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KB Financial Group (KB Financial Group) Beneish M-Score : -1.83 (As of May. 01, 2024)


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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 -1.83 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:

KB' s Beneish M-Score Range Over the Past 10 Years
Min: -2.66   Med: -2.45   Max: -1.83
Current: -1.83

During the past 13 years, the highest Beneish M-Score of KB Financial Group was -1.83. The lowest was -2.66. And the median was -2.45.


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 * 1.3806+0.528 * 1+0.404 * 0.9985+0.892 * 1.1716+0.115 * 1.8984
-0.172 * SGAI+4.679 * TATA-0.327 * LVGI
-0.172 * 0.8404+4.679 * 0.002261-0.327 * 1.0291
=-1.85

* 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 $11,074 Mil.
Revenue was 4017.709 + 3415.843 + 3844.354 + 3797.494 = $15,075 Mil.
Gross Profit was 4017.709 + 3415.843 + 3844.354 + 3797.494 = $15,075 Mil.
Total Current Assets was $97,923 Mil.
Total Assets was $548,713 Mil.
Property, Plant and Equipment(Net PPE) was $3,792 Mil.
Depreciation, Depletion and Amortization(DDA) was $320 Mil.
Selling, General, & Admin. Expense(SGA) was $4,167 Mil.
Total Current Liabilities was $25,681 Mil.
Long-Term Debt & Capital Lease Obligation was $93,062 Mil.
Net Income was 200.468 + 1029.618 + 1155.563 + 1146.717 = $3,532 Mil.
Non Operating Income was 0 + 0 + 0 + 0 = $0 Mil.
Cash Flow from Operations was 0 + 0 + 3930.355 + -1638.806 = $2,292 Mil.
Total Receivables was $6,846 Mil.
Revenue was 3786.799 + 2609.002 + 3115.049 + 3356.363 = $12,867 Mil.
Gross Profit was 3786.799 + 2609.002 + 3115.049 + 3356.363 = $12,867 Mil.
Total Current Assets was $94,198 Mil.
Total Assets was $532,378 Mil.
Property, Plant and Equipment(Net PPE) was $3,859 Mil.
Depreciation, Depletion and Amortization(DDA) was $670 Mil.
Selling, General, & Admin. Expense(SGA) was $4,232 Mil.
Total Current Liabilities was $18,178 Mil.
Long-Term Debt & Capital Lease Obligation was $93,770 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)
=(11073.501 / 15075.4) / (6845.878 / 12867.213)
=0.734541 / 0.53204
=1.3806

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)
=(12867.213 / 12867.213) / (15075.4 / 15075.4)
=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 - (97922.674 + 3791.567) / 548712.948) / (1 - (94198.028 + 3858.697) / 532378.306)
=0.814631 / 0.815814
=0.9985

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
=15075.4 / 12867.213
=1.1716

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))
=(669.592 / (669.592 + 3858.697)) / (320.281 / (320.281 + 3791.567))
=0.147869 / 0.077892
=1.8984

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)
=(4166.802 / 15075.4) / (4231.662 / 12867.213)
=0.276397 / 0.328872
=0.8404

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)
=((93061.568 + 25680.902) / 548712.948) / ((93770.451 + 18177.604) / 532378.306)
=0.216402 / 0.210279
=1.0291

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
=(3532.366 - 0 - 2291.549) / 548712.948
=0.002261

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 -1.85 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 (KB Financial Group) Business Description

Traded in Other Exchanges
Address
26, Gukjegeumyung-ro 8-gil, Yeongdeungpo-gu, Seoul, KOR, 07331
KB Financial is the parent company of KB Kookmin Bank, Korea's largest commercial bank, with a 12.8% share of loans as of 2022. Its predecessor banks were established in the 1960s as government policy banks and privatized in the 1990s. Its credit card subsidiary KB Kookmin Card is the number-three player behind Shinhan Card and Samsung Card. KB has in recent years expanded its nonbank business by buying LIG Insurance and Hyundai Securities, making KB a top-five player in nonlife insurance and in securities, and most recently by buying Prudential Life Insurance Korea. It also has KB Capital, which provides leasing and installment finance.