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Shin Young Securities Co (XKRX:001720) Beneish M-Score : -1.55 (As of Jun. 06, 2024)


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What is Shin Young Securities Co Beneish M-Score?

Note: Financial institutions were excluded from the sample in Beneish paper when calculating Beneish M-Score. Thus, the prediction might not fit banks and insurance companies.

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.

Warning Sign:

Beneish M-Score -1.55 higher than -1.78, which implies that the company might have manipulated its financial results.

The historical rank and industry rank for Shin Young Securities Co's Beneish M-Score or its related term are showing as below:

XKRX:001720' s Beneish M-Score Range Over the Past 10 Years
Min: -7.64   Med: -2.29   Max: -0.73
Current: -1.55

During the past 13 years, the highest Beneish M-Score of Shin Young Securities Co was -0.73. The lowest was -7.64. And the median was -2.29.


Shin Young Securities Co 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 Shin Young Securities Co 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+0.528 * 1+0.404 * 1.0006+0.892 * 1.717+0.115 * 0.8349
-0.172 * SGAI+4.679 * TATA-0.327 * LVGI
-0.172 * 0.5157+4.679 * 0.059357-0.327 * 1.1629
=-1.55

* 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 (Dec23) TTM:Last Year (Dec22) TTM:
Total Receivables was ₩0 Mil.
Revenue was 91487.788 + 90734.964 + 98508.015 + 143420.661 = ₩424,151 Mil.
Gross Profit was 91487.788 + 90734.964 + 98508.015 + 143420.661 = ₩424,151 Mil.
Total Current Assets was ₩0 Mil.
Total Assets was ₩10,980,360 Mil.
Property, Plant and Equipment(Net PPE) was ₩91,588 Mil.
Depreciation, Depletion and Amortization(DDA) was ₩13,016 Mil.
Selling, General, & Admin. Expense(SGA) was ₩35,597 Mil.
Total Current Liabilities was ₩0 Mil.
Long-Term Debt & Capital Lease Obligation was ₩773,252 Mil.
Net Income was 25082.696 + 30870.535 + 43038.759 + 70790.548 = ₩169,783 Mil.
Non Operating Income was 0 + 0 + 0 + 0 = ₩0 Mil.
Cash Flow from Operations was -472821.85 + 24060.633 + -322027.454 + 288814.593 = ₩-481,974 Mil.
Total Receivables was ₩0 Mil.
Revenue was 69977.259 + 68208.863 + 17438.338 + 91412.771 = ₩247,037 Mil.
Gross Profit was 69977.259 + 68208.863 + 17438.338 + 91412.771 = ₩247,037 Mil.
Total Current Assets was ₩0 Mil.
Total Assets was ₩10,392,553 Mil.
Property, Plant and Equipment(Net PPE) was ₩92,573 Mil.
Depreciation, Depletion and Amortization(DDA) was ₩10,732 Mil.
Selling, General, & Admin. Expense(SGA) was ₩40,205 Mil.
Total Current Liabilities was ₩0 Mil.
Long-Term Debt & Capital Lease Obligation was ₩629,348 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 / 424151.428) / (0 / 247037.231)
=0 / 0
=1

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)
=(247037.231 / 247037.231) / (424151.428 / 424151.428)
=1 / 1
=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 + 91587.869) / 10980360.381) / (1 - (0 + 92572.864) / 10392553.246)
=0.991659 / 0.991092
=1.0006

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
=424151.428 / 247037.231
=1.717

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))
=(10731.978 / (10731.978 + 92572.864)) / (13015.877 / (13015.877 + 91587.869))
=0.103886 / 0.12443
=0.8349

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)
=(35597.394 / 424151.428) / (40204.891 / 247037.231)
=0.083926 / 0.162748
=0.5157

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)
=((773251.573 + 0) / 10980360.381) / ((629348.429 + 0) / 10392553.246)
=0.070421 / 0.060558
=1.1629

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
=(169782.538 - 0 - -481974.078) / 10980360.381
=0.059357

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.

Shin Young Securities Co has a M-score of -1.55 signals that the company is likely to be a manipulator.


Shin Young Securities Co Beneish M-Score Related Terms

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Shin Young Securities Co (XKRX:001720) Business Description

Traded in Other Exchanges
Address
Gukjegeumyung-ro 8-gil, Shinyoung Securities Building 16, Youngdeungpo-gu, Seoul, KOR, 150-884
Shin Young Securities Co Ltd is a Japanese company which is engaged in providing financial products and services. It mainly offers broking trading service on securities such as stocks, bonds, futures, options; research service on domestic and overseas financial market; wealth management services; investment banking including underwriting corporate bonds, structured financing, real estate financing; and issuance of equity-linked securities, derivative-linked securities and other. The company divides its business in four business fields as Brokerage business, Wealth Management business, Investment Banking business and Capital Market business.