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WSFS Financial (FRA:WF4) Beneish M-Score : -2.36 (As of May. 26, 2024)


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

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

FRA:WF4' s Beneish M-Score Range Over the Past 10 Years
Min: -4.56   Med: -2.34   Max: -1.39
Current: -2.36

During the past 13 years, the highest Beneish M-Score of WSFS Financial was -1.39. The lowest was -4.56. And the median was -2.34.


WSFS 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 WSFS 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 * 1.1086+0.528 * 1+0.404 * 1.0004+0.892 * 1.0144+0.115 * 1.0025
-0.172 * SGAI+4.679 * TATA-0.327 * LVGI
-0.172 * 0.9911+4.679 * -0.002396-0.327 * 0.9759
=-2.37

* 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 €81.2 Mil.
Revenue was 231.044 + 243.309 + 239.188 + 229.067 = €942.6 Mil.
Gross Profit was 231.044 + 243.309 + 239.188 + 229.067 = €942.6 Mil.
Total Current Assets was €0.0 Mil.
Total Assets was €18,932.9 Mil.
Property, Plant and Equipment(Net PPE) was €96.2 Mil.
Depreciation, Depletion and Amortization(DDA) was €43.8 Mil.
Selling, General, & Admin. Expense(SGA) was €295.9 Mil.
Total Current Liabilities was €0.0 Mil.
Long-Term Debt & Capital Lease Obligation was €1,035.0 Mil.
Net Income was 60.5 + 58.604 + 69.494 + 63.39 = €252.0 Mil.
Non Operating Income was 0 + 0 + 0 + 0 = €0.0 Mil.
Cash Flow from Operations was 103.837 + -46.587 + 154.838 + 85.255 = €297.3 Mil.
Total Receivables was €72.3 Mil.
Revenue was 229.446 + 244.275 + 241.877 + 213.673 = €929.3 Mil.
Gross Profit was 229.446 + 244.275 + 241.877 + 213.673 = €929.3 Mil.
Total Current Assets was €0.0 Mil.
Total Assets was €18,978.2 Mil.
Property, Plant and Equipment(Net PPE) was €104.7 Mil.
Depreciation, Depletion and Amortization(DDA) was €47.8 Mil.
Selling, General, & Admin. Expense(SGA) was €294.4 Mil.
Total Current Liabilities was €0.0 Mil.
Long-Term Debt & Capital Lease Obligation was €1,063.1 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)
=(81.245 / 942.608) / (72.251 / 929.271)
=0.086192 / 0.07775
=1.1086

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)
=(929.271 / 929.271) / (942.608 / 942.608)
=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 + 96.248) / 18932.908) / (1 - (0 + 104.728) / 18978.217)
=0.994916 / 0.994482
=1.0004

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
=942.608 / 929.271
=1.0144

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))
=(47.831 / (47.831 + 104.728)) / (43.798 / (43.798 + 96.248))
=0.313525 / 0.31274
=1.0025

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)
=(295.941 / 942.608) / (294.378 / 929.271)
=0.31396 / 0.316784
=0.9911

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)
=((1034.961 + 0) / 18932.908) / ((1063.084 + 0) / 18978.217)
=0.054665 / 0.056016
=0.9759

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
=(251.988 - 0 - 297.343) / 18932.908
=-0.002396

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.

WSFS Financial has a M-score of -2.37 suggests that the company is unlikely to be a manipulator.


WSFS Financial Beneish M-Score Related Terms

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WSFS Financial (FRA:WF4) Business Description

Traded in Other Exchanges
Address
500 Delaware Avenue, Wilmington, DE, USA, 19801
WSFS Financial Corp is a savings and loan holding company. The company operates in three segments: WSFS Bank provides loans and leases and other financial products to commercial and consumer customers. Cash Connect segment provides ATM vault cash, smart safe, and other cash logistics services; and Wealth Management provides a broad array of planning and advisor services, investment management, personal and institutional trust services, and credit and deposit products to individuals, corporate, and institutional clients.