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Stifel Financial (Stifel Financial) Beneish M-Score : -2.62 (As of May. 11, 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 -2.62 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:

SFpD.PFD' s Beneish M-Score Range Over the Past 10 Years
Min: -3.02   Med: -2.41   Max: -1.54
Current: -2.62

During the past 13 years, the highest Beneish M-Score of Stifel Financial was -1.54. The lowest was -3.02. And the median was -2.41.


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 * 1.0778+0.528 * 1+0.404 * 0.9956+0.892 * 1.0047+0.115 * 1.0165
-0.172 * SGAI+4.679 * TATA-0.327 * LVGI
-0.172 * 1.0029+4.679 * 0.006636-0.327 * 1.7437
=-2.62

* 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 (Mar24) TTM:Last Year (Mar23) TTM:
Total Receivables was $1,533.87 Mil.
Revenue was 1147.271 + 1131 + 1030.638 + 1036.609 = $4,345.52 Mil.
Gross Profit was 1147.271 + 1131 + 1030.638 + 1036.609 = $4,345.52 Mil.
Total Current Assets was $0.00 Mil.
Total Assets was $38,258.28 Mil.
Property, Plant and Equipment(Net PPE) was $1,104.91 Mil.
Depreciation, Depletion and Amortization(DDA) was $83.46 Mil.
Selling, General, & Admin. Expense(SGA) was $2,583.09 Mil.
Total Current Liabilities was $0.00 Mil.
Long-Term Debt & Capital Lease Obligation was $2,030.51 Mil.
Net Income was 163.575 + 162.484 + 68.161 + 134.352 = $528.57 Mil.
Non Operating Income was 0 + 0 + 0 + 0 = $0.00 Mil.
Cash Flow from Operations was -609.721 + 275.175 + 230.463 + 378.763 = $274.68 Mil.
Total Receivables was $1,416.56 Mil.
Revenue was 1092.353 + 1108.464 + 1031.563 + 1093.02 = $4,325.40 Mil.
Gross Profit was 1092.353 + 1108.464 + 1031.563 + 1093.02 = $4,325.40 Mil.
Total Current Assets was $0.00 Mil.
Total Assets was $38,597.65 Mil.
Property, Plant and Equipment(Net PPE) was $949.04 Mil.
Depreciation, Depletion and Amortization(DDA) was $72.95 Mil.
Selling, General, & Admin. Expense(SGA) was $2,563.73 Mil.
Total Current Liabilities was $0.00 Mil.
Long-Term Debt & Capital Lease Obligation was $1,174.82 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)
=(1533.873 / 4345.518) / (1416.559 / 4325.4)
=0.352978 / 0.327498
=1.0778

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)
=(4325.4 / 4325.4) / (4345.518 / 4345.518)
=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 + 1104.905) / 38258.28) / (1 - (0 + 949.038) / 38597.653)
=0.97112 / 0.975412
=0.9956

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
=4345.518 / 4325.4
=1.0047

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))
=(72.954 / (72.954 + 949.038)) / (83.456 / (83.456 + 1104.905))
=0.071384 / 0.070228
=1.0165

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)
=(2583.086 / 4345.518) / (2563.731 / 4325.4)
=0.594425 / 0.592715
=1.0029

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)
=((2030.513 + 0) / 38258.28) / ((1174.822 + 0) / 38597.653)
=0.053074 / 0.030438
=1.7437

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
=(528.572 - 0 - 274.68) / 38258.28
=0.006636

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 -2.62 suggests that the company is unlikely to be a manipulator.


Stifel Financial Beneish M-Score Related Terms

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Stifel Financial (Stifel Financial) 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.