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Regional Container Lines PCL (BKK:RCL) Beneish M-Score : -2.94 (As of Mar. 30, 2025)


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What is Regional Container Lines 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 -2.94 no higher than -1.78, which implies that the company is unlikely to be a manipulator.

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

BKK:RCL' s Beneish M-Score Range Over the Past 10 Years
Min: -5.49   Med: -2.78   Max: -0.8
Current: -2.94

During the past 13 years, the highest Beneish M-Score of Regional Container Lines PCL was -0.80. The lowest was -5.49. And the median was -2.78.


Regional Container Lines PCL Beneish M-Score Historical Data

The historical data trend for Regional Container Lines 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.

Regional Container Lines PCL Beneish M-Score Chart

Regional Container Lines PCL Annual Data
Trend Dec15 Dec16 Dec17 Dec18 Dec19 Dec20 Dec21 Dec22 Dec23 Dec24
Beneish M-Score
Get a 7-Day Free Trial Premium Member Only Premium Member Only -3.47 -2.14 -2.56 -0.80 -2.94

Regional Container Lines PCL Quarterly Data
Mar20 Jun20 Sep20 Dec20 Mar21 Jun21 Sep21 Dec21 Mar22 Jun22 Sep22 Dec22 Mar23 Jun23 Sep23 Dec23 Mar24 Jun24 Sep24 Dec24
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 -0.80 -0.56 -0.94 -2.15 -2.94

Competitive Comparison of Regional Container Lines PCL's Beneish M-Score

For the Marine Shipping subindustry, Regional Container Lines 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.


Regional Container Lines PCL's Beneish M-Score Distribution in the Transportation Industry

For the Transportation industry and Industrials sector, Regional Container Lines PCL's Beneish M-Score distribution charts can be found below:

* The bar in red indicates where Regional Container Lines PCL's Beneish M-Score falls into.


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Regional Container Lines 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 Regional Container Lines 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 * 0.8805+0.528 * 0.464+0.404 * 0.8483+0.892 * 1.3361+0.115 * 1.2163
-0.172 * SGAI+4.679 * TATA-0.327 * LVGI
-0.172 * 0.9568+4.679 * -0.056433-0.327 * 1.219
=-2.94

* 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 (Dec24) TTM:Last Year (Dec23) TTM:
Total Receivables was ฿4,743 Mil.
Revenue was 9871.557 + 10947.516 + 7491.797 + 6785.051 = ฿35,096 Mil.
Gross Profit was 2917.889 + 4665.047 + 1503.532 + 909.252 = ฿9,996 Mil.
Total Current Assets was ฿18,261 Mil.
Total Assets was ฿70,330 Mil.
Property, Plant and Equipment(Net PPE) was ฿50,447 Mil.
Depreciation, Depletion and Amortization(DDA) was ฿4,149 Mil.
Selling, General, & Admin. Expense(SGA) was ฿1,890 Mil.
Total Current Liabilities was ฿9,599 Mil.
Long-Term Debt & Capital Lease Obligation was ฿9,650 Mil.
Net Income was 3318.461 + 4091.182 + 1148.367 + 612.532 = ฿9,171 Mil.
Non Operating Income was 1180.677 + 73.142 + 64.015 + 61.221 = ฿1,379 Mil.
Cash Flow from Operations was 3832.853 + 4238.357 + 2614.785 + 1074.431 = ฿11,760 Mil.
Total Receivables was ฿4,031 Mil.
Revenue was 6515.195 + 6549.275 + 6365.427 + 6837.663 = ฿26,268 Mil.
Gross Profit was 597.573 + 775.49 + 835.658 + 1262.442 = ฿3,471 Mil.
Total Current Assets was ฿18,734 Mil.
Total Assets was ฿56,382 Mil.
Property, Plant and Equipment(Net PPE) was ฿36,116 Mil.
Depreciation, Depletion and Amortization(DDA) was ฿3,678 Mil.
Selling, General, & Admin. Expense(SGA) was ฿1,478 Mil.
Total Current Liabilities was ฿7,281 Mil.
Long-Term Debt & Capital Lease Obligation was ฿5,378 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)
=(4742.914 / 35095.921) / (4031.476 / 26267.56)
=0.135141 / 0.153477
=0.8805

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)
=(3471.163 / 26267.56) / (9995.72 / 35095.921)
=0.132146 / 0.284811
=0.464

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 - (18261.446 + 50447.105) / 70329.69) / (1 - (18734.229 + 36116.008) / 56382.349)
=0.023051 / 0.027174
=0.8483

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
=35095.921 / 26267.56
=1.3361

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))
=(3677.989 / (3677.989 + 36116.008)) / (4148.762 / (4148.762 + 50447.105))
=0.092426 / 0.07599
=1.2163

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)
=(1889.918 / 35095.921) / (1478.419 / 26267.56)
=0.05385 / 0.056283
=0.9568

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)
=((9649.522 + 9598.738) / 70329.69) / ((5378.349 + 7280.569) / 56382.349)
=0.273686 / 0.224519
=1.219

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
=(9170.542 - 1379.055 - 11760.426) / 70329.69
=-0.056433

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.

Regional Container Lines PCL has a M-score of -2.94 suggests that the company is unlikely to be a manipulator.


Regional Container Lines PCL Beneish M-Score Related Terms

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Regional Container Lines PCL Business Description

Traded in Other Exchanges
Address
127/35 Ratchadapisek Road, Pajathani Tower, Floor 30, Chongnonsi, Yannawa, Bangkok, THA, 10120
Regional Container Lines PCL is a Thailand-based company that engages in the business of international vessel operations. It provides logistics, cargo consolidation and operation, shipping agency, and transportation and cargo handling services. It operates in a single industry segment, the business of feeder and vessel operations. Geographically the firm provides services in Singapore, which is its key revenue-generating market, Thailand, Hong Kong, the People's Republic of China, Taiwan, and other countries around the South China Sea.