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CGNSF (Cognetivity Neurosciences) Beneish M-Score : 0.00 (As of Dec. 14, 2024)


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What is Cognetivity Neurosciences 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 Cognetivity Neurosciences's Beneish M-Score or its related term are showing as below:

During the past 7 years, the highest Beneish M-Score of Cognetivity Neurosciences was 0.00. The lowest was 0.00. And the median was 0.00.


Cognetivity Neurosciences Beneish M-Score Historical Data

The historical data trend for Cognetivity Neurosciences'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.

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Cognetivity Neurosciences Beneish M-Score Chart

Cognetivity Neurosciences Annual Data
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Cognetivity Neurosciences Quarterly Data
Jan19 Apr19 Jul19 Oct19 Jan20 Apr20 Jul20 Oct20 Jan21 Apr21 Jul21 Oct21 Jan22 Apr22 Jul22 Oct22 Jan23 Apr23 Jul23 Oct23
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Competitive Comparison of Cognetivity Neurosciences's Beneish M-Score

For the Health Information Services subindustry, Cognetivity Neurosciences'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.


Cognetivity Neurosciences's Beneish M-Score Distribution in the Healthcare Providers & Services Industry

For the Healthcare Providers & Services industry and Healthcare sector, Cognetivity Neurosciences's Beneish M-Score distribution charts can be found below:

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



Cognetivity Neurosciences 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 Cognetivity Neurosciences 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 (Oct23) TTM:Last Year (Oct22) TTM:
Total Receivables was $0.18 Mil.
Revenue was 0.021 + 0.015 + 0.003 + 0.034 = $0.07 Mil.
Gross Profit was 0.021 + 0.015 + 0.003 + 0.034 = $0.07 Mil.
Total Current Assets was $0.22 Mil.
Total Assets was $0.36 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 $3.15 Mil.
Total Current Liabilities was $11.44 Mil.
Long-Term Debt & Capital Lease Obligation was $1.00 Mil.
Net Income was -1.486 + -1.465 + -1.563 + -1.91 = $-6.42 Mil.
Non Operating Income was 0.136 + 0.104 + 0.117 + -0.192 = $0.17 Mil.
Cash Flow from Operations was 0.012 + -0.506 + -1.131 + -1.25 = $-2.88 Mil.
Total Receivables was $0.39 Mil.
Revenue was 0 + 0 + 0 + 0 = $0.00 Mil.
Gross Profit was 0 + 0 + 0 + 0 = $0.00 Mil.
Total Current Assets was $3.55 Mil.
Total Assets was $3.69 Mil.
Property, Plant and Equipment(Net PPE) was $0.05 Mil.
Depreciation, Depletion and Amortization(DDA) was $0.02 Mil.
Selling, General, & Admin. Expense(SGA) was $7.10 Mil.
Total Current Liabilities was $3.44 Mil.
Long-Term Debt & Capital Lease Obligation was $0.91 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)
=(0.184 / 0.073) / (0.39 / 0)
=2.520548 /
=

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) / (0.073 / 0.073)
= / 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 - (0.221 + 0.034) / 0.355) / (1 - (3.547 + 0.047) / 3.687)
=0.28169 / 0.025224
=

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
=0.073 / 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))
=(0.021 / (0.021 + 0.047)) / (0.02 / (0.02 + 0.034))
=0.308824 / 0.37037
=

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)
=(3.147 / 0.073) / (7.1 / 0)
=43.109589 /
=

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)
=((0.998 + 11.437) / 0.355) / ((0.907 + 3.439) / 3.687)
=35.028169 / 1.178736
=

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
=(-6.424 - 0.165 - -2.875) / 0.355
=-10.461972

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.


Cognetivity Neurosciences Beneish M-Score Related Terms

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Cognetivity Neurosciences Business Description

Traded in Other Exchanges
N/A
Address
800 West Pender Street, Suite 1430, Vancouver, BC, CAN, V6C 2V6
Cognetivity Neurosciences Ltd is a technology company developing a cognitive testing platform, the Integrated Cognitive Assessment (ICA), for use in medical, commercial, and consumer environments for potentially allowing early diagnosis of dementia. The Company is considered operating in one segment for development of the ICA platform. Its geographical areas include Canada, United Kingdom and Dubai.

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