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Webster Financial (Webster Financial) Beneish M-Score

: -2.31 (As of Today)
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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 -2.31 no higher than -1.78, which implies that the company is unlikely to be a manipulator.

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

WBS' s Beneish M-Score Range Over the Past 10 Years
Min: -2.53   Med: -2.33   Max: -0.63
Current: -2.31

During the past 13 years, the highest Beneish M-Score of Webster Financial was -0.63. The lowest was -2.53. And the median was -2.33.


Webster 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 Webster 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 * 0.9252+0.528 * 1+0.404 * 1.1234+0.892 * 1.0724+0.115 * 1.0541
-0.172 * SGAI+4.679 * TATA-0.327 * LVGI
-0.172 * 1.0657+4.679 * -0.001479-0.327 * 0.5948
=-2.31

* 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 $3,198 Mil.
Revenue was 634.836 + 677.518 + 673.203 + 666.049 = $2,652 Mil.
Gross Profit was 634.836 + 677.518 + 673.203 + 666.049 = $2,652 Mil.
Total Current Assets was $4,951 Mil.
Total Assets was $74,945 Mil.
Property, Plant and Equipment(Net PPE) was $430 Mil.
Depreciation, Depletion and Amortization(DDA) was $78 Mil.
Selling, General, & Admin. Expense(SGA) was $785 Mil.
Total Current Liabilities was $1,604 Mil.
Long-Term Debt & Capital Lease Obligation was $3,409 Mil.
Net Income was 185.393 + 226.475 + 234.968 + 221.004 = $868 Mil.
Non Operating Income was 0 + 0 + 0 + 0 = $0 Mil.
Cash Flow from Operations was 87.815 + 427.172 + 249.368 + 214.294 = $979 Mil.
Total Receivables was $3,223 Mil.
Revenue was 704.554 + 662.091 + 607.593 + 498.283 = $2,473 Mil.
Gross Profit was 704.554 + 662.091 + 607.593 + 498.283 = $2,473 Mil.
Total Current Assets was $11,956 Mil.
Total Assets was $71,278 Mil.
Property, Plant and Equipment(Net PPE) was $430 Mil.
Depreciation, Depletion and Amortization(DDA) was $83 Mil.
Selling, General, & Admin. Expense(SGA) was $687 Mil.
Total Current Liabilities was $1,481 Mil.
Long-Term Debt & Capital Lease Obligation was $6,534 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)
=(3198.241 / 2651.606) / (3223.487 / 2472.521)
=1.206152 / 1.303725
=0.9252

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)
=(2472.521 / 2472.521) / (2651.606 / 2651.606)
=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 - (4950.994 + 429.561) / 74945.249) / (1 - (11956.127 + 430.184) / 71277.521)
=0.928207 / 0.826224
=1.1234

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
=2651.606 / 2472.521
=1.0724

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))
=(82.67 / (82.67 + 430.184)) / (77.553 / (77.553 + 429.561))
=0.161196 / 0.15293
=1.0541

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)
=(785.455 / 2651.606) / (687.266 / 2472.521)
=0.296219 / 0.277962
=1.0657

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)
=((3408.838 + 1603.744) / 74945.249) / ((6533.68 + 1481.485) / 71277.521)
=0.066883 / 0.11245
=0.5948

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
=(867.84 - 0 - 978.649) / 74945.249
=-0.001479

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.

Webster Financial has a M-score of -2.31 suggests that the company is unlikely to be a manipulator.


Webster Financial Beneish M-Score Related Terms

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Webster Financial (Webster Financial) Business Description

Traded in Other Exchanges
Address
200 Elm Street, Stamford, CT, USA, 06902
Webster Financial Corp is a full-service provider of financial services, offering commercial and consumer banking, mortgages, and investment advisory along with trust and wealth management services in Connecticut, New York, Rhode Island, Massachusetts, and Pennsylvania. The company's segment includes Commercial Banking, HSA Bank, and Consumer Banking. It generates maximum revenue from the Commercial Banking segment.
Executives
Jack L Kopnisky director, officer: Exec. Chair. Company & Bank C/O STERLING NATIONAL BANK, 400 RELLA BOULEVARD, MONTEBELLO NY 10901
Kristy Berner officer: EVP, GC & Corp Sec C/O PEOPLE'S UNITED BANK, N.A., 850 MAIN STREET, BRIDGEPORT CT 06604
Luis Massiani officer: Chief Operating Officer C/O PROVIDENT BANK, 400 RELLA BOULEVARD, MONTEBELLO NY 10901
Katherine Vines Trumbull officer: Acting General Counsel 200 ELM STREET, STAMFORD CT 06902
Javier L. Evans officer: Chief Human Resources Officer 400 RELLA BOULEVARD, MONTEBELLO NY 10901
Maureen Mitchell director 400 RELLA BOULEVARD, MONTEBELLO NY 10901
Carol Hayles director C/O CIT GROUP, 1 CIT DRIVE, #3251-9, LIVINGSTON NJ 07039
Linda H. Ianieri director C/O WEBSTER FINANCIAL CORP., 145 BANK STREET, WATERBURY CT 06702
Thomas X Geisel officer: President of Comm. Banking 400 RELLA BOULEVARD, MONTEBELLO NY 10901
Christopher J Motl officer: EVP-Commercial Banking C/O WEBSTER FINANCIAL CORP, 145 BANK STREET, WATERBURY CT 06702
William L Atwell director 1601 CHESTNUT ST, PHILADELPHIA PA 19192
Daniel Bley officer: EVP-Chief Risk Officer C/O WEBSTER FINANCIAL CORP, 145 BANK STREET, WATERBURY CT 06702
Karen Higgins-carter officer: Chief Information Officer C/O WEBSTER FINANCIAL CORP, 145 BANK STREET, WATERBURY CT 06702
Jonathan W. Roberts officer: EVP - Ret. Bank. & Cons. Lend. C/O WEBSTER FINANCIAL CORP., 145 BANK STREET, WATERBURY CT 06702
James P Blose officer: General Counsel & Corp. Sec. C/O 21 SCARSDALE ROAD, YONKERS NY 10707