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Adagene (FRA:978) Beneish M-Score : -1.98 (As of May. 27, 2024)


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What is Adagene Beneish M-Score?

The zones of discrimination for M-Score is as such:

An M-Score of equal or less than -1.78 suggests that the company is unlikely to be a manipulator.
An M-Score of greater than -1.78 signals that the company is likely to be a manipulator.

Good Sign:

Beneish M-Score -1.98 no higher than -1.78, which implies that the company is unlikely to be a manipulator.

The historical rank and industry rank for Adagene's Beneish M-Score or its related term are showing as below:

FRA:978' s Beneish M-Score Range Over the Past 10 Years
Min: -4.65   Med: 4.69   Max: 13.18
Current: -1.98

During the past 6 years, the highest Beneish M-Score of Adagene was 13.18. The lowest was -4.65. And the median was 4.69.


Adagene Beneish M-Score Historical Data

The historical data trend for Adagene's Beneish M-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.

Adagene Beneish M-Score Chart

Adagene Annual Data
Trend Dec18 Dec19 Dec20 Dec21 Dec22 Dec23
Beneish M-Score
Get a 7-Day Free Trial - 13.18 11.35 -4.65 -1.98

Adagene Semi-Annual Data
Dec18 Dec19 Jun20 Dec20 Jun21 Dec21 Jun22 Dec22 Jun23 Dec23
Beneish M-Score Get a 7-Day Free Trial Premium Member Only Premium Member Only 11.35 0.39 -4.65 - -1.98

Competitive Comparison of Adagene's Beneish M-Score

For the Biotechnology subindustry, Adagene's Beneish M-Score, along with its competitors' market caps and Beneish M-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.


Adagene's Beneish M-Score Distribution in the Biotechnology Industry

For the Biotechnology industry and Healthcare sector, Adagene's Beneish M-Score distribution charts can be found below:

* The bar in red indicates where Adagene's Beneish M-Score falls into.



Adagene Beneish M-Score Calculation

The M-score was created by Professor Messod Beneish. Instead of measuring the bankruptcy risk (Altman Z-Score) or business trend (Piotroski F-Score), M-score can be used to detect the risk of earnings manipulation. This is the original research paper on M-score.

The M-Score Variables:

The M-score of Adagene for today is based on a combination of the following eight different indices:

M=-4.84+0.92 * DSRI+0.528 * GMI+0.404 * AQI+0.892 * SGI+0.115 * DEPI
=-4.84+0.92 * 0.1845+0.528 * 1+0.404 * 1.0068+0.892 * 1.8931+0.115 * 0.9244
-0.172 * SGAI+4.679 * TATA-0.327 * LVGI
-0.172 * 0.3748+4.679 * 0.05374-0.327 * 0.8586
=-2.03

* 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.

This Year (Dec23) TTM:Last Year (Dec22) TTM:
Total Receivables was €0.20 Mil.
Revenue was €16.61 Mil.
Gross Profit was €16.61 Mil.
Total Current Assets was €104.03 Mil.
Total Assets was €106.12 Mil.
Property, Plant and Equipment(Net PPE) was €2.02 Mil.
Depreciation, Depletion and Amortization(DDA) was €1.11 Mil.
Selling, General, & Admin. Expense(SGA) was €7.95 Mil.
Total Current Liabilities was €28.85 Mil.
Long-Term Debt & Capital Lease Obligation was €12.58 Mil.
Net Income was €-17.37 Mil.
Gross Profit was €3.02 Mil.
Cash Flow from Operations was €-26.09 Mil.
Total Receivables was €0.58 Mil.
Revenue was €8.77 Mil.
Gross Profit was €8.77 Mil.
Total Current Assets was €140.95 Mil.
Total Assets was €143.87 Mil.
Property, Plant and Equipment(Net PPE) was €2.81 Mil.
Depreciation, Depletion and Amortization(DDA) was €1.37 Mil.
Selling, General, & Admin. Expense(SGA) was €11.21 Mil.
Total Current Liabilities was €52.00 Mil.
Long-Term Debt & Capital Lease Obligation was €13.41 Mil.




1. DSRI = Days Sales in Receivables Index

Measured as the ratio of Revenue in Total Receivables in year t to year t-1.

A large increase in DSR could be indicative of revenue inflation.

