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PT Wilmar Cahaya Indonesia Tbk (ISX:CEKA) Beneish M-Score : -3.98 (As of May. 25, 2024)


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What is PT Wilmar Cahaya Indonesia Tbk Beneish M-Score?

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 -3.98 no higher than -1.78, which implies that the company is unlikely to be a manipulator.

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

ISX:CEKA' s Beneish M-Score Range Over the Past 10 Years
Min: -3.98   Med: -2.02   Max: 7.2
Current: -3.98

During the past 13 years, the highest Beneish M-Score of PT Wilmar Cahaya Indonesia Tbk was 7.20. The lowest was -3.98. And the median was -2.02.


PT Wilmar Cahaya Indonesia Tbk Beneish M-Score Historical Data

The historical data trend for PT Wilmar Cahaya Indonesia Tbk's Beneish M-Score can be seen below:

* 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.

* Premium members only.

PT Wilmar Cahaya Indonesia Tbk Beneish M-Score Chart

PT Wilmar Cahaya Indonesia Tbk Annual Data
Trend Dec14 Dec15 Dec16 Dec17 Dec18 Dec19 Dec20 Dec21 Dec22 Dec23
Beneish M-Score
Get a 7-Day Free Trial Premium Member Only Premium Member Only -3.37 -2.30 -1.10 -1.51 -3.95

PT Wilmar Cahaya Indonesia Tbk Quarterly Data
Jun19 Sep19 Dec19 Mar20 Jun20 Sep20 Dec20 Mar21 Jun21 Sep21 Dec21 Mar22 Jun22 Sep22 Dec22 Mar23 Jun23 Sep23 Dec23 Mar24
Beneish M-Score Get a 7-Day Free Trial Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only -2.02 -2.87 -3.77 -3.95 -3.98

Competitive Comparison of PT Wilmar Cahaya Indonesia Tbk's Beneish M-Score

For the Packaged Foods subindustry, PT Wilmar Cahaya Indonesia Tbk's Beneish M-Score, along with its competitors' market caps and Beneish M-Score data, can be viewed below:

* Competitive companies are chosen from companies within the same industry, with headquarter located in same country, with closest market capitalization; x-axis shows the market cap, and y-axis shows the term value; the bigger the dot, the larger the market cap. Note that "N/A" values will not show up in the chart.


PT Wilmar Cahaya Indonesia Tbk's Beneish M-Score Distribution in the Consumer Packaged Goods Industry

For the Consumer Packaged Goods industry and Consumer Defensive sector, PT Wilmar Cahaya Indonesia Tbk's Beneish M-Score distribution charts can be found below:

* The bar in red indicates where PT Wilmar Cahaya Indonesia Tbk's Beneish M-Score falls into.



PT Wilmar Cahaya 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 Wilmar Cahaya 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 * 0.7209+0.528 * 1.1807+0.404 * 0.9257+0.892 * 1.0429+0.115 * 0.9197
-0.172 * SGAI+4.679 * TATA-0.327 * LVGI
-0.172 * 1.4695+4.679 * -0.234301-0.327 * 1.4842
=-3.98

* 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 (Mar24) TTM:Last Year (Mar23) TTM:
Total Receivables was Rp787,463 Mil.
Revenue was 1693431.868 + 1627047.486 + 1679174.162 + 1357944.006 = Rp6,357,598 Mil.
Gross Profit was 105849.659 + 96415.644 + 106594.321 + 42427.151 = Rp351,287 Mil.
Total Current Assets was Rp1,824,117 Mil.
Total Assets was Rp2,135,448 Mil.
Property, Plant and Equipment(Net PPE) was Rp257,071 Mil.
Depreciation, Depletion and Amortization(DDA) was Rp5,597 Mil.
Selling, General, & Admin. Expense(SGA) was Rp78,802 Mil.
Total Current Liabilities was Rp409,050 Mil.
Long-Term Debt & Capital Lease Obligation was Rp0 Mil.
Net Income was 50326.678 + 31486.789 + 49813.485 + 1280.839 = Rp132,908 Mil.
Non Operating Income was 0 + 0 + 0 + 0 = Rp0 Mil.
Cash Flow from Operations was 30870.881 + 129149.883 + 274861.04 + 198362.752 = Rp633,245 Mil.
Total Receivables was Rp1,047,475 Mil.
Revenue was 1673262.972 + 1208020.011 + 1293314.937 + 1921495.417 = Rp6,096,093 Mil.
Gross Profit was 143075.318 + 132430.837 + -21206.325 + 143399.851 = Rp397,700 Mil.
Total Current Assets was Rp1,565,633 Mil.
Total Assets was Rp1,895,234 Mil.
Property, Plant and Equipment(Net PPE) was Rp277,578 Mil.
Depreciation, Depletion and Amortization(DDA) was Rp5,548 Mil.
Selling, General, & Admin. Expense(SGA) was Rp51,421 Mil.
Total Current Liabilities was Rp244,600 Mil.
Long-Term Debt & Capital Lease Obligation was Rp0 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)
=(787462.879 / 6357597.522) / (1047474.794 / 6096093.337)
=0.123862 / 0.171827
=0.7209

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)
=(397699.681 / 6096093.337) / (351286.775 / 6357597.522)
=0.065238 / 0.055255
=1.1807

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 - (1824117.201 + 257070.843) / 2135448.107) / (1 - (1565633.307 + 277578.477) / 1895234.407)
=0.025409 / 0.027449
=0.9257

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
=6357597.522 / 6096093.337
=1.0429

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))
=(5548.319 / (5548.319 + 277578.477)) / (5597.266 / (5597.266 + 257070.843))
=0.019597 / 0.021309
=0.9197

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)
=(78801.799 / 6357597.522) / (51420.586 / 6096093.337)
=0.012395 / 0.008435
=1.4695

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)
=((0 + 409050.305) / 2135448.107) / ((0 + 244600.038) / 1895234.407)
=0.191552 / 0.129061
=1.4842

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
=(132907.791 - 0 - 633244.556) / 2135448.107
=-0.234301

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 Wilmar Cahaya Indonesia Tbk has a M-score of -3.98 suggests that the company is unlikely to be a manipulator.


PT Wilmar Cahaya Indonesia Tbk Beneish M-Score Related Terms

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PT Wilmar Cahaya Indonesia Tbk (ISX:CEKA) Business Description

Traded in Other Exchanges
Address
Jalan Industri Selatan, 3 Blok GG No. 1, Kawasan Industri Jababeka, RT.000 RW.000 Pasirsari Cikarang Selatan, Kab. Bekasi, Jawa Barat, Bekasi, IDN, 17532
PT Wilmar Cahaya Indonesia Tbk manufactures vegetable oil and vegetable oils specialties made from raw materials of palm oil, core palm oil, and tengkawang seeds. The company produces vegetable oils and Specialty Vegetable Oils (MNS) made from Crude Palm Oil, Palm Kernel, and Illipe Nuts and their derivatives. The specialty oils it produces include cocoa butter equivalents (CBE) and cocoa butter substitutes (CBS). It operates through the food industry segment which is the production of vegetable and specialty oils.

PT Wilmar Cahaya Indonesia Tbk (ISX:CEKA) Headlines

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