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Banco Macro (BUE:BMA) Beneish M-Score : -1.73 (As of May. 23, 2024)


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What is Banco Macro 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.

Warning Sign:

Beneish M-Score -1.73 higher than -1.78, which implies that the company might have manipulated its financial results.

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

BUE:BMA' s Beneish M-Score Range Over the Past 10 Years
Min: -3.47   Med: -2.16   Max: 5.87
Current: -1.73

During the past 13 years, the highest Beneish M-Score of Banco Macro was 5.87. The lowest was -3.47. And the median was -2.16.


Banco Macro 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 Macro 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 * 0.5828+0.528 * 1+0.404 * 0.9954+0.892 * 1.9263+0.115 * 0.9298
-0.172 * SGAI+4.679 * TATA-0.327 * LVGI
-0.172 * 0.6381+4.679 * 0.09685-0.327 * 1.6059
=-1.73

* 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 ARS395,376 Mil.
Revenue was 1846562.582 + 351041.547 + 262583.358 + 166083.38 = ARS2,626,271 Mil.
Gross Profit was 1846562.582 + 351041.547 + 262583.358 + 166083.38 = ARS2,626,271 Mil.
Total Current Assets was ARS0 Mil.
Total Assets was ARS6,718,211 Mil.
Property, Plant and Equipment(Net PPE) was ARS356,787 Mil.
Depreciation, Depletion and Amortization(DDA) was ARS58,099 Mil.
Selling, General, & Admin. Expense(SGA) was ARS374,356 Mil.
Total Current Liabilities was ARS0 Mil.
Long-Term Debt & Capital Lease Obligation was ARS396,481 Mil.
Net Income was 504049.051 + 7484.647 + 44130.579 + 9763.227 = ARS565,428 Mil.
Non Operating Income was 0 + 0 + 0 + 0 = ARS0 Mil.
Cash Flow from Operations was -152523.739 + -108387.069 + -6390.162 + 182071.883 = ARS-85,229 Mil.
Total Receivables was ARS352,203 Mil.
Revenue was 780702.335 + 284111.139 + 170846.909 + 127746.606 = ARS1,363,407 Mil.
Gross Profit was 780702.335 + 284111.139 + 170846.909 + 127746.606 = ARS1,363,407 Mil.
Total Current Assets was ARS0 Mil.
Total Assets was ARS6,508,794 Mil.
Property, Plant and Equipment(Net PPE) was ARS317,211 Mil.
Depreciation, Depletion and Amortization(DDA) was ARS47,485 Mil.
Selling, General, & Admin. Expense(SGA) was ARS304,557 Mil.
Total Current Liabilities was ARS0 Mil.
Long-Term Debt & Capital Lease Obligation was ARS239,194 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)
=(395375.798 / 2626270.867) / (352203.217 / 1363406.989)
=0.150546 / 0.258326
=0.5828

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)
=(1363406.989 / 1363406.989) / (2626270.867 / 2626270.867)
=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 + 356787.386) / 6718211.111) / (1 - (0 + 317211.464) / 6508793.934)
=0.946893 / 0.951264
=0.9954

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
=2626270.867 / 1363406.989
=1.9263

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))
=(47485.393 / (47485.393 + 317211.464)) / (58098.766 / (58098.766 + 356787.386))
=0.130205 / 0.140035
=0.9298

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)
=(374356.267 / 2626270.867) / (304556.633 / 1363406.989)
=0.142543 / 0.223379
=0.6381

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)
=((396480.596 + 0) / 6718211.111) / ((239194.239 + 0) / 6508793.934)
=0.059016 / 0.036749
=1.6059

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
=(565427.504 - 0 - -85229.087) / 6718211.111
=0.09685

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 Macro has a M-score of -1.73 signals that the company is likely to be a manipulator.


Banco Macro Beneish M-Score Related Terms

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Banco Macro (BUE:BMA) Business Description

Traded in Other Exchanges
Address
Avenida Eduardo Madero 1182, City of Buenos Aires, ARG, 1172
Banco Macro SA is a financial institution and it provides standard banking products and services designed to suit individual needs. It has two categories of customers, retail customers, which include individuals and entrepreneurs, and corporate customers, which include small, medium, and large companies and corporations. In addition, it provides services to four provincial governments. It generates the majority of its revenue from Argentina.