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Bank of Communications Co (FRA:C4C) Beneish M-Score : -2.42 (As of Jun. 22, 2024)


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What is Bank of Communications 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 -2.42 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 Communications Co's Beneish M-Score or its related term are showing as below:

FRA:C4C' s Beneish M-Score Range Over the Past 10 Years
Min: -2.84   Med: -2.45   Max: -2.3
Current: -2.42

During the past 13 years, the highest Beneish M-Score of Bank of Communications Co was -2.30. The lowest was -2.84. And the median was -2.45.


Bank of Communications 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 Communications 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 * 0.999+0.892 * 0.9142+0.115 * 1
-0.172 * SGAI+4.679 * TATA-0.327 * LVGI
-0.172 * 1.0029+4.679 * 0.015129-0.327 * 0.9915
=-2.48

* 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 8553.835 + 7512.254 + 7879.998 + 8992.593 = €32,939 Mil.
Gross Profit was 8553.835 + 7512.254 + 7879.998 + 8992.593 = €32,939 Mil.
Total Current Assets was €0 Mil.
Total Assets was €1,818,933 Mil.
Property, Plant and Equipment(Net PPE) was €28,348 Mil.
Depreciation, Depletion and Amortization(DDA) was €0 Mil.
Selling, General, & Admin. Expense(SGA) was €9,880 Mil.
Total Current Liabilities was €0 Mil.
Long-Term Debt & Capital Lease Obligation was €136,708 Mil.
Net Income was 3192.246 + 3026.015 + 2969.347 + 2758.921 = €11,947 Mil.
Non Operating Income was 0 + 0 + 0 + 0 = €0 Mil.
Cash Flow from Operations was -16065.986 + 16621.508 + 1672.063 + -17799.076 = €-15,571 Mil.
Total Receivables was €0 Mil.
Revenue was 9054.957 + 8252.367 + 9240.719 + 9480.488 = €36,029 Mil.
Gross Profit was 9054.957 + 8252.367 + 9240.719 + 9480.488 = €36,029 Mil.
Total Current Assets was €0 Mil.
Total Assets was €1,850,715 Mil.
Property, Plant and Equipment(Net PPE) was €26,933 Mil.
Depreciation, Depletion and Amortization(DDA) was €0 Mil.
Selling, General, & Admin. Expense(SGA) was €10,775 Mil.
Total Current Liabilities was €0 Mil.
Long-Term Debt & Capital Lease Obligation was €140,293 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 / 32938.68) / (0 / 36028.531)
=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)
=(36028.531 / 36028.531) / (32938.68 / 32938.68)
=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 + 28347.728) / 1818932.683) / (1 - (0 + 26932.689) / 1850714.853)
=0.984415 / 0.985447
=0.999

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
=32938.68 / 36028.531
=0.9142

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 + 26932.689)) / (0 / (0 + 28347.728))
=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)
=(9880.307 / 32938.68) / (10775.497 / 36028.531)
=0.299961 / 0.299082
=1.0029

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)
=((136707.541 + 0) / 1818932.683) / ((140292.604 + 0) / 1850714.853)
=0.075158 / 0.075805
=0.9915

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
=(11946.529 - 0 - -15571.491) / 1818932.683
=0.015129

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 Communications Co has a M-score of -2.48 suggests that the company is unlikely to be a manipulator.


Bank of Communications Co Beneish M-Score Related Terms

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Bank of Communications Co (FRA:C4C) Business Description

Address
No.188, Yin Cheng Zhong Lu, Pilot Free Trade Zone, Pudong New District, Shanghai, CHN, 200120
Bank of Communications, or Bocom, is the only state-owned bank with headquarters in Shanghai. As one of China's four oldest banks, Bocom became China's first state-owned shareholding commercial bank in 1987. Today, Bocom is amid a strategic transformation, building itself into a global wealth-management bank with wide-ranging financial operations, including insurance, brokerage, trust, and asset management.