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Green World Fintech Service Co (ROCO:6763) Beneish M-Score : -2.56 (As of Dec. 12, 2024)


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What is Green World Fintech Service Co 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 -2.56 no higher than -1.78, which implies that the company is unlikely to be a manipulator.

The historical rank and industry rank for Green World Fintech Service Co's Beneish M-Score or its related term are showing as below:

ROCO:6763' s Beneish M-Score Range Over the Past 10 Years
Min: -2.56   Med: -1.96   Max: 28.04
Current: -2.56

During the past 7 years, the highest Beneish M-Score of Green World Fintech Service Co was 28.04. The lowest was -2.56. And the median was -1.96.


Green World Fintech Service Co Beneish M-Score Historical Data

The historical data trend for Green World Fintech Service Co'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.

Green World Fintech Service Co Beneish M-Score Chart

Green World Fintech Service Co Annual Data
Trend Dec17 Dec18 Dec19 Dec20 Dec21 Dec22 Dec23
Beneish M-Score
Get a 7-Day Free Trial - - -2.39 10.46 -1.49

Green World Fintech Service Co Quarterly Data
Dec19 Mar20 Jun20 Sep20 Dec20 Mar21 Jun21 Sep21 Dec21 Mar22 Jun22 Sep22 Dec22 Mar23 Jun23 Sep23 Dec23 Mar24 Jun24 Sep24
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 -1.51 -1.49 -2.01 -2.06 -2.56

Competitive Comparison of Green World Fintech Service Co's Beneish M-Score

For the Conglomerates subindustry, Green World Fintech Service Co'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.


Green World Fintech Service Co's Beneish M-Score Distribution in the Conglomerates Industry

For the Conglomerates industry and Industrials sector, Green World Fintech Service Co's Beneish M-Score distribution charts can be found below:

* The bar in red indicates where Green World Fintech Service Co's Beneish M-Score falls into.



Green World Fintech Service Co 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 Green World Fintech Service Co 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 * 0.6425+0.528 * 1.0164+0.404 * 0.9337+0.892 * 1.0147+0.115 * 4.273
-0.172 * SGAI+4.679 * TATA-0.327 * LVGI
-0.172 * 1.1234+4.679 * -0.021937-0.327 * 1.0061
=-2.56

* 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 (Sep24) TTM:Last Year (Sep23) TTM:
Total Receivables was NT$780 Mil.
Revenue was 411.374 + 377.169 + 386.457 + 403.029 = NT$1,578 Mil.
Gross Profit was 165.323 + 158.19 + 162.158 + 173.162 = NT$659 Mil.
Total Current Assets was NT$4,925 Mil.
Total Assets was NT$6,588 Mil.
Property, Plant and Equipment(Net PPE) was NT$1,125 Mil.
Depreciation, Depletion and Amortization(DDA) was NT$19 Mil.
Selling, General, & Admin. Expense(SGA) was NT$172 Mil.
Total Current Liabilities was NT$3,614 Mil.
Long-Term Debt & Capital Lease Obligation was NT$8 Mil.
Net Income was 95.841 + 79.723 + 86.785 + 108.228 = NT$371 Mil.
Non Operating Income was 0 + 0 + 0 + 0 = NT$0 Mil.
Cash Flow from Operations was 133.677 + 85.982 + 125.515 + 169.912 = NT$515 Mil.
Total Receivables was NT$1,196 Mil.
Revenue was 388.156 + 375.556 + 382.264 + 409.158 = NT$1,555 Mil.
Gross Profit was 161.996 + 159.06 + 160.07 + 178.772 = NT$660 Mil.
Total Current Assets was NT$5,739 Mil.
Total Assets was NT$6,495 Mil.
Property, Plant and Equipment(Net PPE) was NT$189 Mil.
Depreciation, Depletion and Amortization(DDA) was NT$14 Mil.
Selling, General, & Admin. Expense(SGA) was NT$151 Mil.
Total Current Liabilities was NT$3,548 Mil.
Long-Term Debt & Capital Lease Obligation was NT$2 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)
=(779.602 / 1578.029) / (1195.791 / 1555.134)
=0.494035 / 0.768931
=0.6425

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)
=(659.898 / 1555.134) / (658.833 / 1578.029)
=0.424335 / 0.417504
=1.0164

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 - (4925.431 + 1125.118) / 6587.512) / (1 - (5739.336 + 189.041) / 6495.427)
=0.081512 / 0.0873
=0.9337

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
=1578.029 / 1555.134
=1.0147

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))
=(14.188 / (14.188 + 189.041)) / (18.687 / (18.687 + 1125.118))
=0.069813 / 0.016338
=4.273

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)
=(172.087 / 1578.029) / (150.955 / 1555.134)
=0.109052 / 0.097069
=1.1234

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)
=((8.37 + 3613.993) / 6587.512) / ((2.19 + 3548.055) / 6495.427)
=0.549883 / 0.546576
=1.0061

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
=(370.577 - 0 - 515.086) / 6587.512
=-0.021937

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.

Green World Fintech Service Co has a M-score of -2.56 suggests that the company is unlikely to be a manipulator.


Green World Fintech Service Co Beneish M-Score Related Terms

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Green World Fintech Service Co Business Description

Traded in Other Exchanges
N/A
Address
No. 19-2, Sanchong Road, 2nd Floor, 6th Floor, Nangang District, Taipei, TWN
Green World Fintech Service Co Ltd is a financial technology company in Taiwan. The company develops payment tools for buyers and sellers, from offline payments to credit card transactions. It provides third-party payment services. The main business is a third-party payment service business, and its products are mainly comprehensive financial logistics collection and payment services. services, including credit cards, ATM teller machines, online ATMs, and supermarket strip codes, the four major cash flow management Channels; also provides logistics, electronic invoices, information security and health inspection services, and project system construction services.

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