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Biomind Labs (FRA:3XI) Beneish M-Score : 0.00 (As of Mar. 29, 2025)


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What is Biomind Labs 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.

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

During the past 3 years, the highest Beneish M-Score of Biomind Labs was 0.00. The lowest was 0.00. And the median was 0.00.


Biomind Labs Beneish M-Score Historical Data

The historical data trend for Biomind Labs'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.

Biomind Labs Beneish M-Score Chart

Biomind Labs Annual Data
Trend Dec21 Dec22 Dec23
Beneish M-Score
- - -

Biomind Labs Quarterly Data
Mar21 Jun21 Sep21 Dec21 Mar22 Jun22 Sep22 Dec22 Mar23 Jun23 Sep23 Dec23 Mar24 Jun24 Sep24
Beneish M-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 - - - - -

Competitive Comparison of Biomind Labs's Beneish M-Score

For the Biotechnology subindustry, Biomind Labs'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.


Biomind Labs's Beneish M-Score Distribution in the Biotechnology Industry

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

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


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Biomind Labs 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 Biomind Labs 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 * +0.528 * +0.404 * +0.892 * +0.115 *
-0.172 * SGAI+4.679 * TATA-0.327 * LVGI
-0.172 * +4.679 * -0.327 *
=

* 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 (Sep24) TTM:Last Year (Sep23) TTM:
Total Receivables was €0.00 Mil.
Revenue was 0 + 0 + 0 + 0 = €0.00 Mil.
Gross Profit was 0 + 0 + 0 + 0 = €0.00 Mil.
Total Current Assets was €0.03 Mil.
Total Assets was €0.05 Mil.
Property, Plant and Equipment(Net PPE) was €0.02 Mil.
Depreciation, Depletion and Amortization(DDA) was €0.01 Mil.
Selling, General, & Admin. Expense(SGA) was €-0.06 Mil.
Total Current Liabilities was €1.42 Mil.
Long-Term Debt & Capital Lease Obligation was €0.00 Mil.
Net Income was -0.032 + -0.197 + -0.171 + -0.249 = €-0.65 Mil.
Non Operating Income was 0.105 + -0.016 + 0.002 + -0.017 = €0.07 Mil.
Cash Flow from Operations was -0.1 + -0.023 + -0.106 + -0.193 = €-0.42 Mil.
Total Receivables was €0.00 Mil.
Revenue was 0 + 0 + 0 + 0 = €0.00 Mil.
Gross Profit was 0 + 0 + 0 + 0 = €0.00 Mil.
Total Current Assets was €0.12 Mil.
Total Assets was €0.15 Mil.
Property, Plant and Equipment(Net PPE) was €0.03 Mil.
Depreciation, Depletion and Amortization(DDA) was €0.02 Mil.
Selling, General, & Admin. Expense(SGA) was €0.59 Mil.
Total Current Liabilities was €1.20 Mil.
Long-Term Debt & Capital Lease Obligation was €0.00 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 / 0) / (0 / 0)
= /
=

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)
=(0 / 0) / (0 / 0)
= /
=

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 - (0.028 + 0.02) / 0.048) / (1 - (0.121 + 0.027) / 0.148)
=0 / 0
=

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
=0 / 0
=

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))
=(0.022 / (0.022 + 0.027)) / (0.006 / (0.006 + 0.02))
=0.44898 / 0.230769
=

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)
=(-0.056 / 0) / (0.594 / 0)
= /
=

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)
=((0 + 1.42) / 0.048) / ((0 + 1.197) / 0.148)
=29.583333 / 8.087838
=

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
=(-0.649 - 0.074 - -0.422) / 0.048
=-6.270833

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.


Biomind Labs Beneish M-Score Related Terms

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Biomind Labs Business Description

Traded in Other Exchanges
Address
Camino Saravia s/n, Pando Science and Technology Park, Pando Canelones, Canelones, URY, CP 91.000
Biomind Labs Inc is a biotech Research and Development company aimed at transforming biomedical sciences knowledge from natural psychotropic plants into novel pharmaceutical drugs and nanotech delivery systems for a variety of psychiatric and neurological conditions. Biomind is developing pharmaceutical sole and combined formulations of the main natural psychedelic molecules with the aim of identifying novel pharmaceutical compounds for treating a wide range of therapeutic indications.

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