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Lotte Non-Life Insurance Co (XKRX:000400) Beneish M-Score : -2.10 (As of Apr. 10, 2025)


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What is Lotte Non-Life Insurance 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 -2.1 no higher than -1.78, which implies that the company is unlikely to be a manipulator.

The historical rank and industry rank for Lotte Non-Life Insurance Co's Beneish M-Score or its related term are showing as below:

XKRX:000400' s Beneish M-Score Range Over the Past 10 Years
Min: -5.6   Med: -2.62   Max: -2.1
Current: -2.1

During the past 13 years, the highest Beneish M-Score of Lotte Non-Life Insurance Co was -2.10. The lowest was -5.60. And the median was -2.62.


Lotte Non-Life Insurance 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 Lotte Non-Life Insurance 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 * 1.1801+0.528 * 1+0.404 * 1.0003+0.892 * 1.1361+0.115 * 1.0322
-0.172 * SGAI+4.679 * TATA-0.327 * LVGI
-0.172 * 0.8386+4.679 * -0.002267-0.327 * 0.7678
=-2.10

* 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 (Dec24) TTM:Last Year (Dec23) TTM:
Total Receivables was ₩381,065 Mil.
Revenue was 479053.98 + 605780.194 + 578629.073 + 596365.182 = ₩2,259,828 Mil.
Gross Profit was 479053.98 + 605780.194 + 578629.073 + 596365.182 = ₩2,259,828 Mil.
Total Current Assets was ₩0 Mil.
Total Assets was ₩15,541,478 Mil.
Property, Plant and Equipment(Net PPE) was ₩62,429 Mil.
Depreciation, Depletion and Amortization(DDA) was ₩36,841 Mil.
Selling, General, & Admin. Expense(SGA) was ₩41,681 Mil.
Total Current Liabilities was ₩0 Mil.
Long-Term Debt & Capital Lease Obligation was ₩806,275 Mil.
Net Income was -60192.122 + 18158.996 + 25387.897 + 40866.632 = ₩24,221 Mil.
Non Operating Income was 194889.446 + -89098.263 + 89302.749 + 71396.231 = ₩266,490 Mil.
Cash Flow from Operations was -115707.815 + -274204.477 + 291264.145 + -108391.313 = ₩-207,039 Mil.
Total Receivables was ₩284,226 Mil.
Revenue was 571704.825 + 380057.495 + 483460.65 + 553889.234 = ₩1,989,112 Mil.
Gross Profit was 571704.825 + 380057.495 + 483460.65 + 553889.234 = ₩1,989,112 Mil.
Total Current Assets was ₩0 Mil.
Total Assets was ₩14,912,417 Mil.
Property, Plant and Equipment(Net PPE) was ₩64,885 Mil.
Depreciation, Depletion and Amortization(DDA) was ₩40,288 Mil.
Selling, General, & Admin. Expense(SGA) was ₩43,749 Mil.
Total Current Liabilities was ₩0 Mil.
Long-Term Debt & Capital Lease Obligation was ₩1,007,583 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)
=(381064.619 / 2259828.429) / (284226.492 / 1989112.204)
=0.168625 / 0.142891
=1.1801

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)
=(1989112.204 / 1989112.204) / (2259828.429 / 2259828.429)
=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 + 62429.363) / 15541477.89) / (1 - (0 + 64884.625) / 14912417.301)
=0.995983 / 0.995649
=1.0003

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
=2259828.429 / 1989112.204
=1.1361

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))
=(40288.494 / (40288.494 + 64884.625)) / (36840.878 / (36840.878 + 62429.363))
=0.383068 / 0.371117
=1.0322

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)
=(41680.529 / 2259828.429) / (43748.642 / 1989112.204)
=0.018444 / 0.021994
=0.8386

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)
=((806274.778 + 0) / 15541477.89) / ((1007582.921 + 0) / 14912417.301)
=0.051879 / 0.067567
=0.7678

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
=(24221.403 - 266490.163 - -207039.46) / 15541477.89
=-0.002267

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.

Lotte Non-Life Insurance Co has a M-score of -2.10 suggests that the company is unlikely to be a manipulator.


Lotte Non-Life Insurance Co Beneish M-Score Related Terms

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Lotte Non-Life Insurance Co Business Description

Traded in Other Exchanges
N/A
Address
No. 3, Sowol-ro, Jung-gu, Seoul, KOR, 100-778
Lotte Non-Life Insurance Co Ltd operates in the non-life insurance market. The company's insurance products include automobile insurance, fire insurance, casualty insurance, long-term insurance, marine insurance, and retirement insurance. The company is also exploring the overseas market such as China, Russia, and Vietnam.