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Oversea-Chinese Banking (FRA:OCBA) Beneish M-Score : -2.35 (As of Apr. 27, 2024)


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What is Oversea-Chinese Banking 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 -2.35 no higher than -1.78, which implies that the company is unlikely to be a manipulator.

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

FRA:OCBA' s Beneish M-Score Range Over the Past 10 Years
Min: -2.69   Med: -2.43   Max: -2.21
Current: -2.35

During the past 13 years, the highest Beneish M-Score of Oversea-Chinese Banking was -2.21. The lowest was -2.69. And the median was -2.43.


Oversea-Chinese Banking 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 Oversea-Chinese Banking 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 * 0.9945+0.892 * 1.1839+0.115 * 0.9841
-0.172 * SGAI+4.679 * TATA-0.327 * LVGI
-0.172 * 1.1104+4.679 * -0.003622-0.327 * 1.0265
=-2.36

* 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 €9,249 Mil.
Gross Profit was €9,249 Mil.
Total Current Assets was €34,158 Mil.
Total Assets was €400,245 Mil.
Property, Plant and Equipment(Net PPE) was €2,429 Mil.
Depreciation, Depletion and Amortization(DDA) was €379 Mil.
Selling, General, & Admin. Expense(SGA) was €14 Mil.
Total Current Liabilities was €14,206 Mil.
Long-Term Debt & Capital Lease Obligation was €18,719 Mil.
Net Income was €4,833 Mil.
Gross Profit was €0 Mil.
Cash Flow from Operations was €6,283 Mil.
Total Receivables was €0 Mil.
Revenue was €7,812 Mil.
Gross Profit was €7,812 Mil.
Total Current Assets was €31,152 Mil.
Total Assets was €388,916 Mil.
Property, Plant and Equipment(Net PPE) was €2,432 Mil.
Depreciation, Depletion and Amortization(DDA) was €372 Mil.
Selling, General, & Admin. Expense(SGA) was €10 Mil.
Total Current Liabilities was €15,367 Mil.
Long-Term Debt & Capital Lease Obligation was €15,801 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 / 9249.164) / (0 / 7812.197)
=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)
=(7812.197 / 7812.197) / (9249.164 / 9249.164)
=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 - (34157.751 + 2428.628) / 400244.582) / (1 - (31151.721 + 2432.277) / 388915.709)
=0.90859 / 0.913647
=0.9945

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
=9249.164 / 7812.197
=1.1839

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))
=(372.209 / (372.209 + 2432.277)) / (378.613 / (378.613 + 2428.628))
=0.132719 / 0.13487
=0.9841

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)
=(13.768 / 9249.164) / (10.475 / 7812.197)
=0.001489 / 0.001341
=1.1104

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)
=((18719.301 + 14205.549) / 400244.582) / ((15801.071 + 15366.711) / 388915.709)
=0.082262 / 0.08014
=1.0265

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
=(4833.163 - 0 - 6282.906) / 400244.582
=-0.003622

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.

Oversea-Chinese Banking has a M-score of -2.36 suggests that the company is unlikely to be a manipulator.


Oversea-Chinese Banking Beneish M-Score Related Terms

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Oversea-Chinese Banking (FRA:OCBA) Business Description

Traded in Other Exchanges
Address
63 Chulia Street, No. 10-00 OCBC Centre East, Singapore, SGP, 049514
Oversea-Chinese Banking, or OCBC, is the longest-established Singapore bank, founded by the merger of three local banks in 1932. The group's operations include consumer banking; wealth management and private banking (offering through its Bank of Singapore subsidiary); small to midsize enterprise and business banking; corporate and institutional banking; and insurance through majority owned Great Eastern.