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PT Bank Oke Indonesia Tbk (ISX:DNAR) Beneish M-Score : -2.41 (As of Apr. 06, 2025)


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What is PT Bank Oke Indonesia Tbk 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 -2.41 no higher than -1.78, which implies that the company is unlikely to be a manipulator.

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

ISX:DNAR' s Beneish M-Score Range Over the Past 10 Years
Min: -13.78   Med: -2.38   Max: -2.31
Current: -2.41

During the past 12 years, the highest Beneish M-Score of PT Bank Oke Indonesia Tbk was -2.31. The lowest was -13.78. And the median was -2.38.


PT Bank Oke Indonesia Tbk 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 PT Bank Oke Indonesia Tbk 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 * 1.0017+0.892 * 1.0326+0.115 * 0.9468
-0.172 * SGAI+4.679 * TATA-0.327 * LVGI
-0.172 * 0.8421+4.679 * -0.000465-0.327 * 0.9348
=-2.41

* 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 (Dec24) TTM:Last Year (Dec23) TTM:
Total Receivables was Rp0 Mil.
Revenue was 153115.024 + 166315.841 + 152951.275 + 147537.762 = Rp619,920 Mil.
Gross Profit was 153115.024 + 166315.841 + 152951.275 + 147537.762 = Rp619,920 Mil.
Total Current Assets was Rp0 Mil.
Total Assets was Rp11,870,492 Mil.
Property, Plant and Equipment(Net PPE) was Rp144,555 Mil.
Depreciation, Depletion and Amortization(DDA) was Rp37,191 Mil.
Selling, General, & Admin. Expense(SGA) was Rp92,707 Mil.
Total Current Liabilities was Rp0 Mil.
Long-Term Debt & Capital Lease Obligation was Rp560,952 Mil.
Net Income was 17117.146 + 15594.674 + 12968.571 + 4307.609 = Rp49,988 Mil.
Non Operating Income was 0 + 0 + 0 + 0 = Rp0 Mil.
Cash Flow from Operations was -68799.323 + -530.477 + 371178.086 + -246336.433 = Rp55,512 Mil.
Total Receivables was Rp0 Mil.
Revenue was 164920.027 + 159891.671 + 141235.632 + 134273.684 = Rp600,321 Mil.
Gross Profit was 164920.027 + 159891.671 + 141235.632 + 134273.684 = Rp600,321 Mil.
Total Current Assets was Rp0 Mil.
Total Assets was Rp11,075,151 Mil.
Property, Plant and Equipment(Net PPE) was Rp153,322 Mil.
Depreciation, Depletion and Amortization(DDA) was Rp36,844 Mil.
Selling, General, & Admin. Expense(SGA) was Rp106,609 Mil.
Total Current Liabilities was Rp0 Mil.
Long-Term Debt & Capital Lease Obligation was Rp559,845 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 / 619919.902) / (0 / 600321.014)
=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)
=(600321.014 / 600321.014) / (619919.902 / 619919.902)
=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 + 144555.483) / 11870492.066) / (1 - (0 + 153321.688) / 11075151.084)
=0.987822 / 0.986156
=1.0017

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
=619919.902 / 600321.014
=1.0326

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))
=(36844.023 / (36844.023 + 153321.688)) / (37190.777 / (37190.777 + 144555.483))
=0.193747 / 0.20463
=0.9468

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)
=(92707.489 / 619919.902) / (106608.602 / 600321.014)
=0.149548 / 0.177586
=0.8421

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)
=((560952.22 + 0) / 11870492.066) / ((559845.059 + 0) / 11075151.084)
=0.047256 / 0.05055
=0.9348

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
=(49988 - 0 - 55511.853) / 11870492.066
=-0.000465

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.

PT Bank Oke Indonesia Tbk has a M-score of -2.41 suggests that the company is unlikely to be a manipulator.


PT Bank Oke Indonesia Tbk Beneish M-Score Related Terms

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PT Bank Oke Indonesia Tbk Business Description

Traded in Other Exchanges
N/A
Address
Jalan Ir. H. Juanda No. 12, Central Jakarta, IDN, 10120
PT Bank Oke Indonesia Tbk is an Indonesia-based banking firm that provides banking and financial services. Its products are Savings, Loans, and M-Banking. It operates in DKI Jakarta, Central Java, East Java, and Bali segments in Indonesia.