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Banco BBVA Argentina (FRA:BFP) Beneish M-Score : -1.83 (As of Jun. 09, 2024)


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What is Banco BBVA Argentina 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 -1.83 no higher than -1.78, which implies that the company is unlikely to be a manipulator.

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

FRA:BFP' s Beneish M-Score Range Over the Past 10 Years
Min: -3.91   Med: -2.12   Max: 10.52
Current: -1.83

During the past 13 years, the highest Beneish M-Score of Banco BBVA Argentina was 10.52. The lowest was -3.91. And the median was -2.12.


Banco BBVA Argentina 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 BBVA Argentina 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 * 0.1488+0.528 * 1+0.404 * 0.9549+0.892 * 0.5882+0.115 * 4.2948
-0.172 * SGAI+4.679 * TATA-0.327 * LVGI
-0.172 * 0.7381+4.679 * -0.115734-0.327 * 0.153
=-3.49

* 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 €15 Mil.
Revenue was 981.924 + 2661.504 + 820.91 + 873.847 = €5,338 Mil.
Gross Profit was 981.924 + 2661.504 + 820.91 + 873.847 = €5,338 Mil.
Total Current Assets was €0 Mil.
Total Assets was €8,850 Mil.
Property, Plant and Equipment(Net PPE) was €508 Mil.
Depreciation, Depletion and Amortization(DDA) was €81 Mil.
Selling, General, & Admin. Expense(SGA) was €1,194 Mil.
Total Current Liabilities was €0 Mil.
Long-Term Debt & Capital Lease Obligation was €13 Mil.
Net Income was 37.976 + 207.335 + 25.786 + 115.598 = €387 Mil.
Non Operating Income was 0 + 0 + 0 + 0 = €0 Mil.
Cash Flow from Operations was 0 + 911.782 + 234.485 + 264.674 = €1,411 Mil.
Total Receivables was €172 Mil.
Revenue was 2826.609 + 3436.923 + 1644.14 + 1168.078 = €9,076 Mil.
Gross Profit was 2826.609 + 3436.923 + 1644.14 + 1168.078 = €9,076 Mil.
Total Current Assets was €0 Mil.
Total Assets was €11,157 Mil.
Property, Plant and Equipment(Net PPE) was €144 Mil.
Depreciation, Depletion and Amortization(DDA) was €209 Mil.
Selling, General, & Admin. Expense(SGA) was €2,751 Mil.
Total Current Liabilities was €0 Mil.
Long-Term Debt & Capital Lease Obligation was €111 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)
=(15.065 / 5338.185) / (172.079 / 9075.75)
=0.002822 / 0.01896
=0.1488

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)
=(9075.75 / 9075.75) / (5338.185 / 5338.185)
=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 + 508.484) / 8850.015) / (1 - (0 + 144.448) / 11157.082)
=0.942544 / 0.987053
=0.9549

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
=5338.185 / 9075.75
=0.5882

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))
=(208.628 / (208.628 + 144.448)) / (81.119 / (81.119 + 508.484))
=0.590887 / 0.137582
=4.2948

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)
=(1194.162 / 5338.185) / (2750.831 / 9075.75)
=0.223702 / 0.303097
=0.7381

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)
=((13.428 + 0) / 8850.015) / ((110.596 + 0) / 11157.082)
=0.001517 / 0.009913
=0.153

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
=(386.695 - 0 - 1410.941) / 8850.015
=-0.115734

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 BBVA Argentina has a M-score of -3.49 suggests that the company is unlikely to be a manipulator.


Banco BBVA Argentina Beneish M-Score Related Terms

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Banco BBVA Argentina (FRA:BFP) Business Description

Traded in Other Exchanges
Address
Avenue Cordoba 111, 31st floor, Buenos Aires, ARG, C1054AAA
Banco BBVA Argentina SA is a banking services provider in Argentina. It provides financial assistance to large corporations, small and medium-sized companies, as well as individuals. It bank provides services through retail, corporate, investment banking, and Small and medium-sized companies divisions. Through the retail banking segment, it provides banking products and services to individuals, corporate banking deals with services to corporates, and the small and medium-sized companies segment focused on foreign trade, agricultural business, and digital products. Its geographical segments are Spain, the United States, Mexico, Turkey, South America, and the Rest of Eurasia.