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UMB Financial (UMB Financial) Beneish M-Score : -2.99 (As of Apr. 24, 2024)


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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 -2.99 no higher than -1.78, which implies that the company is unlikely to be a manipulator.

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

UMBF' s Beneish M-Score Range Over the Past 10 Years
Min: -2.99   Med: -2.36   Max: -1.43
Current: -2.99

During the past 13 years, the highest Beneish M-Score of UMB Financial was -1.43. The lowest was -2.99. And the median was -2.36.


UMB 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 UMB 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 * 1.0811+0.528 * 1+0.404 * 0.9198+0.892 * 0.9753+0.115 * 0.9133
-0.172 * SGAI+4.679 * TATA-0.327 * LVGI
-0.172 * 1.0849+4.679 * -0.002785-0.327 * 2.4987
=-2.99

* 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 $520 Mil.
Revenue was 334.828 + 320.736 + 328.814 + 341.523 = $1,326 Mil.
Gross Profit was 334.828 + 320.736 + 328.814 + 341.523 = $1,326 Mil.
Total Current Assets was $13,195 Mil.
Total Assets was $44,012 Mil.
Property, Plant and Equipment(Net PPE) was $211 Mil.
Depreciation, Depletion and Amortization(DDA) was $59 Mil.
Selling, General, & Admin. Expense(SGA) was $589 Mil.
Total Current Liabilities was $1,390 Mil.
Long-Term Debt & Capital Lease Obligation was $383 Mil.
Net Income was 70.923 + 96.554 + 90.11 + 92.437 = $350 Mil.
Non Operating Income was 0 + 0 + 0 + 0 = $0 Mil.
Cash Flow from Operations was 84.979 + 232.217 + 153.712 + 1.696 = $473 Mil.
Total Receivables was $493 Mil.
Revenue was 339.749 + 334.756 + 375.908 + 309.023 = $1,359 Mil.
Gross Profit was 339.749 + 334.756 + 375.908 + 309.023 = $1,359 Mil.
Total Current Assets was $9,179 Mil.
Total Assets was $38,512 Mil.
Property, Plant and Equipment(Net PPE) was $218 Mil.
Depreciation, Depletion and Amortization(DDA) was $54 Mil.
Selling, General, & Admin. Expense(SGA) was $557 Mil.
Total Current Liabilities was $240 Mil.
Long-Term Debt & Capital Lease Obligation was $381 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)
=(519.662 / 1325.901) / (492.814 / 1359.436)
=0.391931 / 0.362514
=1.0811

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)
=(1359.436 / 1359.436) / (1325.901 / 1325.901)
=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 - (13195.278 + 211.293) / 44011.674) / (1 - (9178.948 + 217.964) / 38512.461)
=0.695386 / 0.756003
=0.9198

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
=1325.901 / 1359.436
=0.9753

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))
=(54.022 / (54.022 + 217.964)) / (58.723 / (58.723 + 211.293))
=0.198621 / 0.21748
=0.9133

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)
=(589.488 / 1325.901) / (557.086 / 1359.436)
=0.444594 / 0.409792
=1.0849

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)
=((383.247 + 1389.86) / 44011.674) / ((381.311 + 239.624) / 38512.461)
=0.040287 / 0.016123
=2.4987

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
=(350.024 - 0 - 472.604) / 44011.674
=-0.002785

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.

UMB Financial has a M-score of -2.99 suggests that the company is unlikely to be a manipulator.


UMB Financial Beneish M-Score Related Terms

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UMB Financial (UMB Financial) Business Description

Traded in Other Exchanges
Address
1010 Grand Boulevard, Kansas, MO, USA, 64106
UMB Financial Corp, or UMBF, is a financial services holding company offering a suite of banking, asset management, and health spending solutions. Its customer base includes commercial, institutional, and personal customers across the United States. The company's banking subsidiaries own and operate banking and wealth-management centres mostly throughout the Midwest and Southwest regions of the U.S. Subsidiaries of the holding company and its lead bank, UMB Bank, include mutual fund and alternative investment services groups, single-purpose companies that deal with brokerage services and insurance, and a registered investment advisory. The bank's revenue is split nearly evenly between interest income and noninterest income.
Executives
Thomas S Terry officer: Chief Lending Officer 1010 GRAND BOULEVARD, KANSAS CITY MO 64106
Robert Brian Beaird officer: Chief Human Resource Officer 1010 GRAND BLVD, KANSAS CITY MO 64106
Uma Wilson officer: Executive Vice President 1010 GRAND BLVD, KANSAS CITY MO 64106
Shannon Andresen Johnson officer: EVP/Chief HR Officer 1010 GRAND BLVD, KANSAS CITY MO 64106
J Mariner Kemper officer: Vice Chairman 1010 GRAND BLVD., KANSAS CITY MO 64106
Abigail M Wendel officer: President - Consumer Banking 1010 GRAND BOULEVARD, KANSAS CITY MO 64106
Tamara Peterman director 1010 GRAND BLVD, KANSAS CITY MO 64106
Greg M Graves director 1010 GRAND BLVD, KANSAS CITY MO 64106
Nikki Farentino Newton officer: President, Private Wealth Mgmt 1010 GRAND BLVD, KANSAS CITY MO 64106
Timothy R. Murphy director 1524 N. CORRINGTON AVE, KANSAS CITY MO 64120
Phillip James Mason officer: President, Inst. Banking 1010 GRAND BLVD, KANSAS CITY MO 64106
Janine Davidson director 1010 GRAND BLVD, KANSAS CITY MO 64106
Lansford E. Gordon director 1001 LOCUST ST., KANSAS CITY MO 64106
Kris A Robbins director
L Joshua Sosland director