GURUFOCUS.COM » STOCK LIST » Financial Services » Banks » United Commercial Bank PLC (DHA:UCB) » Definitions » Beneish M-Score

United Commercial Bank (DHA:UCB) Beneish M-Score : -2.71 (As of Apr. 26, 2024)


View and export this data going back to . Start your Free Trial

What is United Commercial 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 -2.71 no higher than -1.78, which implies that the company is unlikely to be a manipulator.

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

DHA:UCB' s Beneish M-Score Range Over the Past 10 Years
Min: -2.83   Med: -2.42   Max: -2.13
Current: -2.71

During the past 13 years, the highest Beneish M-Score of United Commercial Bank was -2.13. The lowest was -2.83. And the median was -2.42.


United Commercial 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 United Commercial 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 * 0.9845+0.892 * 1.0219+0.115 * 0.8645
-0.172 * SGAI+4.679 * TATA-0.327 * LVGI
-0.172 * 0.8756+4.679 * -0.080791-0.327 * 0.6154
=-2.71

* 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 (Sep23) TTM:Last Year (Sep22) TTM:
Total Receivables was BDT0 Mil.
Revenue was 7903.518 + 6892.895 + 6889.585 + 6762.812 = BDT28,449 Mil.
Gross Profit was 7903.518 + 6892.895 + 6889.585 + 6762.812 = BDT28,449 Mil.
Total Current Assets was BDT58,007 Mil.
Total Assets was BDT668,454 Mil.
Property, Plant and Equipment(Net PPE) was BDT17,558 Mil.
Depreciation, Depletion and Amortization(DDA) was BDT2,031 Mil.
Selling, General, & Admin. Expense(SGA) was BDT113 Mil.
Total Current Liabilities was BDT9,163 Mil.
Long-Term Debt & Capital Lease Obligation was BDT67,308 Mil.
Net Income was 756.007 + 488.869 + 467.845 + 1415.512 = BDT3,128 Mil.
Non Operating Income was 0 + 0 + 0 + 0 = BDT0 Mil.
Cash Flow from Operations was 8787.448 + 17820.41 + 22892.285 + 7633.251 = BDT57,133 Mil.
Total Receivables was BDT0 Mil.
Revenue was 7368.699 + 7318.544 + 6643.942 + 6509.285 = BDT27,840 Mil.
Gross Profit was 7368.699 + 7318.544 + 6643.942 + 6509.285 = BDT27,840 Mil.
Total Current Assets was BDT45,907 Mil.
Total Assets was BDT634,343 Mil.
Property, Plant and Equipment(Net PPE) was BDT16,953 Mil.
Depreciation, Depletion and Amortization(DDA) was BDT1,669 Mil.
Selling, General, & Admin. Expense(SGA) was BDT126 Mil.
Total Current Liabilities was BDT0 Mil.
Long-Term Debt & Capital Lease Obligation was BDT117,930 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 / 28448.81) / (0 / 27840.47)
=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)
=(27840.47 / 27840.47) / (28448.81 / 28448.81)
=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 - (58006.863 + 17557.638) / 668454.308) / (1 - (45906.838 + 16953.386) / 634342.681)
=0.886956 / 0.900905
=0.9845

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
=28448.81 / 27840.47
=1.0219

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))
=(1669.225 / (1669.225 + 16953.386)) / (2030.891 / (2030.891 + 17557.638))
=0.089634 / 0.103678
=0.8645

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)
=(112.718 / 28448.81) / (125.966 / 27840.47)
=0.003962 / 0.004525
=0.8756

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)
=((67308.249 + 9163.385) / 668454.308) / ((117929.528 + 0) / 634342.681)
=0.114401 / 0.185908
=0.6154

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
=(3128.233 - 0 - 57133.394) / 668454.308
=-0.080791

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.

United Commercial Bank has a M-score of -2.71 suggests that the company is unlikely to be a manipulator.


United Commercial Bank Beneish M-Score Related Terms

Thank you for viewing the detailed overview of United Commercial Bank's Beneish M-Score provided by GuruFocus.com. Please click on the following links to see related term pages.


United Commercial Bank (DHA:UCB) Business Description

Traded in Other Exchanges
N/A
Address
Road No. - 34, Gulshan Avenue, Plot - CWS- (A)-1, Dhaka, BGD, 1212
United Commercial Bank PLC is a commercial bank. The company through its delivery channels and subsidiaries offers a wide range of banking products and services to corporate, SME, and retail customers. Its products and services include deposit products like current deposit, fixed deposit, and UCB Multi-Millionaires. Loan products such as trade finance, import finance, loan syndication, and pacing credit. It also provides other services such as Western Union Money Transfer, online services internet banking. The reportable segments of the company are Corporate Banking, SME Banking, Consumer Banking, Treasury, Investment Banking, Offshore Banking, Card and Alternate Delivery Channel, Mobile Financial Services, and Agent Banking.