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Banco Popular (Bogota) (BOG:POPULAR) Beneish M-Score : -2.24 (As of May. 05, 2024)


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What is Banco Popular (Bogota) 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 -2.24 no higher than -1.78, which implies that the company is unlikely to be a manipulator.

The historical rank and industry rank for Banco Popular (Bogota)'s Beneish M-Score or its related term are showing as below:

BOG:POPULAR' s Beneish M-Score Range Over the Past 10 Years
Min: -2.69   Med: -2.55   Max: -2.24
Current: -2.24

During the past 8 years, the highest Beneish M-Score of Banco Popular (Bogota) was -2.24. The lowest was -2.69. And the median was -2.55.


Banco Popular (Bogota) 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 Popular (Bogota) 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 * 0.9335+0.892 * 1.3698+0.115 * 4.0278
-0.172 * SGAI+4.679 * TATA-0.327 * LVGI
-0.172 * 0.0755+4.679 * -0.00761-0.327 * 2.6276
=-2.24

* 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 COP0 Mil.
Revenue was 1582653 + 201705 + 165612 + 218763 = COP2,168,733 Mil.
Gross Profit was 1582653 + 201705 + 165612 + 218763 = COP2,168,733 Mil.
Total Current Assets was COP7,632,828 Mil.
Total Assets was COP85,370,711 Mil.
Property, Plant and Equipment(Net PPE) was COP3,664,942 Mil.
Depreciation, Depletion and Amortization(DDA) was COP135,069 Mil.
Selling, General, & Admin. Expense(SGA) was COP80,404 Mil.
Total Current Liabilities was COP5,793,796 Mil.
Long-Term Debt & Capital Lease Obligation was COP22,138,465 Mil.
Net Income was -74084 + -99168 + -139585 + -85015 = COP-397,852 Mil.
Non Operating Income was 0 + 0 + 0 + 0 = COP0 Mil.
Cash Flow from Operations was -51059 + 387324 + -104173 + 19736 = COP251,828 Mil.
Total Receivables was COP0 Mil.
Revenue was 360977 + 337060 + 423961 + 461249 = COP1,583,247 Mil.
Gross Profit was 360977 + 337060 + 423961 + 461249 = COP1,583,247 Mil.
Total Current Assets was COP1,725,454 Mil.
Total Assets was COP32,667,377 Mil.
Property, Plant and Equipment(Net PPE) was COP578,291 Mil.
Depreciation, Depletion and Amortization(DDA) was COP96,624 Mil.
Selling, General, & Admin. Expense(SGA) was COP777,951 Mil.
Total Current Liabilities was COP216,465 Mil.
Long-Term Debt & Capital Lease Obligation was COP3,851,352 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 / 2168733) / (0 / 1583247)
=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)
=(1583247 / 1583247) / (2168733 / 2168733)
=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 - (7632828 + 3664942) / 85370711) / (1 - (1725454 + 578291) / 32667377)
=0.867662 / 0.929479
=0.9335

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
=2168733 / 1583247
=1.3698

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))
=(96624 / (96624 + 578291)) / (135069 / (135069 + 3664942))
=0.143165 / 0.035544
=4.0278

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)
=(80404 / 2168733) / (777951 / 1583247)
=0.037074 / 0.491364
=0.0755

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)
=((22138465 + 5793796) / 85370711) / ((3851352 + 216465) / 32667377)
=0.327188 / 0.124522
=2.6276

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
=(-397852 - 0 - 251828) / 85370711
=-0.00761

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 Popular (Bogota) has a M-score of -2.24 suggests that the company is unlikely to be a manipulator.


Banco Popular (Bogota) Beneish M-Score Related Terms

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Banco Popular (Bogota) (BOG:POPULAR) Business Description

Traded in Other Exchanges
N/A
Address
Calle 17 No. 7-43, Piso 3, Bogota, COL
Banco Popular SA (Bogota) provides various banking products and services to individuals, agencies, medium-sized businesses, and public sector companies in Colombia. It offers personal, business, and corporate banking services.