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City Bank (DHA:CITYBANK) Beneish M-Score : -2.43 (As of May. 06, 2024)


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What is City 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 -2.43 no higher than -1.78, which implies that the company is unlikely to be a manipulator.

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

DHA:CITYBANK' s Beneish M-Score Range Over the Past 10 Years
Min: -2.81   Med: -2.53   Max: -1.76
Current: -2.43

During the past 13 years, the highest Beneish M-Score of City Bank was -1.76. The lowest was -2.81. And the median was -2.53.


City 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 City 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 * 1.0428+0.892 * 1.1109+0.115 * 0.8618
-0.172 * SGAI+4.679 * TATA-0.327 * LVGI
-0.172 * 0.6086+4.679 * 0.004377-0.327 * 1.4113
=-2.43

* 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 (Dec23) TTM:Last Year (Dec22) TTM:
Total Receivables was BDT0 Mil.
Revenue was 7673.054 + 6929.179 + 6858.163 + 6625.135 = BDT28,086 Mil.
Gross Profit was 7673.054 + 6929.179 + 6858.163 + 6625.135 = BDT28,086 Mil.
Total Current Assets was BDT51,915 Mil.
Total Assets was BDT564,929 Mil.
Property, Plant and Equipment(Net PPE) was BDT11,059 Mil.
Depreciation, Depletion and Amortization(DDA) was BDT2,812 Mil.
Selling, General, & Admin. Expense(SGA) was BDT170 Mil.
Total Current Liabilities was BDT23,026 Mil.
Long-Term Debt & Capital Lease Obligation was BDT37,511 Mil.
Net Income was 2594.618 + 1420.598 + 1475.656 + 893.785 = BDT6,385 Mil.
Non Operating Income was 0 + 0 + 0 + 0 = BDT0 Mil.
Cash Flow from Operations was 10917.693 + -8485.866 + 14340.326 + -12860.214 = BDT3,912 Mil.
Total Receivables was BDT0 Mil.
Revenue was 6932.109 + 6039.639 + 6376.402 + 5933.997 = BDT25,282 Mil.
Gross Profit was 6932.109 + 6039.639 + 6376.402 + 5933.997 = BDT25,282 Mil.
Total Current Assets was BDT65,218 Mil.
Total Assets was BDT514,912 Mil.
Property, Plant and Equipment(Net PPE) was BDT10,937 Mil.
Depreciation, Depletion and Amortization(DDA) was BDT2,316 Mil.
Selling, General, & Admin. Expense(SGA) was BDT251 Mil.
Total Current Liabilities was BDT19,784 Mil.
Long-Term Debt & Capital Lease Obligation was BDT19,312 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 / 28085.531) / (0 / 25282.147)
=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)
=(25282.147 / 25282.147) / (28085.531 / 28085.531)
=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 - (51914.555 + 11058.549) / 564929.462) / (1 - (65218.358 + 10937.381) / 514911.84)
=0.888529 / 0.852099
=1.0428

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
=28085.531 / 25282.147
=1.1109

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))
=(2315.778 / (2315.778 + 10937.381)) / (2812.414 / (2812.414 + 11058.549))
=0.174734 / 0.202755
=0.8618

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)
=(169.94 / 28085.531) / (251.345 / 25282.147)
=0.006051 / 0.009942
=0.6086

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)
=((37511.027 + 23025.569) / 564929.462) / ((19311.546 + 19784.236) / 514911.84)
=0.107158 / 0.075927
=1.4113

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
=(6384.657 - 0 - 3911.939) / 564929.462
=0.004377

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.

City Bank has a M-score of -2.43 suggests that the company is unlikely to be a manipulator.


City Bank Beneish M-Score Related Terms

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City Bank (DHA:CITYBANK) Business Description

Traded in Other Exchanges
N/A
Address
136, Bir Uttam Mir Shawkat Sarak (Gulshan Avenue), Gulshan-2, Dhaka, BGD, 1212
City Bank PLC operates as a commercial bank offering a range of depository, loan, and card products, and services. Its products and services include various types of savings and current accounts, personal loans, debit cards, credit cards, internet banking, corporate banking, SME banking, investment banking, and treasury and syndication services, among others. The company recognizes the majority of its revenue from interest, fees, commission, and investment income.