brian A Lebrecht 10 percent owner 610 NEWPORT CENTER DRIVE, SUITE 800, NEWPORT BEACH CA 92660
Gerald A Deciccio director 92 CORPORATE PARK, C-141, IRVINE CA 92606