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BNP Paribas Bank Polska (WAR:BNP) Beneish M-Score : -2.41 (As of May. 29, 2024)


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What is BNP Paribas Bank Polska 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 -2.41 no higher than -1.78, which implies that the company is unlikely to be a manipulator.

The historical rank and industry rank for BNP Paribas Bank Polska's Beneish M-Score or its related term are showing as below:

WAR:BNP' s Beneish M-Score Range Over the Past 10 Years
Min: -3.1   Med: -2.52   Max: -1.43
Current: -2.41

During the past 13 years, the highest Beneish M-Score of BNP Paribas Bank Polska was -1.43. The lowest was -3.10. And the median was -2.52.


BNP Paribas Bank Polska 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 BNP Paribas Bank Polska 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 * 1.001+0.892 * 1.3801+0.115 * 0.8665
-0.172 * SGAI+4.679 * TATA-0.327 * LVGI
-0.172 * 0.6449+4.679 * -0.057685-0.327 * 1.1381
=-2.41

* 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 zł0 Mil.
Revenue was 2000.075 + 2877.648 + 1584.146 + 1843.531 = zł8,305 Mil.
Gross Profit was 2000.075 + 2877.648 + 1584.146 + 1843.531 = zł8,305 Mil.
Total Current Assets was zł0 Mil.
Total Assets was zł158,840 Mil.
Property, Plant and Equipment(Net PPE) was zł980 Mil.
Depreciation, Depletion and Amortization(DDA) was zł475 Mil.
Selling, General, & Admin. Expense(SGA) was zł1,008 Mil.
Total Current Liabilities was zł0 Mil.
Long-Term Debt & Capital Lease Obligation was zł12,583 Mil.
Net Income was 590.588 + -380.565 + 445.479 + 459.647 = zł1,115 Mil.
Non Operating Income was 0 + 0 + 0 + 0 = zł0 Mil.
Cash Flow from Operations was 2760.729 + 7613.948 + -3147.507 + 3050.625 = zł10,278 Mil.
Total Receivables was zł0 Mil.
Revenue was 1768.237 + 2123.289 + 503.133 + 1623.36 = zł6,018 Mil.
Gross Profit was 1768.237 + 2123.289 + 503.133 + 1623.36 = zł6,018 Mil.
Total Current Assets was zł0 Mil.
Total Assets was zł148,180 Mil.
Property, Plant and Equipment(Net PPE) was zł1,063 Mil.
Depreciation, Depletion and Amortization(DDA) was zł420 Mil.
Selling, General, & Admin. Expense(SGA) was zł1,132 Mil.
Total Current Liabilities was zł0 Mil.
Long-Term Debt & Capital Lease Obligation was zł10,314 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 / 8305.4) / (0 / 6018.019)
=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)
=(6018.019 / 6018.019) / (8305.4 / 8305.4)
=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 + 979.966) / 158840.119) / (1 - (0 + 1063.16) / 148179.538)
=0.99383 / 0.992825
=1.001

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
=8305.4 / 6018.019
=1.3801

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))
=(419.682 / (419.682 + 1063.16)) / (475.371 / (475.371 + 979.966))
=0.283025 / 0.32664
=0.8665

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)
=(1007.683 / 8305.4) / (1132.163 / 6018.019)
=0.121329 / 0.188129
=0.6449

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)
=((12582.68 + 0) / 158840.119) / ((10314.11 + 0) / 148179.538)
=0.079216 / 0.069605
=1.1381

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
=(1115.149 - 0 - 10277.795) / 158840.119
=-0.057685

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.

BNP Paribas Bank Polska has a M-score of -2.41 suggests that the company is unlikely to be a manipulator.


BNP Paribas Bank Polska Beneish M-Score Related Terms

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BNP Paribas Bank Polska (WAR:BNP) Business Description

Traded in Other Exchanges
Address
Kasprzaka 2, Warsaw, POL, 01-211
BNP Paribas Bank Polska SA provides various banking and financial services. It specializes in the financing of agriculture, food economy and regional infrastructure. Further operation of the firm is breakdown into various business segments which include Retail and Business Banking, Small and Medium-Sized Enterprises, Corporate Banking, Corporate and Institutional Banking as well as Other Operations. The bank is engaged in offering services such as saving and current accounts, deposits, e-banking, loans, debit & credit cards, insurances, pensions schemes and corporate banking for individuals, private banking customers, microenterprises, whereas institutional customers and to medium-sized and large enterprises. Business activity of the bank is primarily functioned through the Poland region.