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Enterprise Financial Services (Enterprise Financial Services) Beneish M-Score : -2.26 (As of Apr. 27, 2024)


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What is Enterprise Financial Services 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 -2.26 no higher than -1.78, which implies that the company is unlikely to be a manipulator.

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

EFSC' s Beneish M-Score Range Over the Past 10 Years
Min: -3.22   Med: -2.3   Max: -2.06
Current: -2.26

During the past 13 years, the highest Beneish M-Score of Enterprise Financial Services was -2.06. The lowest was -3.22. And the median was -2.30.


Enterprise Financial Services 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 Enterprise Financial Services 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+0.528 * 1+0.404 * 0.9994+0.892 * 1.1118+0.115 * 1.1708
-0.172 * SGAI+4.679 * TATA-0.327 * LVGI
-0.172 * 1.0372+4.679 * -0.005109-0.327 * 0.5929
=-2.26

* 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 $0.0 Mil.
Revenue was 141.861 + 130.605 + 136.116 + 141.803 = $550.4 Mil.
Gross Profit was 141.861 + 130.605 + 136.116 + 141.803 = $550.4 Mil.
Total Current Assets was $2,052.3 Mil.
Total Assets was $14,518.6 Mil.
Property, Plant and Equipment(Net PPE) was $42.7 Mil.
Depreciation, Depletion and Amortization(DDA) was $11.3 Mil.
Selling, General, & Admin. Expense(SGA) was $177.7 Mil.
Total Current Liabilities was $0.0 Mil.
Long-Term Debt & Capital Lease Obligation was $203.6 Mil.
Net Income was 44.529 + 44.665 + 49.127 + 55.738 = $194.1 Mil.
Non Operating Income was 0 + 0 + 0 + 0 = $0.0 Mil.
Cash Flow from Operations was 78.986 + 49.466 + 70.61 + 69.176 = $268.2 Mil.
Total Receivables was $0.0 Mil.
Revenue was 141.512 + 124.315 + 115.4 + 113.813 = $495.0 Mil.
Gross Profit was 141.512 + 124.315 + 115.4 + 113.813 = $495.0 Mil.
Total Current Assets was $1,833.4 Mil.
Total Assets was $13,054.2 Mil.
Property, Plant and Equipment(Net PPE) was $43.0 Mil.
Depreciation, Depletion and Amortization(DDA) was $14.0 Mil.
Selling, General, & Admin. Expense(SGA) was $154.1 Mil.
Total Current Liabilities was $0.0 Mil.
Long-Term Debt & Capital Lease Obligation was $308.8 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)
=(0 / 550.385) / (0 / 495.04)
=0 / 0
=1

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)
=(495.04 / 495.04) / (550.385 / 550.385)
=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 - (2052.278 + 42.681) / 14518.59) / (1 - (1833.442 + 42.985) / 13054.172)
=0.855705 / 0.856258
=0.9994

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
=550.385 / 495.04
=1.1118

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))
=(14.006 / (14.006 + 42.985)) / (11.339 / (11.339 + 42.681))
=0.245758 / 0.209904
=1.1708

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)
=(177.73 / 550.385) / (154.127 / 495.04)
=0.322919 / 0.311343
=1.0372

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)
=((203.616 + 0) / 14518.59) / ((308.779 + 0) / 13054.172)
=0.014025 / 0.023654
=0.5929

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
=(194.059 - 0 - 268.238) / 14518.59
=-0.005109

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.

Enterprise Financial Services has a M-score of -2.26 suggests that the company is unlikely to be a manipulator.


Enterprise Financial Services Beneish M-Score Related Terms

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Enterprise Financial Services (Enterprise Financial Services) Business Description

Traded in Other Exchanges
N/A
Address
150 North Meramec Avenue, Clayton, MO, USA, 63105
Enterprise Financial Services Corporation is a financial holding company. It offers banking and wealth management services to individuals and business customers. The company offers a broad range of business and personal banking services including wealth management services. Lending services include commercial and industrial, commercial real estate, real estate construction and development, residential real estate, and consumer loans.
Executives
Richard Sanborn director
Guest Robert E Jr director 150 N MERAMEC, CLAYTON MO 63105
Stephen P Marsh officer: President 150 N. MERAMEC, CLAYTON MI 63105
Bridget Huffman officer: SEVP, Chief Risk Officer 150 N MERAMEC, CLAYTON MO 63105
Lina A Young director 150 N MERAMEC, CLAYTON MO 63105
Marcela Manjarrez director 150 N MERAMEC, CLAYTON MO 63105
Lyne Andrich director 150 N MERAMEC, CLAYTON MO 63105
Daniel A Rodrigues director C/O ENGINEERED SUPPORT SYSTEMS INC, 201 EVANS LANE, ST LOUIS MO 63121
Peter Hui director 17785 CENTER COURT DRIVE, SUITE 750, CERRITOS CA 90703
Tony Scavuzzo director 102 E. FRONT ST., MONROE MI 48161
Troy Dumlao officer: SVP, Chief Accounting Officer 821 17TH STREET, C/O VOXWARE INC, DENVER CO 80229
S Turner Keene officer: EVP, Chief Financial Officer P O BOX 547, BOYERTOWN PA 19512
John S Eulich director 411 FOUNTAIN LAKES BLVD., ST. CHARLES MO 63301
Scott Richard Goodman officer: President, St. Louis Region 150 N. MERAMEC, ST. LOUIS MO 63105
James F. Deutsch director C/O STERLING NATIONAL BANK, 400 RELLA BOULEVARD, MONTEBELLO NY 10901