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Habib Bank (KAR:HBL) Beneish M-Score : -2.52 (As of Apr. 06, 2025)


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What is Habib Bank 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 -2.52 no higher than -1.78, which implies that the company is unlikely to be a manipulator.

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

KAR:HBL' s Beneish M-Score Range Over the Past 10 Years
Min: -3.91   Med: -2.63   Max: -2.08
Current: -2.52

During the past 13 years, the highest Beneish M-Score of Habib Bank was -2.08. The lowest was -3.91. And the median was -2.63.


Habib Bank 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 Habib Bank 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 * 0.9995+0.892 * 1.1048+0.115 * 1.0008
-0.172 * SGAI+4.679 * TATA-0.327 * LVGI
-0.172 * 0.892+4.679 * 0.011662-0.327 * 1.6346
=-2.52

* 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 (Dec24) TTM:Last Year (Dec23) TTM:
Total Receivables was ₨0 Mil.
Revenue was 68861.55 + 83478.476 + 78848.08 + 79144.18 = ₨310,332 Mil.
Gross Profit was 68861.55 + 83478.476 + 78848.08 + 79144.18 = ₨310,332 Mil.
Total Current Assets was ₨0 Mil.
Total Assets was ₨6,055,113 Mil.
Property, Plant and Equipment(Net PPE) was ₨158,233 Mil.
Depreciation, Depletion and Amortization(DDA) was ₨18,221 Mil.
Selling, General, & Admin. Expense(SGA) was ₨18,755 Mil.
Total Current Liabilities was ₨0 Mil.
Long-Term Debt & Capital Lease Obligation was ₨293,163 Mil.
Net Income was 14412.928 + 14450.194 + 14377.433 + 15217.216 = ₨58,458 Mil.
Non Operating Income was 0 + 0 + 0 + 0 = ₨0 Mil.
Cash Flow from Operations was -724042.641 + -7706.494 + 702512.389 + 17076.862 = ₨-12,160 Mil.
Total Receivables was ₨0 Mil.
Revenue was 73856.967 + 76978.734 + 72251.257 + 57798.162 = ₨280,885 Mil.
Gross Profit was 73856.967 + 76978.734 + 72251.257 + 57798.162 = ₨280,885 Mil.
Total Current Assets was ₨0 Mil.
Total Assets was ₨5,534,348 Mil.
Property, Plant and Equipment(Net PPE) was ₨141,894 Mil.
Depreciation, Depletion and Amortization(DDA) was ₨16,354 Mil.
Selling, General, & Admin. Expense(SGA) was ₨19,030 Mil.
Total Current Liabilities was ₨0 Mil.
Long-Term Debt & Capital Lease Obligation was ₨163,922 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 / 310332.286) / (0 / 280885.12)
=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)
=(280885.12 / 280885.12) / (310332.286 / 310332.286)
=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 + 158233.195) / 6055112.877) / (1 - (0 + 141894.467) / 5534348.303)
=0.973868 / 0.974361
=0.9995

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
=310332.286 / 280885.12
=1.1048

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))
=(16354.003 / (16354.003 + 141894.467)) / (18221.001 / (18221.001 + 158233.195))
=0.103344 / 0.103262
=1.0008

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)
=(18755.354 / 310332.286) / (19029.847 / 280885.12)
=0.060436 / 0.06775
=0.892

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)
=((293163.188 + 0) / 6055112.877) / ((163922.316 + 0) / 5534348.303)
=0.048416 / 0.029619
=1.6346

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
=(58457.771 - 0 - -12159.884) / 6055112.877
=0.011662

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.

Habib Bank has a M-score of -2.52 suggests that the company is unlikely to be a manipulator.


Habib Bank Beneish M-Score Related Terms

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Habib Bank Business Description

Traded in Other Exchanges
N/A
Address
HBL Tower, Plot No. G-4, KDA Scheme 5, Block 7 Clifton, Karachi, PAK, 75650
Habib Bank Ltd is engaged in commercial banking related services in Pakistan and overseas. The operating business segments are Retail banking; Consumer, SME and agriculture lending; Corporate, commercial and investment banking; International; Financial Institutions; Treasury; Branchless Banking; Asset Management, Microfinance; and Head Office / Others. The company operates in Pakistan, the Middle East & Africa, Asia, and Europe. The Retail banking segment derives the maximum revenue for the company.