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Sberbank of Russia PJSC (MIC:SBER) Beneish M-Score : -2.82 (As of Apr. 24, 2024)


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What is Sberbank of Russia PJSC 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 -2.82 no higher than -1.78, which implies that the company is unlikely to be a manipulator.

The historical rank and industry rank for Sberbank of Russia PJSC's Beneish M-Score or its related term are showing as below:

MIC:SBER' s Beneish M-Score Range Over the Past 10 Years
Min: -3.66   Med: -2.3   Max: -2.09
Current: -2.82

During the past 13 years, the highest Beneish M-Score of Sberbank of Russia PJSC was -2.09. The lowest was -3.66. And the median was -2.30.


Sberbank of Russia PJSC 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 Sberbank of Russia PJSC 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 * 1.0848+0.892 * 0.5973+0.115 * 1
-0.172 * SGAI+4.679 * TATA-0.327 * LVGI
-0.172 * 2.631+4.679 * 0.02243-0.327 * 0.4978
=-2.82

* 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 (Jun23) TTM:Last Year (Sep21) TTM:
Total Receivables was ₽0 Mil.
Revenue was 715020.826 + 669955.275 + 0 + 336800 = ₽1,721,776 Mil.
Gross Profit was 715020.826 + 669955.275 + 0 + 336800 = ₽1,721,776 Mil.
Total Current Assets was ₽2,030,631 Mil.
Total Assets was ₽44,512,025 Mil.
Property, Plant and Equipment(Net PPE) was ₽722,587 Mil.
Depreciation, Depletion and Amortization(DDA) was ₽0 Mil.
Selling, General, & Admin. Expense(SGA) was ₽1,213,883 Mil.
Total Current Liabilities was ₽0 Mil.
Long-Term Debt & Capital Lease Obligation was ₽1,003,038 Mil.
Net Income was 377614.75 + 350205.183 + 0 + 270600 = ₽998,420 Mil.
Non Operating Income was 0 + 0 + 0 + 0 = ₽0 Mil.
Cash Flow from Operations was 0 + 0 + 0 + 0 = ₽0 Mil.
Total Receivables was ₽0 Mil.
Revenue was 765400 + 741600 + 703100 + 672400 = ₽2,882,500 Mil.
Gross Profit was 765400 + 741600 + 703100 + 672400 = ₽2,882,500 Mil.
Total Current Assets was ₽4,554,000 Mil.
Total Assets was ₽39,584,000 Mil.
Property, Plant and Equipment(Net PPE) was ₽797,500 Mil.
Depreciation, Depletion and Amortization(DDA) was ₽94,800 Mil.
Selling, General, & Admin. Expense(SGA) was ₽772,400 Mil.
Total Current Liabilities was ₽170,800 Mil.
Long-Term Debt & Capital Lease Obligation was ₽1,621,000 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 / 1721776.101) / (0 / 2882500)
=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)
=(2882500 / 2882500) / (1721776.101 / 1721776.101)
=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 - (2030630.723 + 722586.6) / 44512025.238) / (1 - (4554000 + 797500) / 39584000)
=0.938147 / 0.864806
=1.0848

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
=1721776.101 / 2882500
=0.5973

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))
=(94800 / (94800 + 797500)) / (0 / (0 + 722586.6))
=0.106242 / 0
=1

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)
=(1213883.334 / 1721776.101) / (772400 / 2882500)
=0.705018 / 0.267962
=2.631

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)
=((1003038.462 + 0) / 44512025.238) / ((1621000 + 170800) / 39584000)
=0.022534 / 0.045266
=0.4978

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
=(998419.933 - 0 - 0) / 44512025.238
=0.02243

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.

Sberbank of Russia PJSC has a M-score of -2.82 suggests that the company is unlikely to be a manipulator.


Sberbank of Russia PJSC Beneish M-Score Related Terms

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Sberbank of Russia PJSC (MIC:SBER) Business Description

Traded in Other Exchanges
Address
19 Vavilova Street, Moscow, RUS, 117997
Sberbank of Russia PJSC is a full-service bank operating primarily in Russia, but with significant exposure to Central and Eastern European countries. The bank has grown into a universal bank through acquisitions since its historical savings bank origins. Sberbank's principal shareholder is the Central Bank of the Russian Federation, which owns just over half of the bank's outstanding shares. The bank's activities are organized by three main priorities: corporate banking, retail banking, and investment banking. Corporate loans constitute the bulk of the bank's earning assets, mostly to corporations with the largest market capitalizations. The bank's development strategy emphasizes customer service, cost management, and technological modernization.