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Banco BBVA Argentina (BUE:BBAR) Beneish M-Score : -1.83 (As of May. 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 -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:

BUE:BBAR' 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 * 0.2419+0.528 * 1+0.404 * 0.9549+0.892 * 1.5671+0.115 * 7.4146
-0.172 * SGAI+4.679 * TATA-0.327 * LVGI
-0.172 * 0.7157+4.679 * -0.044328-0.327 * 0.153
=-1.83

* 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 ARS13,796 Mil.
Revenue was 899208 + 1047767.73 + 306592.889 + 227219.141 = ARS2,480,788 Mil.
Gross Profit was 899208 + 1047767.73 + 306592.889 + 227219.141 = ARS2,480,788 Mil.
Total Current Assets was ARS0 Mil.
Total Assets was ARS8,104,497 Mil.
Property, Plant and Equipment(Net PPE) was ARS465,650 Mil.
Depreciation, Depletion and Amortization(DDA) was ARS35,403 Mil.
Selling, General, & Admin. Expense(SGA) was ARS534,871 Mil.
Total Current Liabilities was ARS0 Mil.
Long-Term Debt & Capital Lease Obligation was ARS12,297 Mil.
Net Income was 34777 + 81622.807 + 9630.617 + 30058.049 = ARS156,088 Mil.
Non Operating Income was 0 + 0 + 0 + 0 = ARS0 Mil.
Cash Flow from Operations was 0 + 358945.736 + 87575.154 + 68821.007 = ARS515,342 Mil.
Total Receivables was ARS36,396 Mil.
Revenue was 597855 + 610381.504 + 226191.292 + 148578 = ARS1,583,006 Mil.
Gross Profit was 597855 + 610381.504 + 226191.292 + 148578 = ARS1,583,006 Mil.
Total Current Assets was ARS0 Mil.
Total Assets was ARS2,359,830 Mil.
Property, Plant and Equipment(Net PPE) was ARS30,552 Mil.
Depreciation, Depletion and Amortization(DDA) was ARS33,620 Mil.
Selling, General, & Admin. Expense(SGA) was ARS476,911 Mil.
Total Current Liabilities was ARS0 Mil.
Long-Term Debt & Capital Lease Obligation was ARS23,392 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)
=(13796 / 2480787.76) / (36396.374 / 1583005.796)
=0.005561 / 0.022992
=0.2419

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)
=(1583005.796 / 1583005.796) / (2480787.76 / 2480787.76)
=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 + 465650) / 8104497) / (1 - (0 + 30552.241) / 2359830.386)
=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
=2480787.76 / 1583005.796
=1.5671

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))
=(33619.878 / (33619.878 + 30552.241)) / (35403.453 / (35403.453 + 465650))
=0.523902 / 0.070658
=7.4146

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)
=(534870.539 / 2480787.76) / (476911.172 / 1583005.796)
=0.215605 / 0.301269
=0.7157

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)
=((12297 + 0) / 8104497) / ((23392.131 + 0) / 2359830.386)
=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
=(156088.473 - 0 - 515341.897) / 8104497
=-0.044328

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 -1.83 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 (BUE:BBAR) 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.