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Moneta Money Bank AS (FRA:MM0) Beneish M-Score : -2.83 (As of Dec. 12, 2024)


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What is Moneta Money Bank AS 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 -2.83 no higher than -1.78, which implies that the company is unlikely to be a manipulator.

The historical rank and industry rank for Moneta Money Bank AS's Beneish M-Score or its related term are showing as below:

FRA:MM0' s Beneish M-Score Range Over the Past 10 Years
Min: -3.38   Med: -2.77   Max: -2.07
Current: -2.83

During the past 9 years, the highest Beneish M-Score of Moneta Money Bank AS was -2.07. The lowest was -3.38. And the median was -2.77.


Moneta Money Bank AS 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 Moneta Money Bank AS 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 * 1.0009+0.892 * 1.0137+0.115 * 0.9741
-0.172 * SGAI+4.679 * TATA-0.327 * LVGI
-0.172 * 0.9489+4.679 * -0.048672-0.327 * 1.5317
=-2.86

* 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 €0.0 Mil.
Revenue was 129.458 + 125.28 + 123.242 + 129.607 = €507.6 Mil.
Gross Profit was 129.458 + 125.28 + 123.242 + 129.607 = €507.6 Mil.
Total Current Assets was €0.0 Mil.
Total Assets was €19,465.3 Mil.
Property, Plant and Equipment(Net PPE) was €89.2 Mil.
Depreciation, Depletion and Amortization(DDA) was €48.4 Mil.
Selling, General, & Admin. Expense(SGA) was €53.8 Mil.
Total Current Liabilities was €0.0 Mil.
Long-Term Debt & Capital Lease Obligation was €863.5 Mil.
Net Income was 61.081 + 57.195 + 50.847 + 50.176 = €219.3 Mil.
Non Operating Income was 0 + 0 + 0 + 0 = €0.0 Mil.
Cash Flow from Operations was -258.558 + 727.319 + 226.714 + 471.235 = €1,166.7 Mil.
Total Receivables was €0.0 Mil.
Revenue was 130.341 + 127.851 + 119.942 + 122.589 = €500.7 Mil.
Gross Profit was 130.341 + 127.851 + 119.942 + 122.589 = €500.7 Mil.
Total Current Assets was €0.0 Mil.
Total Assets was €18,429.3 Mil.
Property, Plant and Equipment(Net PPE) was €100.3 Mil.
Depreciation, Depletion and Amortization(DDA) was €52.3 Mil.
Selling, General, & Admin. Expense(SGA) was €55.9 Mil.
Total Current Liabilities was €0.0 Mil.
Long-Term Debt & Capital Lease Obligation was €533.7 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 / 507.587) / (0 / 500.723)
=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)
=(500.723 / 500.723) / (507.587 / 507.587)
=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 + 89.15) / 19465.347) / (1 - (0 + 100.259) / 18429.317)
=0.99542 / 0.99456
=1.0009

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
=507.587 / 500.723
=1.0137

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))
=(52.262 / (52.262 + 100.259)) / (48.375 / (48.375 + 89.15))
=0.342654 / 0.351754
=0.9741

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)
=(53.81 / 507.587) / (55.943 / 500.723)
=0.106011 / 0.111724
=0.9489

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)
=((863.467 + 0) / 19465.347) / ((533.719 + 0) / 18429.317)
=0.044359 / 0.02896
=1.5317

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
=(219.299 - 0 - 1166.71) / 19465.347
=-0.048672

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.

Moneta Money Bank AS has a M-score of -2.86 suggests that the company is unlikely to be a manipulator.


Moneta Money Bank AS Beneish M-Score Related Terms

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Moneta Money Bank AS Business Description

Traded in Other Exchanges
Address
Vyskocilova 1442/1b, Michle, 140 00, Prague 4, Prague, CZE, 140 28
Moneta Money Bank AS is a small and medium enterprise banking institution based in the Czech Republic. The company's segment includes Commercial, Retail, and Other/Treasury. It generates maximum revenue from the Retail segment. The Retail segment focuses on deposits, loans, revolving products, credit cards, mortgages, building savings, and other transactions with retail customers. The Commercial segment consists of deposits, investment loans, revolving products, financing of real estate, and other services related to transactions with small and medium-sized enterprises, corporate clients, financial institutions, and public sector institutions. The Other/Treasury segment provides mainly the treasury function.