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Wintrust Financial (FRA:WF2) Beneish M-Score : -2.77 (As of May. 18, 2024)


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What is Wintrust 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 -2.77 no higher than -1.78, which implies that the company is unlikely to be a manipulator.

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

FRA:WF2' s Beneish M-Score Range Over the Past 10 Years
Min: -2.88   Med: -2.39   Max: -0.74
Current: -2.77

During the past 13 years, the highest Beneish M-Score of Wintrust Financial was -0.74. The lowest was -2.88. And the median was -2.39.


Wintrust 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 Wintrust 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 * 0.6127+0.528 * 1+0.404 * 1.0014+0.892 * 1.0811+0.115 * 0.9088
-0.172 * SGAI+4.679 * TATA-0.327 * LVGI
-0.172 * 1.0212+4.679 * -0.002017-0.327 * 1.0087
=-2.79

* 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 €1,466 Mil.
Revenue was 556.258 + 523.426 + 538.621 + 517.403 = €2,136 Mil.
Gross Profit was 556.258 + 523.426 + 538.621 + 517.403 = €2,136 Mil.
Total Current Assets was €0 Mil.
Total Assets was €52,971 Mil.
Property, Plant and Equipment(Net PPE) was €946 Mil.
Depreciation, Depletion and Amortization(DDA) was €81 Mil.
Selling, General, & Admin. Expense(SGA) was €836 Mil.
Total Current Liabilities was €0 Mil.
Long-Term Debt & Capital Lease Obligation was €3,618 Mil.
Net Income was 172.31 + 113.231 + 153.854 + 142.834 = €582 Mil.
Non Operating Income was 0 + 0 + 0 + 0 = €0 Mil.
Cash Flow from Operations was 65.435 + 227.349 + 82.697 + 313.59 = €689 Mil.
Total Receivables was €2,213 Mil.
Revenue was 528.424 + 522.178 + 507.959 + 416.946 = €1,976 Mil.
Gross Profit was 528.424 + 522.178 + 507.959 + 416.946 = €1,976 Mil.
Total Current Assets was €0 Mil.
Total Assets was €49,384 Mil.
Property, Plant and Equipment(Net PPE) was €949 Mil.
Depreciation, Depletion and Amortization(DDA) was €73 Mil.
Selling, General, & Admin. Expense(SGA) was €757 Mil.
Total Current Liabilities was €0 Mil.
Long-Term Debt & Capital Lease Obligation was €3,344 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)
=(1466.042 / 2135.708) / (2213.202 / 1975.507)
=0.686443 / 1.120321
=0.6127

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)
=(1975.507 / 1975.507) / (2135.708 / 2135.708)
=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 + 946.06) / 52970.778) / (1 - (0 + 949.489) / 49383.859)
=0.98214 / 0.980773
=1.0014

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
=2135.708 / 1975.507
=1.0811

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))
=(73.209 / (73.209 + 949.489)) / (80.888 / (80.888 + 946.06))
=0.071584 / 0.078765
=0.9088

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)
=(835.651 / 2135.708) / (756.937 / 1975.507)
=0.391276 / 0.383161
=1.0212

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)
=((3618.195 + 0) / 52970.778) / ((3344.237 + 0) / 49383.859)
=0.068305 / 0.067719
=1.0087

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
=(582.229 - 0 - 689.071) / 52970.778
=-0.002017

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.

Wintrust Financial has a M-score of -2.79 suggests that the company is unlikely to be a manipulator.


Wintrust Financial Beneish M-Score Related Terms

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Wintrust Financial (FRA:WF2) Business Description

Traded in Other Exchanges
Address
9700 West Higgins Road, Suite 800, Rosemont, IL, USA, 60018
Wintrust Financial Corp is a financial holding company operating in the Chicago metropolitan area and southern Wisconsin through its wholly-owned banking subsidiaries. Wintrust conducts its business through three segments: community banking, specialty finance, and wealth management. Among other services, the company provides community-oriented, personal, and commercial banking, as well as the origination and purchase of residential mortgages for sale into the secondary market. A majority of its banks are banks chartered by the state of Illinois with scores of locations. The company has historically grown through both de novo organization and acquisitions. A majority of its loan portfolio is commercial, mostly in real estate. A majority of Wintrust's net revenue is net interest income.