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Bank AL Habib (KAR:BAHL) Beneish M-Score : -2.65 (As of Jun. 07, 2024)


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What is Bank AL Habib 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 -2.65 no higher than -1.78, which implies that the company is unlikely to be a manipulator.

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

KAR:BAHL' s Beneish M-Score Range Over the Past 10 Years
Min: -11.39   Med: -2.7   Max: -1.73
Current: -2.65

During the past 13 years, the highest Beneish M-Score of Bank AL Habib was -1.73. The lowest was -11.39. And the median was -2.70.


Bank AL Habib 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 Bank AL Habib 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 * 0.9965+0.892 * 1.5967+0.115 * 1.1086
-0.172 * SGAI+4.679 * TATA-0.327 * LVGI
-0.172 * 1.0328+4.679 * -0.154281-0.327 * 0.942
=-2.65

* 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 ₨0 Mil.
Revenue was 44357.093 + 46578.282 + 40039.717 + 31639.617 = ₨162,615 Mil.
Gross Profit was 44357.093 + 46578.282 + 40039.717 + 31639.617 = ₨162,615 Mil.
Total Current Assets was ₨0 Mil.
Total Assets was ₨2,875,861 Mil.
Property, Plant and Equipment(Net PPE) was ₨82,332 Mil.
Depreciation, Depletion and Amortization(DDA) was ₨7,383 Mil.
Selling, General, & Admin. Expense(SGA) was ₨2,660 Mil.
Total Current Liabilities was ₨0 Mil.
Long-Term Debt & Capital Lease Obligation was ₨51,369 Mil.
Net Income was 10230.698 + 6335.054 + 11379.099 + 7586.135 = ₨35,531 Mil.
Non Operating Income was 0 + 0 + 0 + 0 = ₨0 Mil.
Cash Flow from Operations was 133332.982 + 262572.016 + 27855.847 + 55460.873 = ₨479,222 Mil.
Total Receivables was ₨0 Mil.
Revenue was 31426.649 + 20288.025 + 26343.59 + 23783.163 = ₨101,841 Mil.
Gross Profit was 31426.649 + 20288.025 + 26343.59 + 23783.163 = ₨101,841 Mil.
Total Current Assets was ₨0 Mil.
Total Assets was ₨2,472,096 Mil.
Property, Plant and Equipment(Net PPE) was ₨62,347 Mil.
Depreciation, Depletion and Amortization(DDA) was ₨6,259 Mil.
Selling, General, & Admin. Expense(SGA) was ₨1,613 Mil.
Total Current Liabilities was ₨0 Mil.
Long-Term Debt & Capital Lease Obligation was ₨46,876 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 / 162614.709) / (0 / 101841.427)
=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)
=(101841.427 / 101841.427) / (162614.709 / 162614.709)
=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 + 82332.472) / 2875861.092) / (1 - (0 + 62346.617) / 2472096.403)
=0.971371 / 0.97478
=0.9965

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
=162614.709 / 101841.427
=1.5967

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))
=(6258.536 / (6258.536 + 62346.617)) / (7382.802 / (7382.802 + 82332.472))
=0.091225 / 0.082291
=1.1086

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)
=(2660.014 / 162614.709) / (1612.984 / 101841.427)
=0.016358 / 0.015838
=1.0328

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)
=((51368.88 + 0) / 2875861.092) / ((46876.033 + 0) / 2472096.403)
=0.017862 / 0.018962
=0.942

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
=(35530.986 - 0 - 479221.718) / 2875861.092
=-0.154281

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.

Bank AL Habib has a M-score of -2.65 suggests that the company is unlikely to be a manipulator.


Bank AL Habib Beneish M-Score Related Terms

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Bank AL Habib (KAR:BAHL) Business Description

Traded in Other Exchanges
N/A
Address
I.I. Chundrigar Road, 2nd Floor, Mackinnons Building, Karachi, SD, PAK
Bank AL Habib Ltd is a banking company in Pakistan. It provides banking services consisting of retail banking, current & savings accounts, credit cards, consumer banking products, provision of banking & other financial services to individual customers, small merchants & small-medium enterprises. The company also provides commercial banking such as banking services including treasury & international trade-related activities to large corporate customers, multinational companies, and government, & semi-government departments & institutions. Geographically, it operates in Pakistan, the Middle East & Asia- Pacific. The majority of revenue is from the Commercial banking segment.