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Banco BBVA Argentina (Banco BBVA Argentina) Beneish M-Score : -2.64 (As of Apr. 26, 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 -2.64 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:

BBAR' s Beneish M-Score Range Over the Past 10 Years
Min: -3.24   Med: -2.1   Max: 10.71
Current: -2.64

During the past 13 years, the highest Beneish M-Score of Banco BBVA Argentina was 10.71. The lowest was -3.24. And the median was -2.10.


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 * 0.5981+0.528 * 1+0.404 * 1.311+0.892 * 0.7313+0.115 * 1.1847
-0.172 * SGAI+4.679 * TATA-0.327 * LVGI
-0.172 * 0.7476+4.679 * -0.089282-0.327 * 1.451
=-3.46

* 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 $290 Mil.
Revenue was 2902.404 + 876.105 + 946.746 + 780.449 = $5,506 Mil.
Gross Profit was 2902.404 + 876.105 + 946.746 + 780.449 = $5,506 Mil.
Total Current Assets was $5,793 Mil.
Total Assets was $16,926 Mil.
Property, Plant and Equipment(Net PPE) was $826 Mil.
Depreciation, Depletion and Amortization(DDA) was $90 Mil.
Selling, General, & Admin. Expense(SGA) was $1,303 Mil.
Total Current Liabilities was $989 Mil.
Long-Term Debt & Capital Lease Obligation was $175 Mil.
Net Income was 226.102 + 27.52 + 125.242 + 76.076 = $455 Mil.
Non Operating Income was 0 + 0 + 0 + 0 = $0 Mil.
Cash Flow from Operations was 994.31 + 250.25 + 286.754 + 434.764 = $1,966 Mil.
Total Receivables was $662 Mil.
Revenue was 3640.808 + 1627.861 + 1234.754 + 1025.479 = $7,529 Mil.
Gross Profit was 3640.808 + 1627.861 + 1234.754 + 1025.479 = $7,529 Mil.
Total Current Assets was $17,631 Mil.
Total Assets was $36,257 Mil.
Property, Plant and Equipment(Net PPE) was $1,785 Mil.
Depreciation, Depletion and Amortization(DDA) was $234 Mil.
Selling, General, & Admin. Expense(SGA) was $2,384 Mil.
Total Current Liabilities was $1,277 Mil.
Long-Term Debt & Capital Lease Obligation was $442 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)
=(289.595 / 5505.704) / (662.102 / 7528.902)
=0.052599 / 0.087941
=0.5981

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)
=(7528.902 / 7528.902) / (5505.704 / 5505.704)
=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 - (5792.501 + 826.088) / 16925.508) / (1 - (17630.758 + 1785.116) / 36256.826)
=0.608958 / 0.464491
=1.311

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
=5505.704 / 7528.902
=0.7313

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))
=(234.229 / (234.229 + 1785.116)) / (89.66 / (89.66 + 826.088))
=0.115993 / 0.097909
=1.1847

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)
=(1303.31 / 5505.704) / (2383.937 / 7528.902)
=0.23672 / 0.316638
=0.7476

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)
=((175.023 + 989.201) / 16925.508) / ((441.966 + 1276.789) / 36256.826)
=0.068785 / 0.047405
=1.451

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
=(454.94 - 0 - 1966.078) / 16925.508
=-0.089282

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 -3.46 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 (Banco BBVA Argentina) 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.