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Fubon Financial Holdings Co (TPE:2881) Beneish M-Score : -2.90 (As of May. 05, 2024)


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What is Fubon Financial Holdings Co Beneish M-Score?

Note: Financial institutions were excluded from the sample in Beneish paper when calculating Beneish M-Score. Thus, the prediction might not fit banks and insurance companies.

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 -2.9 no higher than -1.78, which implies that the company is unlikely to be a manipulator.

The historical rank and industry rank for Fubon Financial Holdings Co's Beneish M-Score or its related term are showing as below:

TPE:2881' s Beneish M-Score Range Over the Past 10 Years
Min: -3.11   Med: -2.47   Max: -2.37
Current: -2.9

During the past 13 years, the highest Beneish M-Score of Fubon Financial Holdings Co was -2.37. The lowest was -3.11. And the median was -2.47.


Fubon Financial Holdings 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 Fubon Financial Holdings 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 * 1+0.528 * 1+0.404 * 0.9996+0.892 * 0.6741+0.115 * 1.022
-0.172 * SGAI+4.679 * TATA-0.327 * LVGI
-0.172 * 1.9413+4.679 * 0.013588-0.327 * 1.0988
=-2.90

* 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 NT$0 Mil.
Revenue was 15803.702 + 56581.785 + 67274.738 + 32232.016 = NT$171,892 Mil.
Gross Profit was 15803.702 + 56581.785 + 67274.738 + 32232.016 = NT$171,892 Mil.
Total Current Assets was NT$770,013 Mil.
Total Assets was NT$11,106,312 Mil.
Property, Plant and Equipment(Net PPE) was NT$81,844 Mil.
Depreciation, Depletion and Amortization(DDA) was NT$7,460 Mil.
Selling, General, & Admin. Expense(SGA) was NT$31,150 Mil.
Total Current Liabilities was NT$192,661 Mil.
Long-Term Debt & Capital Lease Obligation was NT$407,810 Mil.
Net Income was -1796.239 + 24907.94 + 28921.89 + 13983.146 = NT$66,017 Mil.
Non Operating Income was 0 + 0 + 0 + 0 = NT$0 Mil.
Cash Flow from Operations was 15523.578 + 133567.917 + -90720.712 + -143262.033 = NT$-84,891 Mil.
Total Receivables was NT$0 Mil.
Revenue was -32279.264 + 65160.076 + 89263.764 + 132844.501 = NT$254,989 Mil.
Gross Profit was -32279.264 + 65160.076 + 89263.764 + 132844.501 = NT$254,989 Mil.
Total Current Assets was NT$732,588 Mil.
Total Assets was NT$10,587,757 Mil.
Property, Plant and Equipment(Net PPE) was NT$75,247 Mil.
Depreciation, Depletion and Amortization(DDA) was NT$7,024 Mil.
Selling, General, & Admin. Expense(SGA) was NT$23,803 Mil.
Total Current Liabilities was NT$177,861 Mil.
Long-Term Debt & Capital Lease Obligation was NT$343,114 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)
=(0 / 171892.241) / (0 / 254989.077)
=0 / 0
=1

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)
=(254989.077 / 254989.077) / (171892.241 / 171892.241)
=1 / 1
=1

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 - (770012.893 + 81844.309) / 11106312.242) / (1 - (732587.561 + 75246.524) / 10587756.71)
=0.9233 / 0.923701
=0.9996

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
=171892.241 / 254989.077
=0.6741

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))
=(7023.618 / (7023.618 + 75246.524)) / (7460.071 / (7460.071 + 81844.309))
=0.085373 / 0.083535
=1.022

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)
=(31150.154 / 171892.241) / (23803.439 / 254989.077)
=0.181219 / 0.093351
=1.9413

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)
=((407810.317 + 192661.253) / 11106312.242) / ((343114.248 + 177861.103) / 10587756.71)
=0.054066 / 0.049205
=1.0988

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
=(66016.737 - 0 - -84891.25) / 11106312.242
=0.013588

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.

Fubon Financial Holdings Co has a M-score of -2.90 suggests that the company is unlikely to be a manipulator.


Fubon Financial Holdings Co Beneish M-Score Related Terms

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Fubon Financial Holdings Co (TPE:2881) Business Description

Traded in Other Exchanges
Address
No. 179, Liaoning Street, 15-16th Floor, Zhongshan District, Taipei, TWN, 104
Fubon Financial Holdings Co Ltd is a full-service financial holding company. The company's segments include Bank business; Insurance business; Life insurance business; Securities business and others. It generates maximum revenue from Insurance business segment. The Insurance business segment provides a variety of life and property insurance services. Its Bank business segment is engaged in banking business. Geographically, it derives a majority of its revenue from Taiwan.