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Ping An Insurance (Group) Co. of China (Ping An Insurance (Group) Co. of China) Beneish M-Score : -2.55 (As of Apr. 27, 2024)


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What is Ping An Insurance (Group) Co. of China 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 Ping An Insurance (Group) Co. of China's Beneish M-Score or its related term are showing as below:

PIAIF' s Beneish M-Score Range Over the Past 10 Years
Min: -2.88   Med: -2.5   Max: -2.1
Current: -2.55

During the past 13 years, the highest Beneish M-Score of Ping An Insurance (Group) Co. of China was -2.10. The lowest was -2.88. And the median was -2.50.


Ping An Insurance (Group) Co. of China 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 Insurance (Group) Co. of China 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 * 1.0755+0.528 * 1+0.404 * 0.9984+0.892 * 0.9232+0.115 * 1
-0.172 * SGAI+4.679 * TATA-0.327 * LVGI
-0.172 * 1.0814+4.679 * -0.017675-0.327 * 1.0242
=-2.58

* 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 $32,064 Mil.
Revenue was 30374.366 + 25490.743 + 25932.529 + 28723.015 = $110,521 Mil.
Gross Profit was 30374.366 + 25490.743 + 25932.529 + 28723.015 = $110,521 Mil.
Total Current Assets was $153,481 Mil.
Total Assets was $1,663,861 Mil.
Property, Plant and Equipment(Net PPE) was $7,638 Mil.
Depreciation, Depletion and Amortization(DDA) was $0 Mil.
Selling, General, & Admin. Expense(SGA) was $11,004 Mil.
Total Current Liabilities was $22,242 Mil.
Long-Term Debt & Capital Lease Obligation was $193,872 Mil.
Net Income was 5097.41 + -267.5 + 2430.014 + 4397.045 = $11,657 Mil.
Non Operating Income was 2407.832 + 2623.176 + 2455.501 + 2540.006 = $10,027 Mil.
Cash Flow from Operations was 10408.665 + 6688.188 + 20601.954 + -6659.173 = $31,040 Mil.
Total Receivables was $32,295 Mil.
Revenue was 32666.705 + 26059.785 + 26714.153 + 34276.945 = $119,718 Mil.
Gross Profit was 32666.705 + 26059.785 + 26714.153 + 34276.945 = $119,718 Mil.
Total Current Assets was $147,538 Mil.
Total Assets was $1,638,029 Mil.
Property, Plant and Equipment(Net PPE) was $8,769 Mil.
Depreciation, Depletion and Amortization(DDA) was $0 Mil.
Selling, General, & Admin. Expense(SGA) was $11,023 Mil.
Total Current Liabilities was $28,077 Mil.
Long-Term Debt & Capital Lease Obligation was $179,657 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)
=(32063.598 / 110520.653) / (32294.911 / 119717.588)
=0.290114 / 0.269759
=1.0755

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)
=(119717.588 / 119717.588) / (110520.653 / 110520.653)
=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 - (153480.525 + 7638.409) / 1663861.14) / (1 - (147538.058 + 8769.246) / 1638029.14)
=0.903166 / 0.904576
=0.9984

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
=110520.653 / 119717.588
=0.9232

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 + 8769.246)) / (0 / (0 + 7638.409))
=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)
=(11004.443 / 110520.653) / (11023.031 / 119717.588)
=0.099569 / 0.092075
=1.0814

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)
=((193872.249 + 22242.032) / 1663861.14) / ((179657.374 + 28076.594) / 1638029.14)
=0.129887 / 0.126819
=1.0242

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
=(11656.969 - 10026.515 - 31039.634) / 1663861.14
=-0.017675

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 Insurance (Group) Co. of China has a M-score of -2.58 suggests that the company is unlikely to be a manipulator.


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Ping An Insurance (Group) Co. of China (Ping An Insurance (Group) Co. of China) Business Description

Address
No. 5033 Yitian Road, Ping An Finance Center, 47th, 48th, 109th, 110th, 111th and 112th Floors, Futian District, Guangdong Province, Shenzhen, CHN, 518033
Founded in 1988, Ping An Insurance is an integrated financial service provider headquartered in Shenzhen. The company has a focus on the offerings of healthcare services and integrated financial products. Ping An is China's second-largest life and P&C insurer. The company strives for an integrated financial services platform comprising life insurance, P&C insurance, banking, other financial services, and technology. These business segments contributed 65%, 5%, 26%, 2%, and 4% of the company's operating profits, respectively, in 2022.