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QBE Insurance Group (FRA:QBE) Beneish M-Score : -5.56 (As of May. 11, 2024)


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What is QBE Insurance 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 -5.56 no higher than -1.78, which implies that the company is unlikely to be a manipulator.

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

FRA:QBE' s Beneish M-Score Range Over the Past 10 Years
Min: -5.56   Med: -2.45   Max: -2.07
Current: -5.56

During the past 13 years, the highest Beneish M-Score of QBE Insurance Group was -2.07. The lowest was -5.56. And the median was -2.45.


QBE Insurance 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 QBE Insurance 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 * 0.0478+0.528 * 1+0.404 * 0.9995+0.892 * 1.2647+0.115 * 0.7746
-0.172 * SGAI+4.679 * TATA-0.327 * LVGI
-0.172 * 1+4.679 * -0.499573-0.327 * 1.3752
=-5.61

* 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 €476 Mil.
Revenue was €15,998 Mil.
Gross Profit was €15,998 Mil.
Total Current Assets was €0 Mil.
Total Assets was €38,613 Mil.
Property, Plant and Equipment(Net PPE) was €351 Mil.
Depreciation, Depletion and Amortization(DDA) was €124 Mil.
Selling, General, & Admin. Expense(SGA) was €18,074 Mil.
Total Current Liabilities was €0 Mil.
Long-Term Debt & Capital Lease Obligation was €2,831 Mil.
Net Income was €1,243 Mil.
Gross Profit was €19,154 Mil.
Cash Flow from Operations was €1,378 Mil.
Total Receivables was €7,874 Mil.
Revenue was €12,650 Mil.
Gross Profit was €12,650 Mil.
Total Current Assets was €0 Mil.
Total Assets was €46,730 Mil.
Property, Plant and Equipment(Net PPE) was €403 Mil.
Depreciation, Depletion and Amortization(DDA) was €102 Mil.
Selling, General, & Admin. Expense(SGA) was €0 Mil.
Total Current Liabilities was €0 Mil.
Long-Term Debt & Capital Lease Obligation was €2,491 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)
=(475.923 / 15997.982) / (7873.904 / 12649.6)
=0.029749 / 0.622463
=0.0478

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)
=(12649.6 / 12649.6) / (15997.982 / 15997.982)
=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 + 351.211) / 38613.036) / (1 - (0 + 403.088) / 46729.888)
=0.990904 / 0.991374
=0.9995

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
=15997.982 / 12649.6
=1.2647

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))
=(101.952 / (101.952 + 403.088)) / (123.795 / (123.795 + 351.211))
=0.201869 / 0.260618
=0.7746

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)
=(18074.07 / 15997.982) / (0 / 12649.6)
=1.129772 / 0
=1

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)
=((2830.779 + 0) / 38613.036) / ((2491.216 + 0) / 46729.888)
=0.073311 / 0.053311
=1.3752

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
=(1242.535 - 19154.296 - 1378.251) / 38613.036
=-0.499573

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.

QBE Insurance Group has a M-score of -5.61 suggests that the company is unlikely to be a manipulator.


QBE Insurance Group Beneish M-Score Related Terms

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QBE Insurance Group (FRA:QBE) Business Description

Traded in Other Exchanges
Address
388 George Street, Level 18, Sydney, NSW, AUS, 2000
QBE Insurance is an international property and casualty insurance company. It writes around 20% of its annual gross written premiums in its home region of Australia and New Zealand. Other key regions include North America and Europe. QBE Insurance offers a number of personal, commercial, and specialty lines, including property, auto insurance, agriculture, public/product liability, professional indemnity, workers compensation, marine, energy and aviation, and accident and health.