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Kuang Pein Food Products PCL (BKK:POMPUI) Beneish M-Score : -3.70 (As of May. 08, 2024)


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What is Kuang Pein Food Products PCL 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 -3.7 no higher than -1.78, which implies that the company is unlikely to be a manipulator.

The historical rank and industry rank for Kuang Pein Food Products PCL's Beneish M-Score or its related term are showing as below:

BKK:POMPUI' s Beneish M-Score Range Over the Past 10 Years
Min: -3.7   Med: -2.66   Max: -2.03
Current: -3.7

During the past 13 years, the highest Beneish M-Score of Kuang Pein Food Products PCL was -2.03. The lowest was -3.70. And the median was -2.66.


Kuang Pein Food Products PCL Beneish M-Score Historical Data

The historical data trend for Kuang Pein Food Products PCL'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.

Kuang Pein Food Products PCL Beneish M-Score Chart

Kuang Pein Food Products PCL Annual Data
Trend Dec13 Dec14 Dec15 Dec16 Dec17 Dec18 Dec19 Dec20 Dec21 Dec22
Beneish M-Score
Get a 7-Day Free Trial Premium Member Only Premium Member Only -2.95 -2.93 -2.42 -2.76 -2.59

Kuang Pein Food Products PCL Quarterly Data
Dec18 Mar19 Jun19 Sep19 Dec19 Mar20 Jun20 Sep20 Dec20 Mar21 Jun21 Sep21 Dec21 Mar22 Jun22 Sep22 Dec22 Mar23 Jun23 Sep23
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 -2.21 -2.59 -2.58 -2.57 -3.70

Competitive Comparison of Kuang Pein Food Products PCL's Beneish M-Score

For the Packaged Foods subindustry, Kuang Pein Food Products PCL'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.


Kuang Pein Food Products PCL's Beneish M-Score Distribution in the Consumer Packaged Goods Industry

For the Consumer Packaged Goods industry and Consumer Defensive sector, Kuang Pein Food Products PCL's Beneish M-Score distribution charts can be found below:

* The bar in red indicates where Kuang Pein Food Products PCL's Beneish M-Score falls into.



Kuang Pein Food Products PCL 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 Kuang Pein Food Products PCL 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 * 0.9059+0.528 * 0.9488+0.404 * 1.1759+0.892 * 0.8746+0.115 * 1.2571
-0.172 * SGAI+4.679 * TATA-0.327 * LVGI
-0.172 * 1.6323+4.679 * -0.199639-0.327 * 1.1673
=-3.70

* 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 (Sep23) TTM:Last Year (Sep22) TTM:
Total Receivables was ฿133 Mil.
Revenue was 308.66 + 312.547 + 270.176 + 390.685 = ฿1,282 Mil.
Gross Profit was 71.855 + 64.02 + 49.244 + 83.225 = ฿268 Mil.
Total Current Assets was ฿403 Mil.
Total Assets was ฿819 Mil.
Property, Plant and Equipment(Net PPE) was ฿314 Mil.
Depreciation, Depletion and Amortization(DDA) was ฿30 Mil.
Selling, General, & Admin. Expense(SGA) was ฿381 Mil.
Total Current Liabilities was ฿550 Mil.
Long-Term Debt & Capital Lease Obligation was ฿53 Mil.
Net Income was -46.834 + -51.021 + -27.675 + 4.899 = ฿-121 Mil.
Non Operating Income was 0 + 0 + 0 + 0 = ฿0 Mil.
Cash Flow from Operations was 6.413 + 8.42 + -19.852 + 47.941 = ฿43 Mil.
Total Receivables was ฿167 Mil.
Revenue was 354.662 + 364.346 + 340.928 + 405.968 = ฿1,466 Mil.
Gross Profit was 73.73 + 81.286 + 57.628 + 78.474 = ฿291 Mil.
Total Current Assets was ฿488 Mil.
Total Assets was ฿895 Mil.
Property, Plant and Equipment(Net PPE) was ฿311 Mil.
Depreciation, Depletion and Amortization(DDA) was ฿38 Mil.
Selling, General, & Admin. Expense(SGA) was ฿267 Mil.
Total Current Liabilities was ฿521 Mil.
Long-Term Debt & Capital Lease Obligation was ฿43 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)
=(132.636 / 1282.068) / (167.409 / 1465.904)
=0.103455 / 0.114202
=0.9059

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)
=(291.118 / 1465.904) / (268.344 / 1282.068)
=0.198593 / 0.209306
=0.9488

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 - (402.535 + 313.672) / 819.244) / (1 - (487.833 + 311.076) / 894.596)
=0.125771 / 0.106961
=1.1759

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
=1282.068 / 1465.904
=0.8746

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))
=(38.307 / (38.307 + 311.076)) / (29.971 / (29.971 + 313.672))
=0.109642 / 0.087216
=1.2571

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)
=(381.278 / 1282.068) / (267.078 / 1465.904)
=0.297393 / 0.182193
=1.6323

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)
=((53.15 + 550.15) / 819.244) / ((43.076 + 521.29) / 894.596)
=0.736411 / 0.630861
=1.1673

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
=(-120.631 - 0 - 42.922) / 819.244
=-0.199639

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.

Kuang Pein Food Products PCL has a M-score of -3.70 suggests that the company is unlikely to be a manipulator.


Kuang Pein Food Products PCL Beneish M-Score Related Terms

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Kuang Pein Food Products PCL (BKK:POMPUI) Business Description

Traded in Other Exchanges
N/A
Address
88/9 Village No. 4, Na Tham Nua Subdistrict, Mueang Trang District, Trang Province, Bangkok, THA, 92190
Kuang Pei San Food Products PCL operates in the packaged food industry. Its main business activity is manufacturing and selling of tinned foods and seafood processing services. The company operates its business in geographical segments including the Thailand market and overseas market.

Kuang Pein Food Products PCL (BKK:POMPUI) Headlines

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