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Societe Generale (XPAR:GLE) Beneish M-Score : -2.36 (As of Dec. 14, 2024)


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What is Societe Generale 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 -2.36 no higher than -1.78, which implies that the company is unlikely to be a manipulator.

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

XPAR:GLE' s Beneish M-Score Range Over the Past 10 Years
Min: -2.84   Med: -2.59   Max: -2.36
Current: -2.36

During the past 13 years, the highest Beneish M-Score of Societe Generale was -2.36. The lowest was -2.84. And the median was -2.59.


Societe Generale 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 Societe Generale 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+0.528 * 1+0.404 * 0.9837+0.892 * 1.2291+0.115 * 1.2501
-0.172 * SGAI+4.679 * TATA-0.327 * LVGI
-0.172 * 0.7943+4.679 * -0.022477-0.327 * 1.1099
=-2.36

* 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 €0 Mil.
Revenue was €44,364 Mil.
Gross Profit was €44,364 Mil.
Total Current Assets was €0 Mil.
Total Assets was €1,554,045 Mil.
Property, Plant and Equipment(Net PPE) was €56,410 Mil.
Depreciation, Depletion and Amortization(DDA) was €7,710 Mil.
Selling, General, & Admin. Expense(SGA) was €1,319 Mil.
Total Current Liabilities was €0 Mil.
Long-Term Debt & Capital Lease Obligation was €179,810 Mil.
Net Income was €2,493 Mil.
Gross Profit was €0 Mil.
Cash Flow from Operations was €37,423 Mil.
Total Receivables was €0 Mil.
Revenue was €36,095 Mil.
Gross Profit was €36,095 Mil.
Total Current Assets was €0 Mil.
Total Assets was €1,484,900 Mil.
Property, Plant and Equipment(Net PPE) was €30,196 Mil.
Depreciation, Depletion and Amortization(DDA) was €5,342 Mil.
Selling, General, & Admin. Expense(SGA) was €1,351 Mil.
Total Current Liabilities was €0 Mil.
Long-Term Debt & Capital Lease Obligation was €154,799 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)
=(0 / 44364) / (0 / 36095)
=0 / 0
=1

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)
=(36095 / 36095) / (44364 / 44364)
=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 + 56410) / 1554045) / (1 - (0 + 30196) / 1484900)
=0.963701 / 0.979665
=0.9837

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
=44364 / 36095
=1.2291

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))
=(5342 / (5342 + 30196)) / (7710 / (7710 + 56410))
=0.150318 / 0.120243
=1.2501

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)
=(1319 / 44364) / (1351 / 36095)
=0.029731 / 0.037429
=0.7943

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)
=((179810 + 0) / 1554045) / ((154799 + 0) / 1484900)
=0.115705 / 0.104249
=1.1099

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
=(2493 - 0 - 37423) / 1554045
=-0.022477

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.

Societe Generale has a M-score of -2.36 suggests that the company is unlikely to be a manipulator.


Societe Generale Beneish M-Score Related Terms

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Societe Generale Business Description

Address
29, Boulevard Haussmann, Paris, FRA, 75009
Founded in 1884, Societe Generale is one of France's major banks. It was historically viewed as primarily a corporate and investment bank, but it has meaningful retail banking operations in France, Eastern Europe, and North Africa.