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Morrow Bank ASA (OSL:MOBA) Beneish M-Score : -1.96 (As of Dec. 14, 2024)


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What is Morrow Bank ASA 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 -1.96 no higher than -1.78, which implies that the company is unlikely to be a manipulator.

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

OSL:MOBA' s Beneish M-Score Range Over the Past 10 Years
Min: -4.04   Med: -2.29   Max: -1.86
Current: -1.96

During the past 10 years, the highest Beneish M-Score of Morrow Bank ASA was -1.86. The lowest was -4.04. And the median was -2.29.


Morrow Bank ASA 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 Morrow Bank ASA 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 * 1.0007+0.892 * 1.2229+0.115 * 1.2453
-0.172 * SGAI+4.679 * TATA-0.327 * LVGI
-0.172 * 0.6555+4.679 * 0.042334-0.327 * 0.9037
=-1.96

* 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 kr0 Mil.
Revenue was 321.1 + 305.2 + 295.9 + 286.1 = kr1,208 Mil.
Gross Profit was 321.1 + 305.2 + 295.9 + 286.1 = kr1,208 Mil.
Total Current Assets was kr0 Mil.
Total Assets was kr17,948 Mil.
Property, Plant and Equipment(Net PPE) was kr19 Mil.
Depreciation, Depletion and Amortization(DDA) was kr42 Mil.
Selling, General, & Admin. Expense(SGA) was kr158 Mil.
Total Current Liabilities was kr0 Mil.
Long-Term Debt & Capital Lease Obligation was kr399 Mil.
Net Income was 54.1 + 50.6 + 43.7 + 35.1 = kr184 Mil.
Non Operating Income was 0 + 0 + 0 + 0 = kr0 Mil.
Cash Flow from Operations was -1672.3 + 216.3 + 507.1 + 372.6 = kr-576 Mil.
Total Receivables was kr0 Mil.
Revenue was 264.4 + 268.7 + 234.6 + 220.4 = kr988 Mil.
Gross Profit was 264.4 + 268.7 + 234.6 + 220.4 = kr988 Mil.
Total Current Assets was kr0 Mil.
Total Assets was kr12,511 Mil.
Property, Plant and Equipment(Net PPE) was kr22 Mil.
Depreciation, Depletion and Amortization(DDA) was kr138 Mil.
Selling, General, & Admin. Expense(SGA) was kr198 Mil.
Total Current Liabilities was kr0 Mil.
Long-Term Debt & Capital Lease Obligation was kr308 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 / 1208.3) / (0 / 988.1)
=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)
=(988.1 / 988.1) / (1208.3 / 1208.3)
=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 + 18.6) / 17947.8) / (1 - (0 + 22.1) / 12510.8)
=0.998964 / 0.998234
=1.0007

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
=1208.3 / 988.1
=1.2229

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))
=(137.8 / (137.8 + 22.1)) / (41.8 / (41.8 + 18.6))
=0.861789 / 0.692053
=1.2453

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)
=(158.4 / 1208.3) / (197.6 / 988.1)
=0.131093 / 0.19998
=0.6555

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)
=((399.3 + 0) / 17947.8) / ((308 + 0) / 12510.8)
=0.022248 / 0.024619
=0.9037

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
=(183.5 - 0 - -576.3) / 17947.8
=0.042334

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.

Morrow Bank ASA has a M-score of -1.96 suggests that the company is unlikely to be a manipulator.


Morrow Bank ASA Beneish M-Score Related Terms

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Morrow Bank ASA Business Description

Traded in Other Exchanges
Address
Lysaker Torg 35, Lysaker, NOR, 1366
Morrow Bank ASA is a Norwegian bank offering convenient payment and financing products to consumers. It is a focused Nordic digital niche bank offering personal loans, credit cards, deposit accounts, and online point-of-sales finance products to consumers.