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Alpha Networks (TPE:3380) Beneish M-Score : -2.83 (As of May. 26, 2024)


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What is Alpha Networks 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.

Good Sign:

Beneish M-Score -2.83 no higher than -1.78, which implies that the company is unlikely to be a manipulator.

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

TPE:3380' s Beneish M-Score Range Over the Past 10 Years
Min: -3.55   Med: -2.72   Max: -0.56
Current: -2.83

During the past 13 years, the highest Beneish M-Score of Alpha Networks was -0.56. The lowest was -3.55. And the median was -2.72.


Alpha Networks Beneish M-Score Historical Data

The historical data trend for Alpha Networks'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.

Alpha Networks Beneish M-Score Chart

Alpha Networks Annual Data
Trend Dec14 Dec15 Dec16 Dec17 Dec18 Dec19 Dec20 Dec21 Dec22 Dec23
Beneish M-Score
Get a 7-Day Free Trial Premium Member Only Premium Member Only -1.23 -1.86 -2.62 -2.29 -2.89

Alpha Networks Quarterly Data
Jun19 Sep19 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 Premium Member Only Premium Member Only -2.87 -3.13 -3.48 -2.89 -2.83

Competitive Comparison of Alpha Networks's Beneish M-Score

For the Communication Equipment subindustry, Alpha Networks'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.


Alpha Networks's Beneish M-Score Distribution in the Hardware Industry

For the Hardware industry and Technology sector, Alpha Networks's Beneish M-Score distribution charts can be found below:

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



Alpha Networks 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 Alpha Networks 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 * 1.133+0.528 * 0.9737+0.404 * 1.2862+0.892 * 0.7388+0.115 * 0.9635
-0.172 * SGAI+4.679 * TATA-0.327 * LVGI
-0.172 * 1.2155+4.679 * -0.072367-0.327 * 0.8913
=-2.83

* 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 NT$4,136 Mil.
Revenue was 5180.2 + 6796.125 + 5861.401 + 7745.325 = NT$25,583 Mil.
Gross Profit was 1007.885 + 1262.355 + 1186.591 + 1362.456 = NT$4,819 Mil.
Total Current Assets was NT$17,626 Mil.
Total Assets was NT$24,926 Mil.
Property, Plant and Equipment(Net PPE) was NT$4,921 Mil.
Depreciation, Depletion and Amortization(DDA) was NT$762 Mil.
Selling, General, & Admin. Expense(SGA) was NT$2,406 Mil.
Total Current Liabilities was NT$10,340 Mil.
Long-Term Debt & Capital Lease Obligation was NT$1,164 Mil.
Net Income was 66.508 + 51.71 + 83.394 + 238.917 = NT$441 Mil.
Non Operating Income was 0 + 0 + 0 + 0 = NT$0 Mil.
Cash Flow from Operations was -45.755 + 694.789 + 1182.179 + 413.167 = NT$2,244 Mil.
Total Receivables was NT$4,941 Mil.
Revenue was 7869.34 + 9241.259 + 9230.87 + 8287.178 = NT$34,629 Mil.
Gross Profit was 1399.771 + 1768.119 + 1595.792 + 1588.061 = NT$6,352 Mil.
Total Current Assets was NT$19,684 Mil.
Total Assets was NT$26,608 Mil.
Property, Plant and Equipment(Net PPE) was NT$4,949 Mil.
Depreciation, Depletion and Amortization(DDA) was NT$734 Mil.
Selling, General, & Admin. Expense(SGA) was NT$2,679 Mil.
Total Current Liabilities was NT$12,983 Mil.
Long-Term Debt & Capital Lease Obligation was NT$795 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)
=(4136.133 / 25583.051) / (4941.288 / 34628.647)
=0.161675 / 0.142694
=1.133

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)
=(6351.743 / 34628.647) / (4819.287 / 25583.051)
=0.183425 / 0.188378
=0.9737

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 - (17625.565 + 4921.16) / 24926.408) / (1 - (19683.513 + 4949.124) / 26607.543)
=0.095468 / 0.074224
=1.2862

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
=25583.051 / 34628.647
=0.7388

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))
=(733.972 / (733.972 + 4949.124)) / (761.774 / (761.774 + 4921.16))
=0.12915 / 0.134046
=0.9635

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)
=(2405.958 / 25583.051) / (2679.238 / 34628.647)
=0.094045 / 0.077371
=1.2155

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)
=((1164.083 + 10340.011) / 24926.408) / ((795.394 + 12982.742) / 26607.543)
=0.461522 / 0.517828
=0.8913

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
=(440.529 - 0 - 2244.38) / 24926.408
=-0.072367

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.

Alpha Networks has a M-score of -2.83 suggests that the company is unlikely to be a manipulator.


Alpha Networks Beneish M-Score Related Terms

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Alpha Networks (TPE:3380) Business Description

Traded in Other Exchanges
N/A
Address
No. 8, Li-Shing 7th Road, Science-based Industrial Park, Hsinchu, TWN
Alpha Networks Inc is a provider of telecommunications services mainly engaged in the research, development, design, production, and sale of broadband products, computer network systems, wireless local area networks (LAN), and related accessories. Its product portfolio includes LAN/MAN, Wireless Broadband, Digital Multimedia, Mobile Enterprise Solutions, and Transformation Platforms. Geographically company has a presence in the United States, Taiwan, Singapore, and others where it generates the majority of its revenue from the United States.

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