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PKO Bank Polski (LTS:0FMO) Beneish M-Score : -2.41 (As of May. 06, 2024)


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What is PKO Bank Polski 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 PKO Bank Polski's Beneish M-Score or its related term are showing as below:

LTS:0FMO' s Beneish M-Score Range Over the Past 10 Years
Min: -2.99   Med: -2.56   Max: -2.35
Current: -2.41

During the past 13 years, the highest Beneish M-Score of PKO Bank Polski was -2.35. The lowest was -2.99. And the median was -2.56.


PKO Bank Polski 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 PKO Bank Polski 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 * 1.0114+0.892 * 1.4011+0.115 * 1.0396
-0.172 * SGAI+4.679 * TATA-0.327 * LVGI
-0.172 * 0.5035+4.679 * -0.0825-0.327 * 1.0006
=-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 (Dec23) TTM:Last Year (Dec22) TTM:
Total Receivables was zł0 Mil.
Revenue was 6675 + 6175 + 5787 + 5577 = zł24,214 Mil.
Gross Profit was 6675 + 6175 + 5787 + 5577 = zł24,214 Mil.
Total Current Assets was zł31,484 Mil.
Total Assets was zł501,516 Mil.
Property, Plant and Equipment(Net PPE) was zł5,320 Mil.
Depreciation, Depletion and Amortization(DDA) was zł1,371 Mil.
Selling, General, & Admin. Expense(SGA) was zł2,292 Mil.
Total Current Liabilities was zł4,204 Mil.
Long-Term Debt & Capital Lease Obligation was zł22,552 Mil.
Net Income was 680 + 2781 + 587 + 1454 = zł5,502 Mil.
Non Operating Income was 0 + 0 + 0 + 0 = zł0 Mil.
Cash Flow from Operations was 19520 + 13406 + 12092 + 1859 = zł46,877 Mil.
Total Receivables was zł0 Mil.
Revenue was 5494 + 2261 + 5000 + 4527 = zł17,282 Mil.
Gross Profit was 5494 + 2261 + 5000 + 4527 = zł17,282 Mil.
Total Current Assets was zł31,506 Mil.
Total Assets was zł431,447 Mil.
Property, Plant and Equipment(Net PPE) was zł4,681 Mil.
Depreciation, Depletion and Amortization(DDA) was zł1,267 Mil.
Selling, General, & Admin. Expense(SGA) was zł3,249 Mil.
Total Current Liabilities was zł1,522 Mil.
Long-Term Debt & Capital Lease Obligation was zł21,481 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 / 24214) / (0 / 17282)
=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)
=(17282 / 17282) / (24214 / 24214)
=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 - (31484 + 5320) / 501516) / (1 - (31506 + 4681) / 431447)
=0.926615 / 0.916126
=1.0114

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
=24214 / 17282
=1.4011

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))
=(1267 / (1267 + 4681)) / (1371 / (1371 + 5320))
=0.213013 / 0.204902
=1.0396

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)
=(2292 / 24214) / (3249 / 17282)
=0.094656 / 0.187999
=0.5035

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)
=((22552 + 4204) / 501516) / ((21481 + 1522) / 431447)
=0.05335 / 0.053316
=1.0006

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
=(5502 - 0 - 46877) / 501516
=-0.0825

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.

PKO Bank Polski has a M-score of -2.41 suggests that the company is unlikely to be a manipulator.


PKO Bank Polski Beneish M-Score Related Terms

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PKO Bank Polski (LTS:0FMO) Business Description

Traded in Other Exchanges
Address
Pu?awska street 15, Warsaw, POL, 02-515
PKO Bank Polski SA is a universal banking group operating primarily in Poland, with subsidiaries in the Ukraine and Sweden. The bank's corporate strategy places a premium on organic growth and acquisitions. It has a strong presence in retail deposits, mortgage loans, consumer finance, corporate deposits, corporate loans, and asset management. Majority of its net revenue is net interest income, overwhelmingly derived from customer loans. Net fees and commissions, in contrast, are diversified across loans and insurance, mutual funds and brokerage, cards, and customer accounts. The bank has an appreciably large portion of its deposit base originating from retail clients in relation to competitors.