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Shenwan Hongyuan Group Co (SZSE:000166) Beneish M-Score : -2.87 (As of Apr. 29, 2024)


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What is Shenwan Hongyuan Group 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.

Good Sign:

Beneish M-Score -2.87 no higher than -1.78, which implies that the company is unlikely to be a manipulator.

The historical rank and industry rank for Shenwan Hongyuan Group Co's Beneish M-Score or its related term are showing as below:

SZSE:000166' s Beneish M-Score Range Over the Past 10 Years
Min: -3.18   Med: -2.06   Max: -1.67
Current: -2.87

During the past 13 years, the highest Beneish M-Score of Shenwan Hongyuan Group Co was -1.67. The lowest was -3.18. And the median was -2.06.


Shenwan Hongyuan Group 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 Shenwan Hongyuan Group 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 * 1.0514+0.892 * 1.0532+0.115 * 1
-0.172 * SGAI+4.679 * TATA-0.327 * LVGI
-0.172 * 0.9881+4.679 * -0.101727-0.327 * 0.9578
=-2.87

* 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 5043.311 + 3948.216 + 6311.906 + 5610.679 = ¥20,914 Mil.
Gross Profit was 5043.311 + 3948.216 + 6311.906 + 5610.679 = ¥20,914 Mil.
Total Current Assets was ¥218,640 Mil.
Total Assets was ¥635,437 Mil.
Property, Plant and Equipment(Net PPE) was ¥2,425 Mil.
Depreciation, Depletion and Amortization(DDA) was ¥0 Mil.
Selling, General, & Admin. Expense(SGA) was ¥10,553 Mil.
Total Current Liabilities was ¥47,842 Mil.
Long-Term Debt & Capital Lease Obligation was ¥169,577 Mil.
Net Income was 258.942 + 599.665 + 1736.743 + 2010.99 = ¥4,606 Mil.
Non Operating Income was 0 + 0 + 0 + 0 = ¥0 Mil.
Cash Flow from Operations was 19083.161 + 1919.384 + 18675.085 + 29569.646 = ¥69,247 Mil.
Total Receivables was ¥0 Mil.
Revenue was 2270.54 + 5139.946 + 7762.465 + 4683.885 = ¥19,857 Mil.
Gross Profit was 2270.54 + 5139.946 + 7762.465 + 4683.885 = ¥19,857 Mil.
Total Current Assets was ¥230,547 Mil.
Total Assets was ¥613,117 Mil.
Property, Plant and Equipment(Net PPE) was ¥2,302 Mil.
Depreciation, Depletion and Amortization(DDA) was ¥0 Mil.
Selling, General, & Admin. Expense(SGA) was ¥10,141 Mil.
Total Current Liabilities was ¥39,812 Mil.
Long-Term Debt & Capital Lease Obligation was ¥179,224 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 / 20914.112) / (0 / 19856.836)
=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)
=(19856.836 / 19856.836) / (20914.112 / 20914.112)
=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 - (218640.101 + 2424.61) / 635437.418) / (1 - (230547.472 + 2302.193) / 613117.025)
=0.652106 / 0.62022
=1.0514

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
=20914.112 / 19856.836
=1.0532

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 / (0 + 2302.193)) / (0 / (0 + 2424.61))
=0 / 0
=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)
=(10553.318 / 20914.112) / (10140.6 / 19856.836)
=0.504603 / 0.510686
=0.9881

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)
=((169576.824 + 47842.224) / 635437.418) / ((179224.373 + 39811.629) / 613117.025)
=0.342157 / 0.35725
=0.9578

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
=(4606.34 - 0 - 69247.276) / 635437.418
=-0.101727

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.

Shenwan Hongyuan Group Co has a M-score of -2.87 suggests that the company is unlikely to be a manipulator.


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Shenwan Hongyuan Group Co (SZSE:000166) Business Description

Traded in Other Exchanges
Address
No. 19, Taipingqiao Street, No. 358, South Beijing Road, 20th Floor, Dacheng International Building, Urumqi High-tech Zone, Xinjiang, Xicheng District, Beijing, CHN, 100033
Shenwan Hongyuan Group Co Ltd is an investment holding and securities firm. Its business includes banking, insurance, trust, and leasing while consolidating and expanding the advantages of the original securities business and building on the capital market as support. The company's business mainly focuses on four segments, including enterprise finance, personal finance, institutional services and trading, as well as investment management. Majority of the revenue for the firm gets derived from Institutional services and trading segment.