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Banca Monte dei Paschi di Siena (Banca Monte dei Paschi di Siena) Beneish M-Score : -2.30 (As of Apr. 27, 2024)


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What is Banca Monte dei Paschi di Siena 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 -2.3 no higher than -1.78, which implies that the company is unlikely to be a manipulator.

The historical rank and industry rank for Banca Monte dei Paschi di Siena's Beneish M-Score or its related term are showing as below:

BMDPF' s Beneish M-Score Range Over the Past 10 Years
Min: -2.75   Med: -2.5   Max: -2.17
Current: -2.3

During the past 13 years, the highest Beneish M-Score of Banca Monte dei Paschi di Siena was -2.17. The lowest was -2.75. And the median was -2.50.


Banca Monte dei Paschi di Siena 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 Banca Monte dei Paschi di Siena 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 * 0.9855+0.892 * 1.2471+0.115 * 1.0018
-0.172 * SGAI+4.679 * TATA-0.327 * LVGI
-0.172 * 0.7329+4.679 * 0.002263-0.327 * 1.1881
=-2.27

* 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 $4,343 Mil.
Gross Profit was $4,343 Mil.
Total Current Assets was $16,989 Mil.
Total Assets was $133,712 Mil.
Property, Plant and Equipment(Net PPE) was $2,119 Mil.
Depreciation, Depletion and Amortization(DDA) was $197 Mil.
Selling, General, & Admin. Expense(SGA) was $571 Mil.
Total Current Liabilities was $1,262 Mil.
Long-Term Debt & Capital Lease Obligation was $14,113 Mil.
Net Income was $2,237 Mil.
Gross Profit was $0 Mil.
Cash Flow from Operations was $1,935 Mil.
Total Receivables was $0 Mil.
Revenue was $3,483 Mil.
Gross Profit was $3,483 Mil.
Total Current Assets was $14,405 Mil.
Total Assets was $127,368 Mil.
Property, Plant and Equipment(Net PPE) was $2,195 Mil.
Depreciation, Depletion and Amortization(DDA) was $205 Mil.
Selling, General, & Admin. Expense(SGA) was $625 Mil.
Total Current Liabilities was $1,413 Mil.
Long-Term Debt & Capital Lease Obligation was $10,914 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 / 4342.896) / (0 / 3482.522)
=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)
=(3482.522 / 3482.522) / (4342.896 / 4342.896)
=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 - (16989.477 + 2119.359) / 133711.768) / (1 - (14404.878 + 2195.166) / 127367.907)
=0.857089 / 0.869669
=0.9855

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
=4342.896 / 3482.522
=1.2471

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))
=(204.943 / (204.943 + 2195.166)) / (197.474 / (197.474 + 2119.359))
=0.085389 / 0.085234
=1.0018

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)
=(571.327 / 4342.896) / (625.125 / 3482.522)
=0.131554 / 0.179504
=0.7329

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)
=((14113.091 + 1262.056) / 133711.768) / ((10914.408 + 1412.649) / 127367.907)
=0.114987 / 0.096783
=1.1881

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
=(2237.493 - 0 - 1934.945) / 133711.768
=0.002263

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.

Banca Monte dei Paschi di Siena has a M-score of -2.27 suggests that the company is unlikely to be a manipulator.


Banca Monte dei Paschi di Siena Beneish M-Score Related Terms

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Banca Monte dei Paschi di Siena (Banca Monte dei Paschi di Siena) Business Description

Traded in Other Exchanges
Address
Piazza Salimbeni, 3, Siena, ITA, 53100
Banca Monte dei Paschi di Siena S.p.A. is a banking group operating primarily in Italy, and mainly providing traditional retail and commercial banking services. The group is also active in other business areas such as leasing, factoring, corporate finance, and investment banking through its various subsidiaries. The bank's strategy emphasizes efficiency as well as strengthening of its balance sheet, including its credit quality, liquidity, and capital base. A majority of the group's net revenue is net interest income, followed by net fees and commission income. Loans to customers overwhelmingly constitute a majority of the bank's earning assets, approximately half of which are mortgages.