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Fubon Financial Holdings Co (Fubon Financial Holdings Co) Beneish M-Score : -2.90 (As of Apr. 26, 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:

FUIZF' 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 * 0.6318+0.115 * 1.0409
-0.172 * SGAI+4.679 * TATA-0.327 * LVGI
-0.172 * 1.9902+4.679 * 0.014305-0.327 * 1.0988
=-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 (Dec23) TTM:Last Year (Dec22) TTM:
Total Receivables was $0 Mil.
Revenue was 505.694 + 1765.78 + 2181.376 + 1055.569 = $5,508 Mil.
Gross Profit was 505.694 + 1765.78 + 2181.376 + 1055.569 = $5,508 Mil.
Total Current Assets was $24,639 Mil.
Total Assets was $355,385 Mil.
Property, Plant and Equipment(Net PPE) was $2,619 Mil.
Depreciation, Depletion and Amortization(DDA) was $239 Mil.
Selling, General, & Admin. Expense(SGA) was $998 Mil.
Total Current Liabilities was $6,165 Mil.
Long-Term Debt & Capital Lease Obligation was $13,049 Mil.
Net Income was -57.477 + 777.316 + 937.789 + 457.935 = $2,116 Mil.
Non Operating Income was 0 + 0 + 0 + 0 = $0 Mil.
Cash Flow from Operations was 496.731 + 4168.331 + -2941.61 + -4691.701 = $-2,968 Mil.
Total Receivables was $0 Mil.
Revenue was -1053.075 + 2083.216 + 3015.372 + 4672.474 = $8,718 Mil.
Gross Profit was -1053.075 + 2083.216 + 3015.372 + 4672.474 = $8,718 Mil.
Total Current Assets was $23,900 Mil.
Total Assets was $345,414 Mil.
Property, Plant and Equipment(Net PPE) was $2,455 Mil.
Depreciation, Depletion and Amortization(DDA) was $234 Mil.
Selling, General, & Admin. Expense(SGA) was $793 Mil.
Total Current Liabilities was $5,803 Mil.
Long-Term Debt & Capital Lease Obligation was $11,194 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 / 5508.419) / (0 / 8717.987)
=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)
=(8717.987 / 8717.987) / (5508.419 / 5508.419)
=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 - (24639.23 + 2618.892) / 355384.933) / (1 - (23899.843 + 2454.833) / 345413.629)
=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
=5508.419 / 8717.987
=0.6318

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))
=(234.446 / (234.446 + 2454.833)) / (239.383 / (239.383 + 2618.892))
=0.087178 / 0.083751
=1.0409

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)
=(997.518 / 5508.419) / (793.239 / 8717.987)
=0.18109 / 0.090989
=1.9902

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)
=((13049.304 + 6164.864) / 355384.933) / ((11193.716 + 5802.518) / 345413.629)
=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
=(2115.563 - 0 - -2968.249) / 355384.933
=0.014305

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 -2.94 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 (Fubon Financial Holdings Co) 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.