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Stifel Financial (FRA:2SI) Beneish M-Score : -2.58 (As of May. 06, 2024)


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What is Stifel Financial 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 -2.58 no higher than -1.78, which implies that the company is unlikely to be a manipulator.

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

FRA:2SI' s Beneish M-Score Range Over the Past 10 Years
Min: -2.83   Med: -2.33   Max: -1.69
Current: -2.58

During the past 13 years, the highest Beneish M-Score of Stifel Financial was -1.69. The lowest was -2.83. And the median was -2.33.


Stifel Financial 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 Stifel Financial 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 * 0.9409+0.528 * 1+0.404 * 0.9715+0.892 * 0.9656+0.115 * 0.8639
-0.172 * SGAI+4.679 * TATA-0.327 * LVGI
-0.172 * 0.998+4.679 * 0.000746-0.327 * 1.0412
=-2.60

* 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 €1,151 Mil.
Revenue was 1037.127 + 965.708 + 956.79 + 1020.258 = €3,980 Mil.
Gross Profit was 1037.127 + 965.708 + 956.79 + 1020.258 = €3,980 Mil.
Total Current Assets was €5,657 Mil.
Total Assets was €34,596 Mil.
Property, Plant and Equipment(Net PPE) was €889 Mil.
Depreciation, Depletion and Amortization(DDA) was €76 Mil.
Selling, General, & Admin. Expense(SGA) was €2,370 Mil.
Total Current Liabilities was €2,221 Mil.
Long-Term Debt & Capital Lease Obligation was €1,078 Mil.
Net Income was 148.998 + 63.867 + 124.007 + 147.141 = €484 Mil.
Non Operating Income was 0 + 0 + 0 + 0 = €0 Mil.
Cash Flow from Operations was 252.335 + 215.944 + 349.598 + -359.658 = €458 Mil.
Total Receivables was €1,267 Mil.
Revenue was 1046.39 + 1041.879 + 1033.997 + 999.381 = €4,122 Mil.
Gross Profit was 1046.39 + 1041.879 + 1033.997 + 999.381 = €4,122 Mil.
Total Current Assets was €4,889 Mil.
Total Assets was €35,113 Mil.
Property, Plant and Equipment(Net PPE) was €921 Mil.
Depreciation, Depletion and Amortization(DDA) was €67 Mil.
Selling, General, & Admin. Expense(SGA) was €2,459 Mil.
Total Current Liabilities was €2,107 Mil.
Long-Term Debt & Capital Lease Obligation was €1,109 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)
=(1151.432 / 3979.883) / (1267.297 / 4121.647)
=0.289313 / 0.307473
=0.9409

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)
=(4121.647 / 4121.647) / (3979.883 / 3979.883)
=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 - (5657.1 + 889.255) / 34596.081) / (1 - (4888.506 + 921.336) / 35113.141)
=0.810778 / 0.834539
=0.9715

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
=3979.883 / 4121.647
=0.9656

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))
=(66.823 / (66.823 + 921.336)) / (75.524 / (75.524 + 889.255))
=0.067624 / 0.078281
=0.8639

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)
=(2369.581 / 3979.883) / (2458.839 / 4121.647)
=0.59539 / 0.596567
=0.998

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)
=((1078.052 + 2220.813) / 34596.081) / ((1108.779 + 2106.804) / 35113.141)
=0.095354 / 0.091578
=1.0412

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
=(484.013 - 0 - 458.219) / 34596.081
=0.000746

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.

Stifel Financial has a M-score of -2.60 suggests that the company is unlikely to be a manipulator.


Stifel Financial Beneish M-Score Related Terms

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Stifel Financial (FRA:2SI) Business Description

Traded in Other Exchanges
Address
501 North Broadway, One Financial Plaza, Saint Louis, MO, USA, 63102-2188
Stifel Financial is a middle-market-focused investment bank that produces more than 90% of its revenue in the United States. Approximately 60% of the company's net revenue is derived from its global wealth management division, which supports over 2,000 financial advisors, with the remainder coming from its institutional securities business. Stifel has a history of being an active acquirer of other financial service firms.