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Bancontander Argentina (XMAD:XBRSB) Beneish M-Score : -2.69 (As of May. 06, 2024)


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What is Bancontander 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 -2.69 no higher than -1.78, which implies that the company is unlikely to be a manipulator.

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

XMAD:XBRSB' s Beneish M-Score Range Over the Past 10 Years
Min: -2.73   Med: -2.33   Max: 0.13
Current: -2.69

During the past 13 years, the highest Beneish M-Score of Bancontander Argentina was 0.13. The lowest was -2.73. And the median was -2.33.


Bancontander 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 Bancontander 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 * 1+0.528 * 1+0.404 * 0.968+0.892 * 0.6889+0.115 * 1.1802
-0.172 * SGAI+4.679 * TATA-0.327 * LVGI
-0.172 * 0.6333+4.679 * -0.132574-0.327 * 1.5007
=-3.47

* 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 €0 Mil.
Revenue was 3590.1 + 1074.988 + 1026.927 + 920.199 = €6,612 Mil.
Gross Profit was 3590.1 + 1074.988 + 1026.927 + 920.199 = €6,612 Mil.
Total Current Assets was €4,531 Mil.
Total Assets was €21,905 Mil.
Property, Plant and Equipment(Net PPE) was €860 Mil.
Depreciation, Depletion and Amortization(DDA) was €357 Mil.
Selling, General, & Admin. Expense(SGA) was €490 Mil.
Total Current Liabilities was €1,142 Mil.
Long-Term Debt & Capital Lease Obligation was €365 Mil.
Net Income was 414.878 + 129.251 + 143.419 + 127.111 = €815 Mil.
Non Operating Income was 0 + 0 + 0 + 0 = €0 Mil.
Cash Flow from Operations was 2894.557 + 413.763 + 213.469 + 196.943 = €3,719 Mil.
Total Receivables was €0 Mil.
Revenue was 4871.107 + 2075.435 + 1439.919 + 1211.853 = €9,598 Mil.
Gross Profit was 4871.107 + 2075.435 + 1439.919 + 1211.853 = €9,598 Mil.
Total Current Assets was €8,453 Mil.
Total Assets was €47,366 Mil.
Property, Plant and Equipment(Net PPE) was €2,022 Mil.
Depreciation, Depletion and Amortization(DDA) was €1,071 Mil.
Selling, General, & Admin. Expense(SGA) was €1,123 Mil.
Total Current Liabilities was €1,585 Mil.
Long-Term Debt & Capital Lease Obligation was €587 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 / 6612.214) / (0 / 9598.314)
=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)
=(9598.314 / 9598.314) / (6612.214 / 6612.214)
=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 - (4531.151 + 859.802) / 21905.304) / (1 - (8452.675 + 2022.428) / 47365.715)
=0.753897 / 0.778846
=0.968

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
=6612.214 / 9598.314
=0.6889

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))
=(1071.444 / (1071.444 + 2022.428)) / (357.06 / (357.06 + 859.802))
=0.346312 / 0.293427
=1.1802

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)
=(490.011 / 6612.214) / (1123.098 / 9598.314)
=0.074107 / 0.11701
=0.6333

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)
=((365.174 + 1142.286) / 21905.304) / ((586.743 + 1585.296) / 47365.715)
=0.068817 / 0.045857
=1.5007

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
=(814.659 - 0 - 3718.732) / 21905.304
=-0.132574

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.

Bancontander Argentina has a M-score of -3.47 suggests that the company is unlikely to be a manipulator.


Bancontander Argentina Beneish M-Score Related Terms

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Bancontander Argentina (XMAD:XBRSB) Business Description

Traded in Other Exchanges
N/A
Address
Bartolomé Mitre 480, Buenos Aires, ARG, 1036
Banco Santander Argentina SA Formerly Banco Santander Rio SA is a commercial bank and financial services company. It provides various banking products and services to individual and business customers, and small and medium-sized enterprises. The company offers savings and various accounts; and cards, insurance, and private banking services. It also provides collection and payment, foreign trade, investment, cash management and mutual fund, and transactional services. In addition, the company offers financing, treasury, investment banking, custody, and international and online banking services.