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United Overseas Bank (FRA:UOB) Beneish M-Score : -2.30 (As of May. 06, 2024)


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What is United Overseas 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 -2.3 no higher than -1.78, which implies that the company is unlikely to be a manipulator.

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

FRA:UOB' s Beneish M-Score Range Over the Past 10 Years
Min: -2.68   Med: -2.37   Max: -2.3
Current: -2.3

During the past 13 years, the highest Beneish M-Score of United Overseas Bank was -2.30. The lowest was -2.68. And the median was -2.37.


United Overseas 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 Overseas 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 * 1.0015+0.892 * 1.1865+0.115 * 0.9542
-0.172 * SGAI+4.679 * TATA-0.327 * LVGI
-0.172 * 1+4.679 * -0.009656-0.327 * 0.8625
=-2.32

* 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 €0 Mil.
Revenue was €9,593 Mil.
Gross Profit was €9,593 Mil.
Total Current Assets was €55,637 Mil.
Total Assets was €360,384 Mil.
Property, Plant and Equipment(Net PPE) was €2,603 Mil.
Depreciation, Depletion and Amortization(DDA) was €427 Mil.
Selling, General, & Admin. Expense(SGA) was €0 Mil.
Total Current Liabilities was €3,795 Mil.
Long-Term Debt & Capital Lease Obligation was €25,776 Mil.
Net Income was €3,931 Mil.
Gross Profit was €0 Mil.
Cash Flow from Operations was €7,411 Mil.
Total Receivables was €0 Mil.
Revenue was €8,085 Mil.
Gross Profit was €8,085 Mil.
Total Current Assets was €54,939 Mil.
Total Assets was €352,139 Mil.
Property, Plant and Equipment(Net PPE) was €2,411 Mil.
Depreciation, Depletion and Amortization(DDA) was €375 Mil.
Selling, General, & Admin. Expense(SGA) was €0 Mil.
Total Current Liabilities was €4,426 Mil.
Long-Term Debt & Capital Lease Obligation was €29,075 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 / 9592.669) / (0 / 8084.545)
=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)
=(8084.545 / 8084.545) / (9592.669 / 9592.669)
=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 - (55637.483 + 2603.479) / 360384.235) / (1 - (54938.873 + 2411.327) / 352138.955)
=0.838392 / 0.837138
=1.0015

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
=9592.669 / 8084.545
=1.1865

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))
=(375.002 / (375.002 + 2411.327)) / (427.488 / (427.488 + 2603.479))
=0.134586 / 0.14104
=0.9542

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)
=(0 / 9592.669) / (0 / 8084.545)
=0 / 0
=1

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)
=((25775.954 + 3795.076) / 360384.235) / ((29074.893 + 4426.004) / 352138.955)
=0.082054 / 0.095135
=0.8625

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
=(3931.377 - 0 - 7411.172) / 360384.235
=-0.009656

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 Overseas Bank has a M-score of -2.32 suggests that the company is unlikely to be a manipulator.


United Overseas Bank Beneish M-Score Related Terms

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United Overseas Bank (FRA:UOB) Business Description

Traded in Other Exchanges
Address
80 Raffles Place, UOB Plaza, Singapore, SGP, 048624
United Overseas Bank is a diversified financial institution based in Singapore. Its regional reach spans Greater China and Southeast Asia. Key countries include Malaysia, Thailand, and Indonesia. Singapore, its core market, makes up around 50% of its total assets. The group offers a wide range of services, including consumer, commercial and corporate, and investment banking; corporate finance; treasury services; and wealth management, insurance, and brokerage services.