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Achiko AG (XSWX:ACHI) Mohanram G-Score : 0 (As of Jun. 2022)


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What is Achiko AG 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

Achiko AG has an G-score of 0. It is a bad or low score, which tends to have negative absolute returns.

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


Achiko AG Mohanram G-Score Historical Data

The historical data trend for Achiko AG'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.

Achiko AG Mohanram G-Score Chart

Achiko AG Annual Data
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Achiko AG Semi-Annual Data
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Mohanram G-Score Get a 7-Day Free Trial N/A N/A N/A N/A N/A

Achiko AG 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

Achiko AG has an G-score of 0. It is a bad or low score, which tends to have negative absolute returns.

Achiko AG  (XSWX:ACHI) 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.


Achiko AG Mohanram G-Score Related Terms

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Achiko AG (XSWX:ACHI) Business Description

Traded in Other Exchanges
N/A
Address
Tessinerplatz 7, Zurich, CHE, CH-8002
Achiko AG is developing disruptive diagnostic solutions that put people first. The company product is a rapid, reliable Covid-19 test with a companion app offering a user-friendly digital health passport. Achiko creates and develops aptamer-based diagnostics through its biotechnology division, AptameX, and companion health apps via its digital mobile health technology division, Teman Sehat. The AptameX DNA aptamer tests can be rapidly chemically synthesized, are cost-effective, and have wide potential across multiple disease diagnostics. Leveraging AptameX and Teman Sehat, Achiko aims to deliver fast, accurate, and affordable diagnostic testing for a range of pathogenic diseases and therapeutic indications in the rapidly evolving healthcare diagnostics field.

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