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Swiss Life Holding AG (Swiss Life Holding AG) Beneish M-Score : -1.87 (As of Apr. 24, 2024)


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What is Swiss Life Holding 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 -1.87 no higher than -1.78, which implies that the company is unlikely to be a manipulator.

The historical rank and industry rank for Swiss Life Holding AG's Beneish M-Score or its related term are showing as below:

SZLMY' s Beneish M-Score Range Over the Past 10 Years
Min: -3.19   Med: -2.45   Max: 613.5
Current: -1.87

During the past 13 years, the highest Beneish M-Score of Swiss Life Holding AG was 613.50. The lowest was -3.19. And the median was -2.45.


Swiss Life Holding 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 Swiss Life Holding 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 * 0.7049+0.528 * 1+0.404 * 1.1075+0.892 * 1.8689+0.115 * 1.1778
-0.172 * SGAI+4.679 * TATA-0.327 * LVGI
-0.172 * 0.5635+4.679 * 0.008424-0.327 * 0.8452
=-1.75

* 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 $4,358 Mil.
Revenue was $20,659 Mil.
Gross Profit was $20,659 Mil.
Total Current Assets was $80,982 Mil.
Total Assets was $246,814 Mil.
Property, Plant and Equipment(Net PPE) was $1,050 Mil.
Depreciation, Depletion and Amortization(DDA) was $96 Mil.
Selling, General, & Admin. Expense(SGA) was $353 Mil.
Total Current Liabilities was $689 Mil.
Long-Term Debt & Capital Lease Obligation was $10,977 Mil.
Net Income was $1,265 Mil.
Gross Profit was $-1,833 Mil.
Cash Flow from Operations was $1,019 Mil.
Total Receivables was $3,308 Mil.
Revenue was $11,054 Mil.
Gross Profit was $11,054 Mil.
Total Current Assets was $89,998 Mil.
Total Assets was $229,111 Mil.
Property, Plant and Equipment(Net PPE) was $1,000 Mil.
Depreciation, Depletion and Amortization(DDA) was $109 Mil.
Selling, General, & Admin. Expense(SGA) was $335 Mil.
Total Current Liabilities was $721 Mil.
Long-Term Debt & Capital Lease Obligation was $12,092 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)
=(4358.233 / 20659.112) / (3308.287 / 11054.1)
=0.210959 / 0.299281
=0.7049

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)
=(11054.1 / 11054.1) / (20659.112 / 20659.112)
=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 - (80981.729 + 1049.954) / 246814.292) / (1 - (89997.853 + 1000.429) / 229111.207)
=0.667638 / 0.60282
=1.1075

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
=20659.112 / 11054.1
=1.8689

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))
=(109.489 / (109.489 + 1000.429)) / (95.976 / (95.976 + 1049.954))
=0.098646 / 0.083754
=1.1778

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)
=(352.683 / 20659.112) / (334.908 / 11054.1)
=0.017072 / 0.030297
=0.5635

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)
=((10977.105 + 689.177) / 246814.292) / ((12092.1 + 721.34) / 229111.207)
=0.047267 / 0.055927
=0.8452

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
=(1265.032 - -1832.794 - 1018.733) / 246814.292
=0.008424

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.

Swiss Life Holding AG has a M-score of -1.75 signals that the company is likely to be a manipulator.


Swiss Life Holding AG Beneish M-Score Related Terms

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Swiss Life Holding AG (Swiss Life Holding AG) Business Description

Address
General-Guisan-Quai 40, P.O. Box 2831, Zurich, CHE, CH-8022
Swiss Life is predominantly a life and long-term savings company that generates the main share of its revenue and earnings from its domestic market of Switzerland. The company also operates in France, Germany, and a few smaller, but wealthy European markets. The company also has an asset manager. Swiss Life has three main sources of income that vary in importance by geography. Savings income relates to spread-based earnings, the risk result relates to an insurance margin, and the fee result relates to asset management and its financial advisor network. The fee result has been growing in importance over recent years as a result of advice, unit-linked sales, and third-party asset management.