GURUFOCUS.COM » STOCK LIST » Financial Services » Banks » PT Bank Victoria International Tbk (ISX:BVIC) » Definitions » Beneish M-Score

PT Bank Victoria International Tbk (ISX:BVIC) Beneish M-Score : -2.77 (As of May. 21, 2024)


View and export this data going back to 1999. Start your Free Trial

What is PT Bank Victoria International 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 -2.77 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 Victoria International Tbk's Beneish M-Score or its related term are showing as below:

ISX:BVIC' s Beneish M-Score Range Over the Past 10 Years
Min: -3.05   Med: -2.43   Max: -1.88
Current: -2.77

During the past 13 years, the highest Beneish M-Score of PT Bank Victoria International Tbk was -1.88. The lowest was -3.05. And the median was -2.43.


PT Bank Victoria International 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 Victoria International 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 * 1.0039+0.892 * 0.8796+0.115 * 1.0624
-0.172 * SGAI+4.679 * TATA-0.327 * LVGI
-0.172 * 1.2067+4.679 * -0.039748-0.327 * 0.9051
=-2.77

* 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 Rp0 Mil.
Revenue was 770256.048 + -441808.73 + 135499.577 + 197185.707 = Rp661,133 Mil.
Gross Profit was 770256.048 + -441808.73 + 135499.577 + 197185.707 = Rp661,133 Mil.
Total Current Assets was Rp0 Mil.
Total Assets was Rp29,624,240 Mil.
Property, Plant and Equipment(Net PPE) was Rp423,227 Mil.
Depreciation, Depletion and Amortization(DDA) was Rp23,602 Mil.
Selling, General, & Admin. Expense(SGA) was Rp69,179 Mil.
Total Current Liabilities was Rp0 Mil.
Long-Term Debt & Capital Lease Obligation was Rp2,186,949 Mil.
Net Income was -13282.529 + 40776.297 + 28215.349 + 46107.224 = Rp101,816 Mil.
Non Operating Income was 0 + 0 + 0 + 0 = Rp0 Mil.
Cash Flow from Operations was 1110430.817 + 92776.83 + 496883.245 + -420782.509 = Rp1,279,308 Mil.
Total Receivables was Rp0 Mil.
Revenue was 162620.398 + 224597.834 + 216998.241 + 147388.877 = Rp751,605 Mil.
Gross Profit was 162620.398 + 224597.834 + 216998.241 + 147388.877 = Rp751,605 Mil.
Total Current Assets was Rp0 Mil.
Total Assets was Rp25,932,001 Mil.
Property, Plant and Equipment(Net PPE) was Rp470,853 Mil.
Depreciation, Depletion and Amortization(DDA) was Rp27,994 Mil.
Selling, General, & Admin. Expense(SGA) was Rp65,172 Mil.
Total Current Liabilities was Rp0 Mil.
Long-Term Debt & Capital Lease Obligation was Rp2,115,004 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 / 661132.602) / (0 / 751605.35)
=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)
=(751605.35 / 751605.35) / (661132.602 / 661132.602)
=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 + 423227.204) / 29624240.421) / (1 - (0 + 470853.027) / 25932001.125)
=0.985713 / 0.981843
=1.0039

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
=661132.602 / 751605.35
=0.8796

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))
=(27993.646 / (27993.646 + 470853.027)) / (23601.948 / (23601.948 + 423227.204))
=0.056117 / 0.052821
=1.0624

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)
=(69178.659 / 661132.602) / (65171.925 / 751605.35)
=0.104637 / 0.08671
=1.2067

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)
=((2186949.054 + 0) / 29624240.421) / ((2115003.84 + 0) / 25932001.125)
=0.073823 / 0.08156
=0.9051

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
=(101816.341 - 0 - 1279308.383) / 29624240.421
=-0.039748

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 Victoria International Tbk has a M-score of -2.77 suggests that the company is unlikely to be a manipulator.


PT Bank Victoria International Tbk Beneish M-Score Related Terms

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


PT Bank Victoria International Tbk (ISX:BVIC) Business Description

Traded in Other Exchanges
N/A
Address
Jalan Gatot Subroto Kav. 23, Graha BIP Building, 10th Floor, Jakarta Selatan, IDN, 12930
PT Bank Victoria International Tbk is an Indonesia-based private commercial bank. It provides general banking services like collecting deposits, granting loans and advances, clearing and collection services, RTGS, bill payment, and many others. The group's operating segments are conventional segment which is the key revenue driver; and sharia segment. Conventional segment consists of products and services in the forms of savings products, lending products, and services. It operates in Jadetabek, West Java, Central Java, East Java, and Outer Java regions.