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SureNano Sciences (XCNQ:SURE) Beneish M-Score : 0.00 (As of Jun. 20, 2024)


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

During the past 4 years, the highest Beneish M-Score of SureNano Sciences was 0.00. The lowest was 0.00. And the median was 0.00.


SureNano Sciences Beneish M-Score Historical Data

The historical data trend for SureNano Sciences'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.

SureNano Sciences Beneish M-Score Chart

SureNano Sciences Annual Data
Trend Mar21 Mar22 Mar23 Mar24
Beneish M-Score
- - - -

SureNano Sciences Quarterly Data
Mar21 Jun21 Sep21 Dec21 Mar22 Jun22 Sep22 Dec22 Mar23 Jun23 Sep23 Dec23 Mar24
Beneish M-Score Get a 7-Day Free Trial Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only - - - - -

Competitive Comparison of SureNano Sciences's Beneish M-Score

For the Specialty Chemicals subindustry, SureNano Sciences'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.


SureNano Sciences's Beneish M-Score Distribution in the Chemicals Industry

For the Chemicals industry and Basic Materials sector, SureNano Sciences's Beneish M-Score distribution charts can be found below:

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



SureNano Sciences 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 SureNano Sciences 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 (Mar24) TTM:Last Year (Mar23) TTM:
Total Receivables was C$0.00 Mil.
Revenue was 0 + 0 + 0 + 0 = C$0.00 Mil.
Gross Profit was 0 + 0 + 0 + 0 = C$0.00 Mil.
Total Current Assets was C$0.15 Mil.
Total Assets was C$0.15 Mil.
Property, Plant and Equipment(Net PPE) was C$0.01 Mil.
Depreciation, Depletion and Amortization(DDA) was C$0.00 Mil.
Selling, General, & Admin. Expense(SGA) was C$0.14 Mil.
Total Current Liabilities was C$0.17 Mil.
Long-Term Debt & Capital Lease Obligation was C$0.00 Mil.
Net Income was -0.066 + -0.063 + -0.08 + -0.071 = C$-0.28 Mil.
Non Operating Income was 0 + 0 + 0 + 0 = C$0.00 Mil.
Cash Flow from Operations was -0.024 + -0.021 + -0.081 + -0.016 = C$-0.14 Mil.
Total Receivables was C$0.02 Mil.
Revenue was 0 + 0 + 0 + 0 = C$0.00 Mil.
Gross Profit was 0 + 0 + 0 + 0 = C$0.00 Mil.
Total Current Assets was C$0.31 Mil.
Total Assets was C$0.32 Mil.
Property, Plant and Equipment(Net PPE) was C$0.01 Mil.
Depreciation, Depletion and Amortization(DDA) was C$0.00 Mil.
Selling, General, & Admin. Expense(SGA) was C$0.19 Mil.
Total Current Liabilities was C$0.06 Mil.
Long-Term Debt & Capital Lease Obligation was C$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)
=(0.003 / 0) / (0.021 / 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 - (0.147 + 0.006) / 0.153) / (1 - (0.309 + 0.008) / 0.318)
=0 / 0.003145
=

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))
=(0.003 / (0.003 + 0.008)) / (0.004 / (0.004 + 0.006))
=0.272727 / 0.4
=

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)
=(0.135 / 0) / (0.19 / 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 + 0.173) / 0.153) / ((0 + 0.058) / 0.318)
=1.130719 / 0.18239
=

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
=(-0.28 - 0 - -0.142) / 0.153
=-0.901961

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.


SureNano Sciences Beneish M-Score Related Terms

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SureNano Sciences (XCNQ:SURE) Business Description

Traded in Other Exchanges
N/A
Address
1650 West 2nd Avenue, Suite 350, Vancouver, BC, CAN, V6J 1H4
SureNano Sciences Ltd y is a nanotechnology supply company with the license to sell and otherwise commercialize the SureNanoTM surfactant (the SureNano Surfactant) in Canada and Colorado. The SureNano Surfactant is a ready-to-mix food-grade compound that provides the base for high-performance nanoemulsions to create homogeneous and stable products while maximizing bioavailability, clarity, and taste.
Executives
Charles Henry Malette Director

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