DSRI=(Receivables_t / Revenue_t) / (Receivables_t-1 / Revenue_t-1)
=(0.204 / 16.608) / (0.584 / 8.773)
=0.012283 / 0.066568
=0.1845

2. GMI = Gross Margin Index

Measured as the ratio of gross margin in year t-1 to gross margin in year t.

Gross margin has deteriorated when this index is above 1. A firm with poorer prospects is more likely to manipulate earnings.

GMI=GrossMargin_t-1 / GrossMargin_t
=(GrossProfit_t-1 / Revenue_t-1) / (GrossProfit_t / Revenue_t)
=(8.773 / 8.773) / (16.608 / 16.608)
=1 / 1
=1

3. AQI = Asset Quality Index

AQI is the ratio of asset quality in year t to year t-1.

Asset quality is measured as the ratio of non-current assets other than Property, Plant and Equipment to Total Assets.

AQI=(1 - (CurrentAssets_t + PPE_t) / TotalAssets_t) / (1 - (CurrentAssets_t-1 + PPE_t-1) / TotalAssets_t-1)
=(1 - (104.028 + 2.017) / 106.123) / (1 - (140.953 + 2.808) / 143.866)
=0.000735 / 0.00073
=1.0068

4. SGI = Sales Growth Index

Ratio of Revenue in year t to sales in year t-1.

Sales growth is not itself a measure of manipulation. However, growth companies are likely to find themselves under pressure to manipulate in order to keep up appearances.

SGI=Sales_t / Sales_t-1
=Revenue_t / Revenue_t-1
=16.608 / 8.773
=1.8931

5. DEPI = Depreciation Index

Measured as the ratio of the rate of Depreciation, Depletion and Amortization in year t-1 to the corresponding rate in year t.

DEPI greater than 1 indicates that assets are being depreciated at a slower rate. This suggests that the firm might be revising useful asset life assumptions upwards, or adopting a new method that is income friendly.

DEPI=(Depreciation_t-1 / (Depreciaton_t-1 + PPE_t-1)) / (Depreciation_t / (Depreciaton_t + PPE_t))
=(1.369 / (1.369 + 2.808)) / (1.108 / (1.108 + 2.017))
=0.327747 / 0.35456
=0.9244

Note: If the Depreciation, Depletion and Amortization data is not available, we assume that the depreciation rate is constant and set the Depreciation Index to 1.

6. SGAI = Sales, General and Administrative expenses Index

The ratio of Selling, General, & Admin. Expense(SGA) to Sales in year t relative to year t-1.

SGA expenses index > 1 means that the company is becoming less efficient in generate sales.

SGAI=(SGA_t / Sales_t) / (SGA_t-1 /Sales_t-1)
=(7.953 / 16.608) / (11.209 / 8.773)
=0.478866 / 1.27767
=0.3748

7. LVGI = Leverage Index

The ratio of total debt to Total Assets in year t relative to yeat t-1.

An LVGI > 1 indicates an increase in leverage

LVGI=((LTD_t + CurrentLiabilities_t) / TotalAssets_t) / ((LTD_t-1 + CurrentLiabilities_t-1) / TotalAssets_t-1)
=((12.576 + 28.845) / 106.123) / ((13.405 + 51.996) / 143.866)
=0.390311 / 0.454597
=0.8586

8. TATA = Total Accruals to Total Assets

Total accruals calculated as the change in working capital accounts other than cash less depreciation.

TATA=(IncomefromContinuingOperations_t - CashFlowsfromOperations_t) / TotalAssets_t
=(NetIncome_t - NonOperatingIncome_t - CashFlowsfromOperations_t) / TotalAssets_t
=(-17.373 - 3.017 - -26.093) / 106.123
=0.05374

An M-Score of equal or less than -1.78 suggests that the company is unlikely to be a manipulator. An M-Score of greater than -1.78 signals that the company is likely to be a manipulator.

Adagene has a M-score of -2.03 suggests that the company is unlikely to be a manipulator.


Adagene Beneish M-Score Related Terms

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Adagene (FRA:978) Business Description

Traded in Other Exchanges
Address
Xinghu Street, Suzhou Industrial Park, 4th Floor, Building C14, No. 218, Jiangsu Province, Suzhou, CHN, 215123
Adagene Inc platform-driven, clinical-stage biopharmaceutical company engaged in transforming the discovery and development of novel antibody-based cancer immunotherapies. The company's platform is designed to generate therapeutic antibody candidates with functional epitopes and species cross-reactivity as highlighted by the company's immunotherapy pipeline.

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