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Banco de Credito del Peru (LIM:CREDITC1) Beneish M-Score : -2.31 (As of May. 27, 2024)


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What is Banco de Credito del Peru 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 -2.31 no higher than -1.78, which implies that the company is unlikely to be a manipulator.

The historical rank and industry rank for Banco de Credito del Peru's Beneish M-Score or its related term are showing as below:

LIM:CREDITC1' s Beneish M-Score Range Over the Past 10 Years
Min: -2.71   Med: -2.34   Max: -2.08
Current: -2.31

During the past 13 years, the highest Beneish M-Score of Banco de Credito del Peru was -2.08. The lowest was -2.71. And the median was -2.34.


Banco de Credito del Peru 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 Banco de Credito del Peru 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 * 0.9996+0.892 * 1.1443+0.115 * 1.0194
-0.172 * SGAI+4.679 * TATA-0.327 * LVGI
-0.172 * 0.9971+4.679 * 0.007525-0.327 * 1.0004
=-2.31

* 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 S/.0 Mil.
Revenue was 4163.975 + 4154.346 + 4147.183 + 4070.984 = S/.16,536 Mil.
Gross Profit was 4163.975 + 4154.346 + 4147.183 + 4070.984 = S/.16,536 Mil.
Total Current Assets was S/.0 Mil.
Total Assets was S/.191,858 Mil.
Property, Plant and Equipment(Net PPE) was S/.1,171 Mil.
Depreciation, Depletion and Amortization(DDA) was S/.436 Mil.
Selling, General, & Admin. Expense(SGA) was S/.2,944 Mil.
Total Current Liabilities was S/.0 Mil.
Long-Term Debt & Capital Lease Obligation was S/.22,507 Mil.
Net Income was 906.061 + 1122.765 + 1296.026 + 1328.187 = S/.4,653 Mil.
Non Operating Income was 0 + 0 + 0 + 0 = S/.0 Mil.
Cash Flow from Operations was 1692.466 + -1622.727 + 2124.994 + 1014.545 = S/.3,209 Mil.
Total Receivables was S/.0 Mil.
Revenue was 3847.376 + 3791.198 + 3524.678 + 3287.49 = S/.14,451 Mil.
Gross Profit was 3847.376 + 3791.198 + 3524.678 + 3287.49 = S/.14,451 Mil.
Total Current Assets was S/.0 Mil.
Total Assets was S/.190,855 Mil.
Property, Plant and Equipment(Net PPE) was S/.1,095 Mil.
Depreciation, Depletion and Amortization(DDA) was S/.419 Mil.
Selling, General, & Admin. Expense(SGA) was S/.2,580 Mil.
Total Current Liabilities was S/.0 Mil.
Long-Term Debt & Capital Lease Obligation was S/.22,379 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 / 16536.488) / (0 / 14450.742)
=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)
=(14450.742 / 14450.742) / (16536.488 / 16536.488)
=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 + 1170.598) / 191858.318) / (1 - (0 + 1095.261) / 190855.279)
=0.993899 / 0.994261
=0.9996

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
=16536.488 / 14450.742
=1.1443

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))
=(418.722 / (418.722 + 1095.261)) / (435.818 / (435.818 + 1170.598))
=0.27657 / 0.271298
=1.0194

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)
=(2944.336 / 16536.488) / (2580.473 / 14450.742)
=0.178051 / 0.17857
=0.9971

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)
=((22506.966 + 0) / 191858.318) / ((22379.309 + 0) / 190855.279)
=0.11731 / 0.117258
=1.0004

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
=(4653.039 - 0 - 3209.278) / 191858.318
=0.007525

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.

Banco de Credito del Peru has a M-score of -2.31 suggests that the company is unlikely to be a manipulator.


Banco de Credito del Peru Beneish M-Score Related Terms

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Banco de Credito del Peru (LIM:CREDITC1) Business Description

Traded in Other Exchanges
N/A
Address
Calle Centenario No. 156, La Molina, Lima, PER, 12
Banco de Credito del Peru operates as a Bank. It offers services including, wholesale banking, retail banking, corporate banking, leasing, mortgage loans, and Middle-Market and Institutional Banking to its customers. The company operates geographically in Peru, Panama, and the United States of America. A majority of it revenues is generated from Peru followed by its other region.