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MMTIF (Micromem Technologies) Beneish M-Score : 0.00 (As of Mar. 23, 2025)


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

During the past 13 years, the highest Beneish M-Score of Micromem Technologies was 0.00. The lowest was 0.00. And the median was 0.00.


Micromem Technologies Beneish M-Score Historical Data

The historical data trend for Micromem Technologies'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.

Micromem Technologies Beneish M-Score Chart

Micromem Technologies Annual Data
Trend Oct15 Oct16 Oct17 Oct18 Oct19 Oct20 Oct21 Oct22 Oct23 Oct24
Beneish M-Score
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Micromem Technologies Quarterly Data
Jan20 Apr20 Jul20 Oct20 Jan21 Apr21 Jul21 Oct21 Jan22 Apr22 Jul22 Oct22 Jan23 Apr23 Jul23 Oct23 Jan24 Apr24 Jul24 Oct24
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Competitive Comparison of Micromem Technologies's Beneish M-Score

For the Semiconductors subindustry, Micromem Technologies'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.


Micromem Technologies's Beneish M-Score Distribution in the Semiconductors Industry

For the Semiconductors industry and Technology sector, Micromem Technologies's Beneish M-Score distribution charts can be found below:

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



Micromem Technologies 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 Micromem Technologies 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 (Oct24) TTM:Last Year (Oct23) TTM:
Total Receivables was $0.14 Mil.
Revenue was 0 + 0 + 0 + 0 = $0.00 Mil.
Gross Profit was 0 + 0 + 0 + 0 = $0.00 Mil.
Total Current Assets was $0.27 Mil.
Total Assets was $0.28 Mil.
Property, Plant and Equipment(Net PPE) was $0.02 Mil.
Depreciation, Depletion and Amortization(DDA) was $0.02 Mil.
Selling, General, & Admin. Expense(SGA) was $0.54 Mil.
Total Current Liabilities was $6.96 Mil.
Long-Term Debt & Capital Lease Obligation was $0.05 Mil.
Net Income was -2.518 + -0.57 + 1.446 + -1.421 = $-3.06 Mil.
Non Operating Income was -2.096 + -0.191 + 1.804 + -1.08 = $-1.56 Mil.
Cash Flow from Operations was -0.27 + -0.069 + -0.056 + -0.23 = $-0.63 Mil.
Total Receivables was $0.10 Mil.
Revenue was 0 + 0 + 0 + 0 = $0.00 Mil.
Gross Profit was 0 + 0 + 0 + 0 = $0.00 Mil.
Total Current Assets was $0.14 Mil.
Total Assets was $0.17 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 $0.98 Mil.
Total Current Liabilities was $4.95 Mil.
Long-Term Debt & Capital Lease Obligation was $0.06 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)
=(0.142 / 0) / (0.104 / 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 - (0.267 + 0.015) / 0.283) / (1 - (0.136 + 0.033) / 0.168)
=0.003534 / -0.005952
=

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))
=(0.016 / (0.016 + 0.033)) / (0.016 / (0.016 + 0.015))
=0.326531 / 0.516129
=

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)
=(0.544 / 0) / (0.976 / 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)
=((0.045 + 6.961) / 0.283) / ((0.055 + 4.954) / 0.168)
=24.756184 / 29.815476
=

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
=(-3.063 - -1.563 - -0.625) / 0.283
=-3.091873

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.


Micromem Technologies Beneish M-Score Related Terms

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Micromem Technologies Business Description

Traded in Other Exchanges
Address
121 Richmond Street West, Suite 602, Toronto, ON, CAN, M5H 2K1
Micromem Technologies Inc develops, based upon proprietary technology, customized sensor applications for companies. The technology has a combination of superior sensitivity, robust structure, cost-effectiveness, and small size enabling a wide variety of applications within multiple industry sectors. Some of the sensors applications are Oil Sensor Solutions, Structural Integrity Sensors, Nanoparticle Detection Solutions and Energy Storage Solutions.

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