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Boubyan Bank KSC (KUW:BOUBYAN) Beneish M-Score : -2.42 (As of May. 19, 2024)


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What is Boubyan Bank KSC 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 -2.42 no higher than -1.78, which implies that the company is unlikely to be a manipulator.

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

KUW:BOUBYAN' s Beneish M-Score Range Over the Past 10 Years
Min: -2.62   Med: -2.43   Max: -2.19
Current: -2.42

During the past 13 years, the highest Beneish M-Score of Boubyan Bank KSC was -2.19. The lowest was -2.62. And the median was -2.43.


Boubyan Bank KSC 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 Boubyan Bank KSC 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 * 0.9991+0.892 * 1.1546+0.115 * 0.997
-0.172 * SGAI+4.679 * TATA-0.327 * LVGI
-0.172 * 1.0361+4.679 * -0.027398-0.327 * 0.8262
=-2.42

* 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 (Mar24) TTM:Last Year (Mar23) TTM:
Total Receivables was KWD0.0 Mil.
Revenue was 61.171 + 52.834 + 54.452 + 56.243 = KWD224.7 Mil.
Gross Profit was 61.171 + 52.834 + 54.452 + 56.243 = KWD224.7 Mil.
Total Current Assets was KWD0.0 Mil.
Total Assets was KWD8,673.1 Mil.
Property, Plant and Equipment(Net PPE) was KWD152.0 Mil.
Depreciation, Depletion and Amortization(DDA) was KWD14.7 Mil.
Selling, General, & Admin. Expense(SGA) was KWD34.6 Mil.
Total Current Liabilities was KWD0.0 Mil.
Long-Term Debt & Capital Lease Obligation was KWD499.3 Mil.
Net Income was 24.992 + 19.338 + 19.827 + 20.661 = KWD84.8 Mil.
Non Operating Income was 0 + 0 + 0 + 0 = KWD0.0 Mil.
Cash Flow from Operations was 263.645 + 20.196 + 116.382 + -77.779 = KWD322.4 Mil.
Total Receivables was KWD0.0 Mil.
Revenue was 53.124 + 44.129 + 48.925 + 48.428 = KWD194.6 Mil.
Gross Profit was 53.124 + 44.129 + 48.925 + 48.428 = KWD194.6 Mil.
Total Current Assets was KWD0.0 Mil.
Total Assets was KWD8,031.0 Mil.
Property, Plant and Equipment(Net PPE) was KWD133.5 Mil.
Depreciation, Depletion and Amortization(DDA) was KWD12.9 Mil.
Selling, General, & Admin. Expense(SGA) was KWD28.9 Mil.
Total Current Liabilities was KWD0.0 Mil.
Long-Term Debt & Capital Lease Obligation was KWD559.5 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 / 224.7) / (0 / 194.606)
=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)
=(194.606 / 194.606) / (224.7 / 224.7)
=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 + 151.967) / 8673.125) / (1 - (0 + 133.549) / 8030.951)
=0.982478 / 0.983371
=0.9991

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
=224.7 / 194.606
=1.1546

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))
=(12.886 / (12.886 + 133.549)) / (14.711 / (14.711 + 151.967))
=0.087998 / 0.08826
=0.997

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)
=(34.571 / 224.7) / (28.898 / 194.606)
=0.153854 / 0.148495
=1.0361

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)
=((499.257 + 0) / 8673.125) / ((559.545 + 0) / 8030.951)
=0.057564 / 0.069674
=0.8262

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
=(84.818 - 0 - 322.444) / 8673.125
=-0.027398

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.

Boubyan Bank KSC has a M-score of -2.42 suggests that the company is unlikely to be a manipulator.


Boubyan Bank KSC Beneish M-Score Related Terms

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Boubyan Bank KSC (KUW:BOUBYAN) Business Description

Traded in Other Exchanges
N/A
Address
Al-Qibla - Abo Bakr Al-Seddiq, P.O. Box 25507, Al-Hamad Towers, 3rd Building, Beside Al-Khrafi Tower, Safat, KWT, 13116
Boubyan Bank KSC is a Kuwait based Islamic banking corporation. The company's operating segment includes Consumer banking; Corporate banking; Investment banking; Treasury and Group centre. It generates maximum revenue from the Consumer banking segment. The Consumer Banking segment provides a diversified range of products and services to individuals and institutional customers. It includes consumer finance, credit cards, deposits, and other branch related services. Geographically, it derives a majority of revenue from the Middle East and North Africa and also has a presence in North America; Europe, and Aisa.