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Bank Polska Kasa Opieki (WAR:PEO) Beneish M-Score : -2.64 (As of Dec. 15, 2024)


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What is Bank Polska Kasa Opieki 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 -2.64 no higher than -1.78, which implies that the company is unlikely to be a manipulator.

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

WAR:PEO' s Beneish M-Score Range Over the Past 10 Years
Min: -3.16   Med: -2.49   Max: -2.22
Current: -2.64

During the past 13 years, the highest Beneish M-Score of Bank Polska Kasa Opieki was -2.22. The lowest was -3.16. And the median was -2.49.


Bank Polska Kasa Opieki 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 Bank Polska Kasa Opieki 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 * 0.9997+0.892 * 1.0306+0.115 * 0.9851
-0.172 * SGAI+4.679 * TATA-0.327 * LVGI
-0.172 * 1.0674+4.679 * -0.015594-0.327 * 1.3167
=-2.64

* 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 (Sep24) TTM:Last Year (Sep23) TTM:
Total Receivables was zł0 Mil.
Revenue was 4092 + 3744 + 3907 + 4018 = zł15,761 Mil.
Gross Profit was 4092 + 3744 + 3907 + 4018 = zł15,761 Mil.
Total Current Assets was zł0 Mil.
Total Assets was zł324,411 Mil.
Property, Plant and Equipment(Net PPE) was zł1,948 Mil.
Depreciation, Depletion and Amortization(DDA) was zł680 Mil.
Selling, General, & Admin. Expense(SGA) was zł1,417 Mil.
Total Current Liabilities was zł0 Mil.
Long-Term Debt & Capital Lease Obligation was zł24,930 Mil.
Net Income was 1828 + 1419 + 1514 + 1560 = zł6,321 Mil.
Non Operating Income was 0 + 0 + 0 + 0 = zł0 Mil.
Cash Flow from Operations was 3754 + 3417 + 7053 + -2844 = zł11,380 Mil.
Total Receivables was zł0 Mil.
Revenue was 3819 + 3892 + 3627 + 3955.381 = zł15,293 Mil.
Gross Profit was 3819 + 3892 + 3627 + 3955.381 = zł15,293 Mil.
Total Current Assets was zł0 Mil.
Total Assets was zł309,935 Mil.
Property, Plant and Equipment(Net PPE) was zł1,769 Mil.
Depreciation, Depletion and Amortization(DDA) was zł605 Mil.
Selling, General, & Admin. Expense(SGA) was zł1,288 Mil.
Total Current Liabilities was zł0 Mil.
Long-Term Debt & Capital Lease Obligation was zł18,089 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 / 15761) / (0 / 15293.381)
=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)
=(15293.381 / 15293.381) / (15761 / 15761)
=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 + 1948) / 324411) / (1 - (0 + 1769.223) / 309934.759)
=0.993995 / 0.994292
=0.9997

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
=15761 / 15293.381
=1.0306

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))
=(605.282 / (605.282 + 1769.223)) / (680 / (680 + 1948))
=0.254909 / 0.258752
=0.9851

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)
=(1417 / 15761) / (1288.17 / 15293.381)
=0.089905 / 0.084231
=1.0674

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)
=((24930 + 0) / 324411) / ((18088.65 + 0) / 309934.759)
=0.076847 / 0.058363
=1.3167

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
=(6321 - 0 - 11380) / 324411
=-0.015594

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.

Bank Polska Kasa Opieki has a M-score of -2.64 suggests that the company is unlikely to be a manipulator.


Bank Polska Kasa Opieki Beneish M-Score Related Terms

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Bank Polska Kasa Opieki Business Description

Traded in Other Exchanges
Address
?ubra Street 1, Warsaw, POL, 01-066
Bank Polska Kasa Opieki SA is a commercial banking group that provides a wide variety of retail and investment services primarily in Poland. The group's four segments include retail banking, private banking, corporate and investment banking, enterprise bankingand assets and liabilities management. Of these segments, retail banking is the greatest contributor to both net interest income and fee and commission income, followed by corporate and investment banking. The majority of the bank's revenue is net interest income, almost entirely derived from loans and receivables from customers.