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Beijing Airdoc Technology Co (HKSE:02251) Mohanram G-Score : N/A (As of Dec. 2023)


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What is Beijing Airdoc Technology Co Mohanram G-Score?

Beijing Airdoc Technology Co does not have enough data to calculate Mohanram G-Score.


Beijing Airdoc Technology Co Mohanram G-Score Historical Data

The historical data trend for Beijing Airdoc Technology Co'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.

Beijing Airdoc Technology Co Mohanram G-Score Chart

Beijing Airdoc Technology Co Annual Data
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Beijing Airdoc Technology Co Semi-Annual Data
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Mohanram G-Score Get a 7-Day Free Trial Premium Member Only N/A N/A N/A N/A N/A

Competitive Comparison of Beijing Airdoc Technology Co's Mohanram G-Score

For the Health Information Services subindustry, Beijing Airdoc Technology Co'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.


Beijing Airdoc Technology Co's Mohanram G-Score Distribution in the Healthcare Providers & Services Industry

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

* The bar in red indicates where Beijing Airdoc Technology Co's Mohanram G-Score falls into.



Beijing Airdoc Technology Co 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

Beijing Airdoc Technology Co  (HKSE:02251) 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.


Beijing Airdoc Technology Co Mohanram G-Score Related Terms

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Beijing Airdoc Technology Co (HKSE:02251) Business Description

Traded in Other Exchanges
N/A
Address
West Third Ring North Road, Room 21, 4th Floor, Building 2, A2 Yard, Haidian District, Beijing, CHN
Beijing Airdoc Technology Co Ltd provides AI-empowered retina-based early detection, diagnosis and health risk assessment solutions in China. Leveraging retinal imaging, multimodal data analyses and AI deep learning algorithms, the company's solution differs from traditional chronic disease early detection and diagnosis, enabling non-invasive, accurate, fast, effective and scalable detection and diagnosis of chronic diseases in both medical institutions and consumer healthcare providers. The Company derives revenue principally from the provision of AI-based software solutions, sales of hardware devices and other services.
Executives
Mialkos Tomasz Jakub 2101 Beneficial owner
Zhang Dalei 2501 Other
Fosun Holdings Limited 2201 Interest of corporation controlled by you
Yadong Beichen Venture Investment Co., Ltd. 2101 Beneficial owner
Shanghai Ruikun Venture Capital Investment Co., Ltd. 2201 Interest of corporation controlled by you
Shanghai Fosun Industrial Investment Co., Ltd. 2201 Interest of corporation controlled by you
Shanghai Fosun High Technology (group) Co., Ltd. 2201 Interest of corporation controlled by you
Guo Guangchang 2201 Interest of corporation controlled by you
Fosun International Limited 2201 Interest of corporation controlled by you
Fosun International Holdings Ltd. 2201 Interest of corporation controlled by you
Chen Mingqiang 2501 Other
Gao Fei 2501 Other
Niagara Falls Holding Limited 2101 Beneficial owner
China Life Franklin Asset Management Co., Limited
China Life Insurance (group) Company

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