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The Bank of Khyber (KAR:BOK) Beneish M-Score : -2.65 (As of Jun. 04, 2024)


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What is The Bank of Khyber 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 The Bank of Khyber's Beneish M-Score or its related term are showing as below:

KAR:BOK' s Beneish M-Score Range Over the Past 10 Years
Min: -10.96   Med: -2.7   Max: -0.29
Current: -2.65

During the past 13 years, the highest Beneish M-Score of The Bank of Khyber was -0.29. The lowest was -10.96. And the median was -2.70.


The Bank of Khyber 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 The Bank of Khyber 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 * 0.9997+0.892 * 1.6565+0.115 * 0.986
-0.172 * SGAI+4.679 * TATA-0.327 * LVGI
-0.172 * 0.5129+4.679 * -0.184854-0.327 * 0.9179
=-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 3961.512 + 4785.829 + 3902.024 + 3546.031 = ₨16,195 Mil.
Gross Profit was 3961.512 + 4785.829 + 3902.024 + 3546.031 = ₨16,195 Mil.
Total Current Assets was ₨0 Mil.
Total Assets was ₨392,679 Mil.
Property, Plant and Equipment(Net PPE) was ₨6,760 Mil.
Depreciation, Depletion and Amortization(DDA) was ₨1,495 Mil.
Selling, General, & Admin. Expense(SGA) was ₨178 Mil.
Total Current Liabilities was ₨0 Mil.
Long-Term Debt & Capital Lease Obligation was ₨3,501 Mil.
Net Income was 772.232 + 1008.318 + 784.205 + 750.09 = ₨3,315 Mil.
Non Operating Income was 0 + 0 + 0 + 0 = ₨0 Mil.
Cash Flow from Operations was 13529.059 + 9144.96 + 22075.064 + 31154.102 = ₨75,903 Mil.
Total Receivables was ₨0 Mil.
Revenue was 3648.611 + 2474.792 + 1749.08 + 1904.318 = ₨9,777 Mil.
Gross Profit was 3648.611 + 2474.792 + 1749.08 + 1904.318 = ₨9,777 Mil.
Total Current Assets was ₨0 Mil.
Total Assets was ₨324,652 Mil.
Property, Plant and Equipment(Net PPE) was ₨5,492 Mil.
Depreciation, Depletion and Amortization(DDA) was ₨1,194 Mil.
Selling, General, & Admin. Expense(SGA) was ₨209 Mil.
Total Current Liabilities was ₨0 Mil.
Long-Term Debt & Capital Lease Obligation was ₨3,153 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 / 16195.396) / (0 / 9776.801)
=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)
=(9776.801 / 9776.801) / (16195.396 / 16195.396)
=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 + 6759.601) / 392679.242) / (1 - (0 + 5492.025) / 324652.393)
=0.982786 / 0.983083
=0.9997

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
=16195.396 / 9776.801
=1.6565

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))
=(1193.772 / (1193.772 + 5492.025)) / (1494.84 / (1494.84 + 6759.601))
=0.178553 / 0.181095
=0.986

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)
=(177.964 / 16195.396) / (209.473 / 9776.801)
=0.010989 / 0.021426
=0.5129

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)
=((3500.999 + 0) / 392679.242) / ((3153.316 + 0) / 324652.393)
=0.008916 / 0.009713
=0.9179

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
=(3314.845 - 0 - 75903.185) / 392679.242
=-0.184854

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.

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


The Bank of Khyber Beneish M-Score Related Terms

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The Bank of Khyber (KAR:BOK) Business Description

Traded in Other Exchanges
N/A
Address
24 - The Mall, Peshawar Cantt, Peshawar, KP, PAK, 25000
The Bank of Khyber is involved in providing various financial services. It operates through various business segments that are Corporate Finance, which includes mergers and acquisition, underwriting, privatization, securitization, research, and others; Trading and Sales, which includes fixed income, equity, foreign exchanges, commodities, credit, funding, own position securities, and others; Retail Banking, which includes retail lending and deposits, banking services, trust and estates, and others; and Commercial Banking, which includes project finance, real estate, export finance, and others. Geographically, the company operates in Pakistan only.