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Banco Patagonia (Banco Patagonia) Beneish M-Score : -1.80 (As of Apr. 26, 2024)


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What is Banco Patagonia 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 -1.8 no higher than -1.78, which implies that the company is unlikely to be a manipulator.

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

BPATL' s Beneish M-Score Range Over the Past 10 Years
Min: -2.84   Med: -2.03   Max: 0.64
Current: -1.8

During the past 13 years, the highest Beneish M-Score of Banco Patagonia was 0.64. The lowest was -2.84. And the median was -2.03.


Banco Patagonia 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 Patagonia 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 * 1.0334+0.528 * 1+0.404 * 0.9417+0.892 * 0.738+0.115 * 0.9965
-0.172 * SGAI+4.679 * TATA-0.327 * LVGI
-0.172 * 0.6828+4.679 * 0.068781-0.327 * 1.6407
=-2.54

* 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 $275.6 Mil.
Revenue was 1518.53 + 403.705 + 409.865 + 335.893 = $2,668.0 Mil.
Gross Profit was 1518.53 + 403.705 + 409.865 + 335.893 = $2,668.0 Mil.
Total Current Assets was $1,384.2 Mil.
Total Assets was $7,673.2 Mil.
Property, Plant and Equipment(Net PPE) was $279.3 Mil.
Depreciation, Depletion and Amortization(DDA) was $35.9 Mil.
Selling, General, & Admin. Expense(SGA) was $140.7 Mil.
Total Current Liabilities was $870.9 Mil.
Long-Term Debt & Capital Lease Obligation was $140.8 Mil.
Net Income was 124.415 + 45.171 + 45.961 + 30.09 = $245.6 Mil.
Non Operating Income was 0 + 0 + 0 + 0 = $0.0 Mil.
Cash Flow from Operations was -331.743 + 55.725 + -62.686 + 56.576 = $-282.1 Mil.
Total Receivables was $361.4 Mil.
Revenue was 1876.845 + 696.588 + 598.951 + 442.652 = $3,615.0 Mil.
Gross Profit was 1876.845 + 696.588 + 598.951 + 442.652 = $3,615.0 Mil.
Total Current Assets was $2,238.8 Mil.
Total Assets was $17,035.5 Mil.
Property, Plant and Equipment(Net PPE) was $627.8 Mil.
Depreciation, Depletion and Amortization(DDA) was $80.3 Mil.
Selling, General, & Admin. Expense(SGA) was $279.1 Mil.
Total Current Liabilities was $1,348.8 Mil.
Long-Term Debt & Capital Lease Obligation was $20.1 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)
=(275.621 / 2667.993) / (361.385 / 3615.036)
=0.103306 / 0.099967
=1.0334

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)
=(3615.036 / 3615.036) / (2667.993 / 2667.993)
=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 - (1384.229 + 279.299) / 7673.156) / (1 - (2238.839 + 627.84) / 17035.478)
=0.783202 / 0.831723
=0.9417

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
=2667.993 / 3615.036
=0.738

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))
=(80.295 / (80.295 + 627.84)) / (35.86 / (35.86 + 279.299))
=0.113389 / 0.113784
=0.9965

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)
=(140.655 / 2667.993) / (279.098 / 3615.036)
=0.052719 / 0.077205
=0.6828

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)
=((140.772 + 870.878) / 7673.156) / ((20.083 + 1348.82) / 17035.478)
=0.131843 / 0.080356
=1.6407

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
=(245.637 - 0 - -282.128) / 7673.156
=0.068781

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 Patagonia has a M-score of -2.54 suggests that the company is unlikely to be a manipulator.


Banco Patagonia Beneish M-Score Related Terms

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Banco Patagonia (Banco Patagonia) Business Description

Traded in Other Exchanges
Address
Avenida de Mayo 701, 24th Floor, Buenos Aires, ARG
Banco Patagonia SA is a commercial bank based in Argentina. It provides products and services including savings accounts, checking accounts. It also provides mortgage loans, debit and credit cards, fixed-term deposits, consumer and commercial loans personal loans and other banking services. The company serves individuals, foreign residents, corporate customers, large companies, medium and small enterprises as well as agribusiness, private, financial, non-financial and government sector.