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Banco Hipotecario (BUE:BHIP) Beneish M-Score : -1.70 (As of May. 26, 2024)


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What is Banco Hipotecario 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 -1.7 higher than -1.78, which implies that the company might have manipulated its financial results.

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

BUE:BHIP' s Beneish M-Score Range Over the Past 10 Years
Min: -2.97   Med: -1.79   Max: 1.08
Current: -1.7

During the past 13 years, the highest Beneish M-Score of Banco Hipotecario was 1.08. The lowest was -2.97. And the median was -1.79.


Banco Hipotecario 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 Hipotecario 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+0.528 * 1+0.404 * 1.0055+0.892 * 1.7212+0.115 * 1.1538
-0.172 * SGAI+4.679 * TATA-0.327 * LVGI
-0.172 * 0.5833+4.679 * -0.010391-0.327 * 0.7193
=-1.70

* 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 ARS0 Mil.
Revenue was 215864.217 + 45822.635 + 34217.623 + 25425.68 = ARS321,330 Mil.
Gross Profit was 215864.217 + 45822.635 + 34217.623 + 25425.68 = ARS321,330 Mil.
Total Current Assets was ARS0 Mil.
Total Assets was ARS1,515,670 Mil.
Property, Plant and Equipment(Net PPE) was ARS40,027 Mil.
Depreciation, Depletion and Amortization(DDA) was ARS4,711 Mil.
Selling, General, & Admin. Expense(SGA) was ARS9,176 Mil.
Total Current Liabilities was ARS0 Mil.
Long-Term Debt & Capital Lease Obligation was ARS53,245 Mil.
Net Income was 43114.316 + 1936.456 + 4015.427 + 3655.717 = ARS52,722 Mil.
Non Operating Income was 0 + 0 + 0 + 0 = ARS0 Mil.
Cash Flow from Operations was 56178.767 + 7761.331 + -1649.685 + 6180.948 = ARS68,471 Mil.
Total Receivables was ARS0 Mil.
Revenue was 106779.806 + 32887.299 + 28572.575 + 18445.403 = ARS186,685 Mil.
Gross Profit was 106779.806 + 32887.299 + 28572.575 + 18445.403 = ARS186,685 Mil.
Total Current Assets was ARS0 Mil.
Total Assets was ARS1,254,396 Mil.
Property, Plant and Equipment(Net PPE) was ARS39,840 Mil.
Depreciation, Depletion and Amortization(DDA) was ARS5,510 Mil.
Selling, General, & Admin. Expense(SGA) was ARS9,139 Mil.
Total Current Liabilities was ARS0 Mil.
Long-Term Debt & Capital Lease Obligation was ARS61,260 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)
=(0 / 321330.155) / (0 / 186685.083)
=0 / 0
=1

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)
=(186685.083 / 186685.083) / (321330.155 / 321330.155)
=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 + 40026.528) / 1515670.396) / (1 - (0 + 39839.89) / 1254396.364)
=0.973592 / 0.96824
=1.0055

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
=321330.155 / 186685.083
=1.7212

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))
=(5509.694 / (5509.694 + 39839.89)) / (4710.997 / (4710.997 + 40026.528))
=0.121494 / 0.105303
=1.1538

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)
=(9176.105 / 321330.155) / (9139.488 / 186685.083)
=0.028557 / 0.048957
=0.5833

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)
=((53245.483 + 0) / 1515670.396) / ((61260.004 + 0) / 1254396.364)
=0.03513 / 0.048836
=0.7193

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
=(52721.916 - 0 - 68471.361) / 1515670.396
=-0.010391

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 Hipotecario has a M-score of -1.70 signals that the company is likely to be a manipulator.


Banco Hipotecario Beneish M-Score Related Terms

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Banco Hipotecario (BUE:BHIP) Business Description

Traded in Other Exchanges
N/A
Address
Reconquista 151, Buenos Aires, ARG
Banco Hipotecario SA acts as a banking corporation based in Argentina. The company's operating segment includes Finance, Wholesale Banking, Retail Banking, and Others. Retail Banking segment includes loans granted and other credit products, such as deposit taking from individuals. The Wholesale Banking segment encompasses corporate and financial advice, as well as asset management and loans to large customers. It generates maximum revenue from the Retail banking segment. Some of its product include mortgage credits, personal loans, insurance, cash management, and others. Geographically, it operates only in Argentina.