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Tego Cyber (Tego Cyber) Beneish M-Score : 0.00 (As of Jun. 03, 2024)


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

During the past 4 years, the highest Beneish M-Score of Tego Cyber was -5.14. The lowest was -806.11. And the median was -16.61.


Tego Cyber Beneish M-Score Historical Data

The historical data trend for Tego Cyber'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.

Tego Cyber Beneish M-Score Chart

Tego Cyber Annual Data
Trend Jun20 Jun21 Jun22 Jun23
Beneish M-Score
- - -14.30 -

Tego Cyber Quarterly Data
Dec19 Mar20 Jun20 Sep20 Dec20 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 Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only - - - -806.11 -

Competitive Comparison of Tego Cyber's Beneish M-Score

For the Software - Infrastructure subindustry, Tego Cyber'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.


Tego Cyber's Beneish M-Score Distribution in the Software Industry

For the Software industry and Technology sector, Tego Cyber's Beneish M-Score distribution charts can be found below:

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



Tego Cyber 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 Tego Cyber 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 $0.00 Mil.
Revenue was 0.014 + 0.011 + 0 + 0 = $0.03 Mil.
Gross Profit was 0.014 + 0.011 + 0 + 0 = $0.03 Mil.
Total Current Assets was $0.08 Mil.
Total Assets was $0.11 Mil.
Property, Plant and Equipment(Net PPE) was $0.00 Mil.
Depreciation, Depletion and Amortization(DDA) was $0.07 Mil.
Selling, General, & Admin. Expense(SGA) was $3.78 Mil.
Total Current Liabilities was $1.54 Mil.
Long-Term Debt & Capital Lease Obligation was $0.00 Mil.
Net Income was -1.062 + -2.217 + -4.11 + -3.239 = $-10.63 Mil.
Non Operating Income was 0 + 0 + 0 + 0 = $0.00 Mil.
Cash Flow from Operations was -0.264 + -0.129 + -0.281 + -0.457 = $-1.13 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 $0.21 Mil.
Total Assets was $0.81 Mil.
Property, Plant and Equipment(Net PPE) was $0.00 Mil.
Depreciation, Depletion and Amortization(DDA) was $0.03 Mil.
Selling, General, & Admin. Expense(SGA) was $5.92 Mil.
Total Current Liabilities was $0.95 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 / 0.025) / (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) / (0.025 / 0.025)
= / 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 - (0.083 + 0) / 0.108) / (1 - (0.209 + 0) / 0.806)
=0.231481 / 0.740695
=

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
=0.025 / 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))
=(0.031 / (0.031 + 0)) / (0.065 / (0.065 + 0))
=1 / 1
=

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)
=(3.776 / 0.025) / (5.915 / 0)
=151.04 /
=

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 + 1.535) / 0.108) / ((0 + 0.949) / 0.806)
=14.212963 / 1.177419
=

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
=(-10.628 - 0 - -1.131) / 0.108
=-87.935185

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.


Tego Cyber Beneish M-Score Related Terms

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Tego Cyber (Tego Cyber) Business Description

Traded in Other Exchanges
N/A
Address
8565 South Eastern Avenue, Suite 150, Las Vegas, NV, USA, 89123
Tego Cyber Inc is engaged in the development and commercialization of cybersecurity services and solutions that reduce risk, prevent cyber-attacks and protect intellectual property and data. The products of the company are Threat Correlation, SIEM Integration, Threat Intelligence Feed, Databricks Integration and Amazon Security Lake.
Executives
Robert E Mikkelsen officer: Chief Financial Officer 2033 N OVERFIELD RD, CASA GRANDE AZ 85194
Earl R Johnson officer: CHIEF FINANCIAL OFFICER 8565 S EASTERN AVENUE, SUITE 150, LAS VEGAS NV 89123
Troy Wilkinson director, 10 percent owner, officer: President 8565 S. EASTERN AVENUE, SUITE 150, LAS VEGAS NV 89123
Shannon Wilkinson director, 10 percent owner, officer: CEO, CFO, Secretary, Treasurer 8565 S. EASTERN AVE., SUITE 150, LAS VEGAS NV 89123
Valera Michael De director 8565 S. EASTERN AVENUE, SUITE 150, LAS VEGAS NV 89123
Christopher Craig White director 8565 S. EASTERN AVE., SUITE 150, LAS VEGAS NV 89123