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KB Financial Group (FRA:KBIA) Beneish M-Score : -2.25 (As of Apr. 05, 2025)


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What is KB Financial Group 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 -2.25 no higher than -1.78, which implies that the company is unlikely to be a manipulator.

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

FRA:KBIA' s Beneish M-Score Range Over the Past 10 Years
Min: -3.32   Med: -2.26   Max: 79.53
Current: -2.25

During the past 13 years, the highest Beneish M-Score of KB Financial Group was 79.53. The lowest was -3.32. And the median was -2.26.


KB Financial Group 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 KB Financial Group 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 * 1.1666+0.528 * 1+0.404 * 0.9998+0.892 * 0.9908+0.115 * 0.8174
-0.172 * SGAI+4.679 * TATA-0.327 * LVGI
-0.172 * 1.107+4.679 * 0.007938-0.327 * 0.8452
=-2.29

* 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 €213 Mil.
Revenue was 3460.886 + 3319.194 + 3605.392 + 3513.416 = €13,899 Mil.
Gross Profit was 3460.886 + 3319.194 + 3605.392 + 3513.416 = €13,899 Mil.
Total Current Assets was €0 Mil.
Total Assets was €504,657 Mil.
Property, Plant and Equipment(Net PPE) was €3,573 Mil.
Depreciation, Depletion and Amortization(DDA) was €713 Mil.
Selling, General, & Admin. Expense(SGA) was €4,448 Mil.
Total Current Liabilities was €0 Mil.
Long-Term Debt & Capital Lease Obligation was €82,735 Mil.
Net Income was 1092.783 + 1166.905 + 724.803 + 179.561 = €3,164 Mil.
Non Operating Income was 0 + 0 + 0 + 0 = €0 Mil.
Cash Flow from Operations was 0 + 0 + 0 + -841.859 = €-842 Mil.
Total Receivables was €185 Mil.
Revenue was 3229.84 + 3405.921 + 3610.347 + 3781.928 = €14,028 Mil.
Gross Profit was 3229.84 + 3405.921 + 3610.347 + 3781.928 = €14,028 Mil.
Total Current Assets was €0 Mil.
Total Assets was €503,137 Mil.
Property, Plant and Equipment(Net PPE) was €3,471 Mil.
Depreciation, Depletion and Amortization(DDA) was €546 Mil.
Selling, General, & Admin. Expense(SGA) was €4,055 Mil.
Total Current Liabilities was €0 Mil.
Long-Term Debt & Capital Lease Obligation was €97,589 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)
=(213.388 / 13898.888) / (184.629 / 14028.036)
=0.015353 / 0.013161
=1.1666

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)
=(14028.036 / 14028.036) / (13898.888 / 13898.888)
=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 - (0 + 3573.318) / 504656.918) / (1 - (0 + 3471.37) / 503137.096)
=0.992919 / 0.993101
=0.9998

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
=13898.888 / 14028.036
=0.9908

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))
=(545.96 / (545.96 + 3471.37)) / (712.528 / (712.528 + 3573.318))
=0.135901 / 0.166251
=0.8174

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)
=(4447.579 / 13898.888) / (4055.113 / 14028.036)
=0.319995 / 0.289072
=1.107

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)
=((82735.075 + 0) / 504656.918) / ((97589.139 + 0) / 503137.096)
=0.163943 / 0.193961
=0.8452

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
=(3164.052 - 0 - -841.859) / 504656.918
=0.007938

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.

KB Financial Group has a M-score of -2.29 suggests that the company is unlikely to be a manipulator.


KB Financial Group Beneish M-Score Related Terms

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KB Financial Group Business Description

Traded in Other Exchanges
Address
26, Gukjegeumyung-ro 8-gil, Yeongdeungpo-gu, Seoul, KOR, 07331
KB Financial Group Inc is a financial holding company in Korea. The company operations include Kookmin Bank, one of the commercial banks in Korea. The company's subsidiaries collectively engage in a broad range of businesses, including commercial banking, credit cards, asset management, non-life and life insurance, capital markets activities, and international banking and finance. The company's segment includes the Banking business, Securities business, Non-life Insurance business, Credit card business, and life Insurance business. The Group generates the majority of its revenue from the Banking business.