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Wustenrot & Wurttembergische AG (XTER:WUW) Beneish M-Score : -2.39 (As of May. 26, 2024)


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What is Wustenrot & Wurttembergische 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 -2.39 no higher than -1.78, which implies that the company is unlikely to be a manipulator.

The historical rank and industry rank for Wustenrot & Wurttembergische AG's Beneish M-Score or its related term are showing as below:

XTER:WUW' s Beneish M-Score Range Over the Past 10 Years
Min: -3.85   Med: -2.45   Max: 14.88
Current: -2.39

During the past 13 years, the highest Beneish M-Score of Wustenrot & Wurttembergische AG was 14.88. The lowest was -3.85. And the median was -2.45.


Wustenrot & Wurttembergische 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 Wustenrot & Wurttembergische 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 * 0.7009+0.528 * 1+0.404 * 1.0003+0.892 * 1.3958+0.115 * 0.9138
-0.172 * SGAI+4.679 * TATA-0.327 * LVGI
-0.172 * 0.8095+4.679 * 0.002616-0.327 * 1.0572
=-2.39

* 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 €1,189 Mil.
Revenue was €5,961 Mil.
Gross Profit was €5,961 Mil.
Total Current Assets was €0 Mil.
Total Assets was €68,681 Mil.
Property, Plant and Equipment(Net PPE) was €538 Mil.
Depreciation, Depletion and Amortization(DDA) was €83 Mil.
Selling, General, & Admin. Expense(SGA) was €434 Mil.
Total Current Liabilities was €0 Mil.
Long-Term Debt & Capital Lease Obligation was €5,755 Mil.
Net Income was €139 Mil.
Gross Profit was €67 Mil.
Cash Flow from Operations was €-108 Mil.
Total Receivables was €1,216 Mil.
Revenue was €4,271 Mil.
Gross Profit was €4,271 Mil.
Total Current Assets was €0 Mil.
Total Assets was €66,589 Mil.
Property, Plant and Equipment(Net PPE) was €538 Mil.
Depreciation, Depletion and Amortization(DDA) was €75 Mil.
Selling, General, & Admin. Expense(SGA) was €384 Mil.
Total Current Liabilities was €0 Mil.
Long-Term Debt & Capital Lease Obligation was €5,278 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)
=(1189.257 / 5961.057) / (1215.676 / 4270.702)
=0.199504 / 0.284655
=0.7009

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)
=(4270.702 / 4270.702) / (5961.057 / 5961.057)
=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 + 537.616) / 68680.752) / (1 - (0 + 538.494) / 66589.398)
=0.992172 / 0.991913
=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
=5961.057 / 4270.702
=1.3958

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))
=(74.915 / (74.915 + 538.494)) / (82.941 / (82.941 + 537.616))
=0.122129 / 0.133656
=0.9138

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)
=(434.441 / 5961.057) / (384.495 / 4270.702)
=0.07288 / 0.090031
=0.8095

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)
=((5754.924 + 0) / 68680.752) / ((5277.651 + 0) / 66589.398)
=0.083792 / 0.079257
=1.0572

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
=(138.657 - 67.136 - -108.124) / 68680.752
=0.002616

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.

Wustenrot & Wurttembergische AG has a M-score of -2.39 suggests that the company is unlikely to be a manipulator.


Wustenrot & Wurttembergische AG Beneish M-Score Related Terms

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Wustenrot & Wurttembergische AG (XTER:WUW) Business Description

Traded in Other Exchanges
Address
Gutenbergstrasse 30, Stuttgart, BW, DEU, 70176
Wustenrot & Wurttembergische AG is a German financial services company, mainly providing private pensions and wealth management. The company's operating segments include Housing; Life and Health Insurance; Property/Casualty and other segments. It generates maximum revenue from the Life and Health Insurance segment.