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Credit Suisse Group AG (Credit Suisse Group AG) Beneish M-Score : -2.83 (As of May. 05, 2024)


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What is Credit Suisse Group 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 -2.83 no higher than -1.78, which implies that the company is unlikely to be a manipulator.

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

CS' s Beneish M-Score Range Over the Past 10 Years
Min: -3.36   Med: -2.48   Max: -1.04
Current: -2.83

During the past 13 years, the highest Beneish M-Score of Credit Suisse Group AG was -1.04. The lowest was -3.36. And the median was -2.48.


Credit Suisse Group 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 Credit Suisse Group 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 * 0.9983+0.528 * 1+0.404 * 1.1074+0.892 * 0.8299+0.115 * 1.4931
-0.172 * SGAI+4.679 * TATA-0.327 * LVGI
-0.172 * 1.1089+4.679 * -0.038472-0.327 * 1.2936
=-2.83

* 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 (Dec22) TTM:Last Year (Dec21) TTM:
Total Receivables was $17,605 Mil.
Revenue was 3161.228 + 3588.822 + 3615.749 + 4733.161 = $15,099 Mil.
Gross Profit was 3161.228 + 3588.822 + 3615.749 + 4733.161 = $15,099 Mil.
Total Current Assets was $93,444 Mil.
Total Assets was $570,371 Mil.
Property, Plant and Equipment(Net PPE) was $7,438 Mil.
Depreciation, Depletion and Amortization(DDA) was $1,824 Mil.
Selling, General, & Admin. Expense(SGA) was $11,970 Mil.
Total Current Liabilities was $30,305 Mil.
Long-Term Debt & Capital Lease Obligation was $171,376 Mil.
Net Income was -1495.277 + -4144.662 + -1641.929 + -293.738 = $-7,576 Mil.
Non Operating Income was 0 + 0 + 0 + 0 = $0 Mil.
Cash Flow from Operations was 9084.371 + 8829.754 + 1451.247 + -4997.848 = $14,368 Mil.
Total Receivables was $21,250 Mil.
Revenue was 4695.983 + 5924.361 + 4734.523 + 2839.32 = $18,194 Mil.
Gross Profit was 4695.983 + 5924.361 + 4734.523 + 2839.32 = $18,194 Mil.
Total Current Assets was $202,733 Mil.
Total Assets was $820,666 Mil.
Property, Plant and Equipment(Net PPE) was $7,932 Mil.
Depreciation, Depletion and Amortization(DDA) was $3,303 Mil.
Selling, General, & Admin. Expense(SGA) was $13,008 Mil.
Total Current Liabilities was $40,290 Mil.
Long-Term Debt & Capital Lease Obligation was $184,025 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)
=(17605.195 / 15098.96) / (21249.729 / 18194.187)
=1.165987 / 1.167941
=0.9983

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)
=(18194.187 / 18194.187) / (15098.96 / 15098.96)
=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 - (93443.538 + 7437.742) / 570371.404) / (1 - (202732.899 + 7931.596) / 820665.581)
=0.823131 / 0.7433
=1.1074

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
=15098.96 / 18194.187
=0.8299

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))
=(3302.837 / (3302.837 + 7931.596)) / (1823.628 / (1823.628 + 7437.742))
=0.293992 / 0.196907
=1.4931

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)
=(11969.874 / 15098.96) / (13007.712 / 18194.187)
=0.792761 / 0.714938
=1.1089

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)
=((171376.127 + 30304.852) / 570371.404) / ((184024.973 + 40289.902) / 820665.581)
=0.353596 / 0.273333
=1.2936

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
=(-7575.606 - 0 - 14367.524) / 570371.404
=-0.038472

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.

Credit Suisse Group AG has a M-score of -2.83 suggests that the company is unlikely to be a manipulator.


Credit Suisse Group AG Beneish M-Score Related Terms

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Credit Suisse Group AG (Credit Suisse Group AG) Business Description

Traded in Other Exchanges
N/A
Address
Paradeplatz 8, Zurich, CHE, 8001
Credit Suisse runs a global wealth management business, a global investment bank and is one of the two dominant Swiss retail and commercial banks. Geographically its business is tilted toward Europe and the Asia-Pacific.