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Munchener Ruckversicherungs-Gesellschaft AG (Munchener Ruckversicherungs-Gesellschaft AG) Beneish M-Score : -2.22 (As of Apr. 30, 2024)


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What is Munchener Ruckversicherungs-Gesellschaft AG 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 -2.22 no higher than -1.78, which implies that the company is unlikely to be a manipulator.

The historical rank and industry rank for Munchener Ruckversicherungs-Gesellschaft AG's Beneish M-Score or its related term are showing as below:

MURGF' s Beneish M-Score Range Over the Past 10 Years
Min: -2.61   Med: -2.44   Max: -2.22
Current: -2.22

During the past 13 years, the highest Beneish M-Score of Munchener Ruckversicherungs-Gesellschaft AG was -2.22. The lowest was -2.61. And the median was -2.44.


Munchener Ruckversicherungs-Gesellschaft AG 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 Munchener Ruckversicherungs-Gesellschaft AG 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 * 1.1082+0.528 * 1+0.404 * 1.0004+0.892 * 1.072+0.115 * 2.1942
-0.172 * SGAI+4.679 * TATA-0.327 * LVGI
-0.172 * 1.0599+4.679 * 0.008601-0.327 * 1.1479
=-2.20

* 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 $7,790 Mil.
Revenue was $65,528 Mil.
Gross Profit was $65,528 Mil.
Total Current Assets was $17,135 Mil.
Total Assets was $298,575 Mil.
Property, Plant and Equipment(Net PPE) was $557 Mil.
Depreciation, Depletion and Amortization(DDA) was $346 Mil.
Selling, General, & Admin. Expense(SGA) was $9,397 Mil.
Total Current Liabilities was $2,897 Mil.
Long-Term Debt & Capital Lease Obligation was $5,140 Mil.
Net Income was $5,023 Mil.
Gross Profit was $-318 Mil.
Cash Flow from Operations was $2,773 Mil.
Total Receivables was $6,557 Mil.
Revenue was $61,127 Mil.
Gross Profit was $61,127 Mil.
Total Current Assets was $16,436 Mil.
Total Assets was $285,372 Mil.
Property, Plant and Equipment(Net PPE) was $579 Mil.
Depreciation, Depletion and Amortization(DDA) was $3,043 Mil.
Selling, General, & Admin. Expense(SGA) was $8,270 Mil.
Total Current Liabilities was $1,662 Mil.
Long-Term Debt & Capital Lease Obligation was $5,030 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)
=(7789.531 / 65527.808) / (6557.203 / 61127.119)
=0.118874 / 0.107272
=1.1082

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)
=(61127.119 / 61127.119) / (65527.808 / 65527.808)
=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 - (17135.223 + 557.252) / 298574.7) / (1 - (16436.44 + 579.449) / 285371.822)
=0.940744 / 0.940373
=1.0004

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
=65527.808 / 61127.119
=1.072

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))
=(3043.432 / (3043.432 + 579.449)) / (345.692 / (345.692 + 557.252))
=0.840059 / 0.38285
=2.1942

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)
=(9396.947 / 65527.808) / (8270.127 / 61127.119)
=0.143404 / 0.135294
=1.0599

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)
=((5139.586 + 2897.492) / 298574.7) / ((5029.661 + 1662.076) / 285371.822)
=0.026918 / 0.023449
=1.1479

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
=(5022.901 - -318.43 - 2773.173) / 298574.7
=0.008601

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.

Munchener Ruckversicherungs-Gesellschaft AG has a M-score of -2.20 suggests that the company is unlikely to be a manipulator.


Munchener Ruckversicherungs-Gesellschaft AG Beneish M-Score Related Terms

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Munchener Ruckversicherungs-Gesellschaft AG (Munchener Ruckversicherungs-Gesellschaft AG) Business Description

Address
Koniginstrasse 107, Munich, BY, DEU, 80802
Munich Re was founded in 1880 by Carl Thieme amid a flurry of other reinsurance companies set up independent of primaries. In those early days, most reinsurers typically focussed on a few customers with strong reputations. Thieme focussed on a broader set of cedents in order to drive stronger growth in premiums. This coincided with a strategy of risk diversification and a preference to partner rather than take on a one-sided transfer of risk. In the 1890s, Munich introduced the first machinery insurance. After Thieme and Fink founded Allianz, this was the main channel to sell insurance on machinery. We think the approach of partnering with insurers and preferring to avoid one-sided risk, in conjunction with combining inspection and insurance services, remains at the heart of the firm.
Executives
Michael Kerner Board of Directors