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Bank of Suzhou Co (SZSE:002966) Beneish M-Score : -2.55 (As of May. 04, 2024)


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What is Bank of Suzhou 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 -2.55 no higher than -1.78, which implies that the company is unlikely to be a manipulator.

The historical rank and industry rank for Bank of Suzhou Co's Beneish M-Score or its related term are showing as below:

SZSE:002966' s Beneish M-Score Range Over the Past 10 Years
Min: -3.53   Med: -2.44   Max: -1.32
Current: -2.55

During the past 13 years, the highest Beneish M-Score of Bank of Suzhou Co was -1.32. The lowest was -3.53. And the median was -2.44.


Bank of Suzhou 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 Bank of Suzhou 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 * 0.991+0.892 * 1.0032+0.115 * 1
-0.172 * SGAI+4.679 * TATA-0.327 * LVGI
-0.172 * 1.095+4.679 * -0.012987-0.327 * 0.9661
=-2.55

* 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 (Mar24) TTM:Last Year (Mar23) TTM:
Total Receivables was ¥0 Mil.
Revenue was 3209.062 + 2653.538 + 2899.954 + 3090.635 = ¥11,853 Mil.
Gross Profit was 3209.062 + 2653.538 + 2899.954 + 3090.635 = ¥11,853 Mil.
Total Current Assets was ¥72,622 Mil.
Total Assets was ¥648,201 Mil.
Property, Plant and Equipment(Net PPE) was ¥3,329 Mil.
Depreciation, Depletion and Amortization(DDA) was ¥0 Mil.
Selling, General, & Admin. Expense(SGA) was ¥4,374 Mil.
Total Current Liabilities was ¥1,678 Mil.
Long-Term Debt & Capital Lease Obligation was ¥118,174 Mil.
Net Income was 1455.407 + 838.394 + 1128.308 + 1337.868 = ¥4,760 Mil.
Non Operating Income was 0 + 0 + 0 + 0 = ¥0 Mil.
Cash Flow from Operations was 18488.338 + -8182.569 + -5298.571 + 8171.081 = ¥13,178 Mil.
Total Receivables was ¥0 Mil.
Revenue was 3140.527 + 2686.39 + 3058.845 + 2929.665 = ¥11,815 Mil.
Gross Profit was 3140.527 + 2686.39 + 3058.845 + 2929.665 = ¥11,815 Mil.
Total Current Assets was ¥57,245 Mil.
Total Assets was ¥554,986 Mil.
Property, Plant and Equipment(Net PPE) was ¥3,342 Mil.
Depreciation, Depletion and Amortization(DDA) was ¥0 Mil.
Selling, General, & Admin. Expense(SGA) was ¥3,982 Mil.
Total Current Liabilities was ¥1,770 Mil.
Long-Term Debt & Capital Lease Obligation was ¥104,448 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 / 11853.189) / (0 / 11815.427)
=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)
=(11815.427 / 11815.427) / (11853.189 / 11853.189)
=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 - (72622.138 + 3328.608) / 648200.508) / (1 - (57244.587 + 3341.934) / 554986.226)
=0.882828 / 0.890832
=0.991

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
=11853.189 / 11815.427
=1.0032

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 + 3341.934)) / (0 / (0 + 3328.608))
=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)
=(4374.497 / 11853.189) / (3982.084 / 11815.427)
=0.369057 / 0.337024
=1.095

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)
=((118173.986 + 1677.804) / 648200.508) / ((104447.607 + 1770.339) / 554986.226)
=0.184899 / 0.191388
=0.9661

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
=(4759.977 - 0 - 13178.279) / 648200.508
=-0.012987

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.

Bank of Suzhou Co has a M-score of -2.55 suggests that the company is unlikely to be a manipulator.


Bank of Suzhou Co Beneish M-Score Related Terms

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Bank of Suzhou Co (SZSE:002966) Business Description

Traded in Other Exchanges
N/A
Address
728 Zhongyuan Road, Jiangsu Province, Suzhou City, CHN, 215128
Bank of Suzhou Co Ltd operates as a bank. The company offers commercial banking services which includes checking account services, makes various loans, and offers basic financial products like certificates of deposit and savings accounts to individuals and small businesses.