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Gunkul Engineering PCL (BKK:GUNKUL) Beneish M-Score : -2.12 (As of Jun. 09, 2024)


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What is Gunkul Engineering 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 -2.12 no higher than -1.78, which implies that the company is unlikely to be a manipulator.

The historical rank and industry rank for Gunkul Engineering PCL's Beneish M-Score or its related term are showing as below:

BKK:GUNKUL' s Beneish M-Score Range Over the Past 10 Years
Min: -3.98   Med: -2.48   Max: 0.05
Current: -2.12

During the past 13 years, the highest Beneish M-Score of Gunkul Engineering PCL was 0.05. The lowest was -3.98. And the median was -2.48.


Gunkul Engineering PCL Beneish M-Score Historical Data

The historical data trend for Gunkul Engineering 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.

Gunkul Engineering PCL Beneish M-Score Chart

Gunkul Engineering 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 -2.60 -1.80 -3.01 -2.53 -2.41

Gunkul Engineering PCL 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 -2.26 -2.30 -2.40 -2.41 -2.12

Competitive Comparison of Gunkul Engineering PCL's Beneish M-Score

For the Utilities - Independent Power Producers subindustry, Gunkul Engineering 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.


Gunkul Engineering PCL's Beneish M-Score Distribution in the Utilities - Independent Power Producers Industry

For the Utilities - Independent Power Producers industry and Utilities sector, Gunkul Engineering PCL's Beneish M-Score distribution charts can be found below:

* The bar in red indicates where Gunkul Engineering PCL's Beneish M-Score falls into.



Gunkul Engineering 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 Gunkul Engineering 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 * 1.3392+0.528 * 1.156+0.404 * 0.9852+0.892 * 1.1309+0.115 * 1.185
-0.172 * SGAI+4.679 * TATA-0.327 * LVGI
-0.172 * 0.9876+4.679 * -0.030085-0.327 * 1.0749
=-2.12

* 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 ฿4,011 Mil.
Revenue was 2591.833 + 1815.436 + 2247.581 + 1681.562 = ฿8,336 Mil.
Gross Profit was 728.234 + 586.399 + 672.847 + 624.959 = ฿2,612 Mil.
Total Current Assets was ฿7,910 Mil.
Total Assets was ฿34,168 Mil.
Property, Plant and Equipment(Net PPE) was ฿15,279 Mil.
Depreciation, Depletion and Amortization(DDA) was ฿1,017 Mil.
Selling, General, & Admin. Expense(SGA) was ฿1,181 Mil.
Total Current Liabilities was ฿6,915 Mil.
Long-Term Debt & Capital Lease Obligation was ฿12,717 Mil.
Net Income was 299.562 + 105.041 + 461.913 + 451.714 = ฿1,318 Mil.
Non Operating Income was 97.776 + 86.005 + 316.065 + 305.252 = ฿805 Mil.
Cash Flow from Operations was -227.327 + 1063.648 + 288.308 + 416.444 = ฿1,541 Mil.
Total Receivables was ฿2,648 Mil.
Revenue was 1860.663 + 1574.618 + 1922.62 + 2013.87 = ฿7,372 Mil.
Gross Profit was 561.074 + 507.227 + 650.381 + 951.837 = ฿2,671 Mil.
Total Current Assets was ฿7,168 Mil.
Total Assets was ฿32,355 Mil.
Property, Plant and Equipment(Net PPE) was ฿14,635 Mil.
Depreciation, Depletion and Amortization(DDA) was ฿1,169 Mil.
Selling, General, & Admin. Expense(SGA) was ฿1,057 Mil.
Total Current Liabilities was ฿4,539 Mil.
Long-Term Debt & Capital Lease Obligation was ฿12,757 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)
=(4010.661 / 8336.412) / (2648.26 / 7371.771)
=0.481102 / 0.359243
=1.3392

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)
=(2670.519 / 7371.771) / (2612.439 / 8336.412)
=0.362263 / 0.313377
=1.156

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 - (7910.108 + 15278.976) / 34167.767) / (1 - (7167.92 + 14634.971) / 32354.726)
=0.321317 / 0.32613
=0.9852

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
=8336.412 / 7371.771
=1.1309

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))
=(1169.275 / (1169.275 + 14634.971)) / (1017.445 / (1017.445 + 15278.976))
=0.073985 / 0.062434
=1.185

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)
=(1180.568 / 8336.412) / (1057.051 / 7371.771)
=0.141616 / 0.143392
=0.9876

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)
=((12717.415 + 6915.13) / 34167.767) / ((12757.122 + 4538.68) / 32354.726)
=0.574593 / 0.534568
=1.0749

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
=(1318.23 - 805.098 - 1541.073) / 34167.767
=-0.030085

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.

Gunkul Engineering PCL has a M-score of -2.12 suggests that the company is unlikely to be a manipulator.


Gunkul Engineering PCL Beneish M-Score Related Terms

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Gunkul Engineering PCL (BKK:GUNKUL) Business Description

Traded in Other Exchanges
N/A
Address
Phahonyothin Road, 8th Floor, 1177 Pearl Bangkok Building, Phaya Thai District, Bangkok, THA, 10400
Gunkul Engineering PCL is involved in the manufacturing and distribution of equipments for electrical systems, construction and investing in the generating and selling electricity business. Gunkul's product line includes turbine equipment, substations, cables & accessories, capacitors, switches, solar farms, wind farms, LED projects, and renewable energy projects. The company operates in four segment which are Manufacturing and selling of equipments for electrical system, Generating and selling electricity, Construction service, Maintenance service, rental service and others. Generating & selling electricity generates the most revenue for the company, and Gunkul generates most of its sales from the Thai domestic market.

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