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United Palm Oil Industry PCL (BKK:UPOIC) Beneish M-Score : -1.30 (As of May. 01, 2024)


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What is United Palm Oil Industry 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.

Warning Sign:

Beneish M-Score -1.3 higher than -1.78, which implies that the company might have manipulated its financial results.

The historical rank and industry rank for United Palm Oil Industry PCL's Beneish M-Score or its related term are showing as below:

BKK:UPOIC' s Beneish M-Score Range Over the Past 10 Years
Min: -4.84   Med: -1.79   Max: 3.88
Current: -1.3

During the past 13 years, the highest Beneish M-Score of United Palm Oil Industry PCL was 3.88. The lowest was -4.84. And the median was -1.79.


United Palm Oil Industry PCL Beneish M-Score Historical Data

The historical data trend for United Palm Oil Industry 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.

United Palm Oil Industry PCL Beneish M-Score Chart

United Palm Oil Industry PCL 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 -0.92 -2.28 0.75 -3.36 -1.30

United Palm Oil Industry PCL Quarterly Data
Mar19 Jun19 Sep19 Dec19 Mar20 Jun20 Sep20 Dec20 Mar21 Jun21 Sep21 Dec21 Mar22 Jun22 Sep22 Dec22 Mar23 Jun23 Sep23 Dec23
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 -3.36 - 1.36 -2.18 -1.30

Competitive Comparison of United Palm Oil Industry PCL's Beneish M-Score

For the Farm Products subindustry, United Palm Oil Industry 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.


United Palm Oil Industry PCL's Beneish M-Score Distribution in the Consumer Packaged Goods Industry

For the Consumer Packaged Goods industry and Consumer Defensive sector, United Palm Oil Industry PCL's Beneish M-Score distribution charts can be found below:

* The bar in red indicates where United Palm Oil Industry PCL's Beneish M-Score falls into.



United Palm Oil Industry 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 United Palm Oil Industry 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 * 2.9152+0.528 * 0.9675+0.404 * 1.3413+0.892 * 0.6621+0.115 * 0.9366
-0.172 * SGAI+4.679 * TATA-0.327 * LVGI
-0.172 * 1.7685+4.679 * -0.050402-0.327 * 1.0907
=-1.30

* 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 ฿73 Mil.
Revenue was 344.973 + 252.903 + 317.783 + 565.829 = ฿1,481 Mil.
Gross Profit was 124.146 + 15.437 + 22.752 + 66.739 = ฿229 Mil.
Total Current Assets was ฿588 Mil.
Total Assets was ฿1,843 Mil.
Property, Plant and Equipment(Net PPE) was ฿1,143 Mil.
Depreciation, Depletion and Amortization(DDA) was ฿47 Mil.
Selling, General, & Admin. Expense(SGA) was ฿108 Mil.
Total Current Liabilities was ฿177 Mil.
Long-Term Debt & Capital Lease Obligation was ฿42 Mil.
Net Income was 86.138 + 28.156 + 25.412 + 63.802 = ฿204 Mil.
Non Operating Income was 65.018 + 23.952 + 18.138 + 12.229 = ฿119 Mil.
Cash Flow from Operations was 91.216 + -60.31 + 62.548 + 83.595 = ฿177 Mil.
Total Receivables was ฿38 Mil.
Revenue was 413.667 + 374.227 + 662.576 + 787.059 = ฿2,238 Mil.
Gross Profit was 98.819 + -29.185 + 99.802 + 165.291 = ฿335 Mil.
Total Current Assets was ฿571 Mil.
Total Assets was ฿1,765 Mil.
Property, Plant and Equipment(Net PPE) was ฿1,114 Mil.
Depreciation, Depletion and Amortization(DDA) was ฿43 Mil.
Selling, General, & Admin. Expense(SGA) was ฿92 Mil.
Total Current Liabilities was ฿123 Mil.
Long-Term Debt & Capital Lease Obligation was ฿70 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)
=(72.924 / 1481.488) / (37.78 / 2237.529)
=0.049223 / 0.016885
=2.9152

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)
=(334.727 / 2237.529) / (229.074 / 1481.488)
=0.149597 / 0.154624
=0.9675

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 - (588.441 + 1142.512) / 1842.727) / (1 - (571.022 + 1114.348) / 1765.193)
=0.060657 / 0.045221
=1.3413

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
=1481.488 / 2237.529
=0.6621

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))
=(42.761 / (42.761 + 1114.348)) / (46.929 / (46.929 + 1142.512))
=0.036955 / 0.039455
=0.9366

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)
=(108.217 / 1481.488) / (92.421 / 2237.529)
=0.073046 / 0.041305
=1.7685

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)
=((42.498 + 176.819) / 1842.727) / ((69.771 + 122.839) / 1765.193)
=0.119018 / 0.109116
=1.0907

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
=(203.508 - 119.337 - 177.049) / 1842.727
=-0.050402

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.

United Palm Oil Industry PCL has a M-score of -1.30 signals that the company is likely to be a manipulator.


United Palm Oil Industry PCL Beneish M-Score Related Terms

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United Palm Oil Industry PCL (BKK:UPOIC) Business Description

Traded in Other Exchanges
N/A
Address
64, 1st Floor, Soi Bangna-Trad 25, Bangnanua Sub-District, Bangna District, Bangkok, THA, 10260
United Palm Oil Industry PCL engaged in the manufacture of crude palm oil and palm kernel oil. The company business operations involve 2 principal segments (1) oil palm plantation, crude palm oil and crude palm kernel oil processing (2) generation of electricity from biogases and biomasses. These activities are carried on exclusively in the single geographic area of Thailand.

United Palm Oil Industry PCL (BKK:UPOIC) Headlines

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