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Hannover Rueck SE (Hannover Rueck SE) Beneish M-Score : -2.31 (As of Apr. 26, 2024)


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What is Hannover Rueck SE 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 -2.31 no higher than -1.78, which implies that the company is unlikely to be a manipulator.

The historical rank and industry rank for Hannover Rueck SE's Beneish M-Score or its related term are showing as below:

HVRRY' s Beneish M-Score Range Over the Past 10 Years
Min: -3.42   Med: -2.51   Max: 13.64
Current: -2.31

During the past 13 years, the highest Beneish M-Score of Hannover Rueck SE was 13.64. The lowest was -3.42. And the median was -2.51.


Hannover Rueck SE 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 Hannover Rueck SE 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 * 1.1432+0.528 * 1+0.404 * 1.0289+0.892 * 0.7233+0.115 * 1
-0.172 * SGAI+4.679 * TATA-0.327 * LVGI
-0.172 * 0+4.679 * 0.022452-0.327 * 0.8506
=-2.26

* 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 $3,476 Mil.
Revenue was -17790.84 + 6458.911 + 5813.759 + 6779.657 = $1,261 Mil.
Gross Profit was -17790.84 + 6458.911 + 5813.759 + 6779.657 = $1,261 Mil.
Total Current Assets was $59,827 Mil.
Total Assets was $72,505 Mil.
Property, Plant and Equipment(Net PPE) was $161 Mil.
Depreciation, Depletion and Amortization(DDA) was $0 Mil.
Selling, General, & Admin. Expense(SGA) was $0 Mil.
Total Current Liabilities was $297 Mil.
Long-Term Debt & Capital Lease Obligation was $5,317 Mil.
Net Income was 463.904 + 468.943 + 515.276 + 518.737 = $1,967 Mil.
Non Operating Income was 225.627 + 293.703 + 57.205 + -237.58 = $339 Mil.
Cash Flow from Operations was 0 + 0 + 0 + 0 = $0 Mil.
Total Receivables was $4,204 Mil.
Revenue was -19501.907 + 7085.248 + 6130.761 + 8029.956 = $1,744 Mil.
Gross Profit was -19501.907 + 7085.248 + 6130.761 + 8029.956 = $1,744 Mil.
Total Current Assets was $55,333 Mil.
Total Assets was $66,694 Mil.
Property, Plant and Equipment(Net PPE) was $172 Mil.
Depreciation, Depletion and Amortization(DDA) was $-88 Mil.
Selling, General, & Admin. Expense(SGA) was $605 Mil.
Total Current Liabilities was $234 Mil.
Long-Term Debt & Capital Lease Obligation was $5,837 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)
=(3476.445 / 1261.487) / (4204.237 / 1744.058)
=2.755831 / 2.410606
=1.1432

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)
=(1744.058 / 1744.058) / (1261.487 / 1261.487)
=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 - (59827.481 + 161.069) / 72505.234) / (1 - (55332.521 + 171.61) / 66694.068)
=0.172631 / 0.16778
=1.0289

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
=1261.487 / 1744.058
=0.7233

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))
=(-87.891 / (-87.891 + 171.61)) / (0 / (0 + 161.069))
=-1.049833 / 0
=1

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)
=(0 / 1261.487) / (605.427 / 1744.058)
=0 / 0.347137
=0

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)
=((5316.685 + 297.056) / 72505.234) / ((5837.182 + 233.792) / 66694.068)
=0.077425 / 0.091027
=0.8506

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
=(1966.86 - 338.955 - 0) / 72505.234
=0.022452

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.

Hannover Rueck SE has a M-score of -2.26 suggests that the company is unlikely to be a manipulator.


Hannover Rueck SE Beneish M-Score Related Terms

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Hannover Rueck SE (Hannover Rueck SE) Business Description

Traded in Other Exchanges
Address
Karl-Wiechert-Allee 50, Hannover, NI, DEU, 30625
Hannover Re is a reinsurance company headquartered in Hannover, Germany. Its roots go back to the 1920s when, in conjunction with the Gerling Group, Haftplichtverband founded Eisen- und Stahl to provide reinsurance services. In the 1960s ownership of the business was turned over to Haftplichtverband and Aktiengesellschaft fur Transport und- Ruckversichering was founded. This was the basis of Hannover Re. The business expanded into life and health reinsurance in the 1990s, and over the next 30 years expanded beyond its core domestic market of Germany to write business internationally. Hannover sold its commercial specialty insurance business to Talanx on Jan. 1, 2019. Hannover was listed in the '90s on the Frankfurt Stock Exchange.