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Ping An Bank Co (SZSE:000001) Beneish M-Score : -2.56 (As of May. 28, 2024)


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What is Ping An Bank 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 -2.56 no higher than -1.78, which implies that the company is unlikely to be a manipulator.

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

SZSE:000001' s Beneish M-Score Range Over the Past 10 Years
Min: -2.97   Med: -2.35   Max: -2
Current: -2.56

During the past 13 years, the highest Beneish M-Score of Ping An Bank Co was -2.00. The lowest was -2.97. And the median was -2.35.


Ping An Bank 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 Ping An Bank 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 * 1.0005+0.892 * 0.8856+0.115 * 1
-0.172 * SGAI+4.679 * TATA-0.327 * LVGI
-0.172 * 1.0256+4.679 * 0.014812-0.327 * 1.119
=-2.56

* 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 38767 + 36984 + 39028 + 43452 = ¥158,231 Mil.
Gross Profit was 38767 + 36984 + 39028 + 43452 = ¥158,231 Mil.
Total Current Assets was ¥0 Mil.
Total Assets was ¥5,729,398 Mil.
Property, Plant and Equipment(Net PPE) was ¥14,990 Mil.
Depreciation, Depletion and Amortization(DDA) was ¥0 Mil.
Selling, General, & Admin. Expense(SGA) was ¥44,582 Mil.
Total Current Liabilities was ¥0 Mil.
Long-Term Debt & Capital Lease Obligation was ¥823,765 Mil.
Net Income was 14932 + 6820 + 14248 + 10785 = ¥46,785 Mil.
Non Operating Income was 0 + 0 + 0 + 0 = ¥0 Mil.
Cash Flow from Operations was -21382 + -23469 + 71689 + -64915 = ¥-38,077 Mil.
Total Receivables was ¥0 Mil.
Revenue was 45091 + 41570 + 46225 + 45791 = ¥178,677 Mil.
Gross Profit was 45091 + 41570 + 46225 + 45791 = ¥178,677 Mil.
Total Current Assets was ¥0 Mil.
Total Assets was ¥5,455,897 Mil.
Property, Plant and Equipment(Net PPE) was ¥16,853 Mil.
Depreciation, Depletion and Amortization(DDA) was ¥0 Mil.
Selling, General, & Admin. Expense(SGA) was ¥49,088 Mil.
Total Current Liabilities was ¥0 Mil.
Long-Term Debt & Capital Lease Obligation was ¥701,022 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 / 158231) / (0 / 178677)
=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)
=(178677 / 178677) / (158231 / 158231)
=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 + 14990) / 5729398) / (1 - (0 + 16853) / 5455897)
=0.997384 / 0.996911
=1.0005

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
=158231 / 178677
=0.8856

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 + 16853)) / (0 / (0 + 14990))
=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)
=(44582 / 158231) / (49088 / 178677)
=0.281753 / 0.27473
=1.0256

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)
=((823765 + 0) / 5729398) / ((701022 + 0) / 5455897)
=0.143779 / 0.128489
=1.119

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
=(46785 - 0 - -38077) / 5729398
=0.014812

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.

Ping An Bank Co has a M-score of -2.56 suggests that the company is unlikely to be a manipulator.


Ping An Bank Co Beneish M-Score Related Terms

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Ping An Bank Co (SZSE:000001) Business Description

Traded in Other Exchanges
N/A
Address
5047 East Shennan Road, Board Office of Ping On Bank, Guangdong, Shenzhen, CHN, 518001
Ping An Bank is a leading nationwide joint-stock commercial bank with headquarters in Shenzhen. Its parent, Ping An Group, the second-largest insurance company in China, owns about a 58% stake in Ping An Bank. The bank was formerly known as Shenzhen Development Bank and was merged with Ping An Bank in mid-2012. The bank offers a full range of commercial banking services, operating 91 branches and 1,058 outlets in China.
Executives
Xiang You Zhi Directors, executives
Xie Yong Lin Director
Yang Zhi Qun Directors, executives
Ju Wei Ping Executives
Qiu Wei Supervisors
Hu Yue Fei Directors, executives
Sun Yong Zhen Supervisors
Wang Song Qi Independent director
Gan Yu Supervisors
Che Guo Bao Supervisors
Wu Peng Executives
Zhou Jian Guo Supervisors
Sun Xian Lang Executives
Wang Li Ping Director
Ye Shu Hong Supervisors