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EFU General Insurance (KAR:EFUG) Beneish M-Score : -2.18 (As of Jul. 18, 2025)


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What is EFU General Insurance 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 -2.18 no higher than -1.78, which implies that the company is unlikely to be a manipulator.

The historical rank and industry rank for EFU General Insurance's Beneish M-Score or its related term are showing as below:

KAR:EFUG' s Beneish M-Score Range Over the Past 10 Years
Min: -3.95   Med: -2.19   Max: -1.88
Current: -2.18

During the past 13 years, the highest Beneish M-Score of EFU General Insurance was -1.88. The lowest was -3.95. And the median was -2.19.


EFU General Insurance 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 EFU General Insurance 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 * 0.8696+0.528 * 1+0.404 * 1.0053+0.892 * 1.2042+0.115 * 0.88
-0.172 * SGAI+4.679 * TATA-0.327 * LVGI
-0.172 * 0.8361+4.679 * 0.050558-0.327 * 1.057
=-2.18

* 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 (Mar25) TTM:Last Year (Mar24) TTM:
Total Receivables was ₨9,142 Mil.
Revenue was 24513.378 + 40488.102 + 27403.979 + 27917.593 = ₨120,323 Mil.
Gross Profit was 24513.378 + 40488.102 + 27403.979 + 27917.593 = ₨120,323 Mil.
Total Current Assets was ₨0 Mil.
Total Assets was ₨337,777 Mil.
Property, Plant and Equipment(Net PPE) was ₨9,978 Mil.
Depreciation, Depletion and Amortization(DDA) was ₨1,868 Mil.
Selling, General, & Admin. Expense(SGA) was ₨2,465 Mil.
Total Current Liabilities was ₨0 Mil.
Long-Term Debt & Capital Lease Obligation was ₨959 Mil.
Net Income was 1219.765 + 507.985 + 739.977 + 1412.104 = ₨3,880 Mil.
Non Operating Income was 33.694 + 36.123 + 35.872 + 37.984 = ₨144 Mil.
Cash Flow from Operations was -3021.56 + -1022.286 + -4271.461 + -5025.975 = ₨-13,341 Mil.
Total Receivables was ₨8,731 Mil.
Revenue was 24687.103 + 30545.458 + 23592.557 + 21097.48 = ₨99,923 Mil.
Gross Profit was 24687.103 + 30545.458 + 23592.557 + 21097.48 = ₨99,923 Mil.
Total Current Assets was ₨0 Mil.
Total Assets was ₨281,775 Mil.
Property, Plant and Equipment(Net PPE) was ₨9,769 Mil.
Depreciation, Depletion and Amortization(DDA) was ₨1,574 Mil.
Selling, General, & Admin. Expense(SGA) was ₨2,449 Mil.
Total Current Liabilities was ₨0 Mil.
Long-Term Debt & Capital Lease Obligation was ₨757 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)
=(9141.847 / 120323.052) / (8730.586 / 99922.598)
=0.075978 / 0.087373
=0.8696

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)
=(99922.598 / 99922.598) / (120323.052 / 120323.052)
=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 + 9977.686) / 337776.555) / (1 - (0 + 9768.584) / 281774.911)
=0.970461 / 0.965332
=1.0053

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
=120323.052 / 99922.598
=1.2042

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))
=(1573.968 / (1573.968 + 9768.584)) / (1868.01 / (1868.01 + 9977.686))
=0.138767 / 0.157695
=0.88

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)
=(2465.356 / 120323.052) / (2448.626 / 99922.598)
=0.020489 / 0.024505
=0.8361

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)
=((958.857 + 0) / 337776.555) / ((756.743 + 0) / 281774.911)
=0.002839 / 0.002686
=1.057

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
=(3879.831 - 143.673 - -13341.282) / 337776.555
=0.050558

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.

EFU General Insurance has a M-score of -2.18 suggests that the company is unlikely to be a manipulator.


EFU General Insurance Beneish M-Score Related Terms

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EFU General Insurance Business Description

Traded in Other Exchanges
N/A
Address
EFU House, M.A. Jinnah Road, P.O. Box 5005, Karachi, SD, PAK, 74000
EFU General Insurance Ltd is an insurance company providing a range of non-life insurance products and services customized to meet the varied needs of a wide spectrum of businesses and industrial clients as well as individuals. The company has four reportable segments namely Fire and property damage; Marine, aviation and transport; Motor, and Miscellaneous. The company generates the majority of its revenue from Fire and property damage segment.