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U.S. Bancorp (BUE:USB) Beneish M-Score : -2.61 (As of Dec. 11, 2024)


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What is U.S. Bancorp 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 -2.61 no higher than -1.78, which implies that the company is unlikely to be a manipulator.

The historical rank and industry rank for U.S. Bancorp's Beneish M-Score or its related term are showing as below:

BUE:USB' s Beneish M-Score Range Over the Past 10 Years
Min: -2.81   Med: -2.52   Max: -1.81
Current: -2.61

During the past 13 years, the highest Beneish M-Score of U.S. Bancorp was -1.81. The lowest was -2.81. And the median was -2.52.


U.S. Bancorp 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 U.S. Bancorp 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 * 0.8402+0.528 * 1+0.404 * 1.0002+0.892 * 3.1162+0.115 * 0.8865
-0.172 * SGAI+4.679 * TATA-0.327 * LVGI
-0.172 * 1.0491+4.679 * -0.002158-0.327 * 1.239
=-0.85

* 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 (Sep24) TTM:Last Year (Sep23) TTM:
Total Receivables was ARS7,834,021 Mil.
Revenue was 6494766.215 + 6123428.912 + 5632112.596 + 2429891.002 = ARS20,680,199 Mil.
Gross Profit was 6494766.215 + 6123428.912 + 5632112.596 + 2429891.002 = ARS20,680,199 Mil.
Total Current Assets was ARS0 Mil.
Total Assets was ARS652,488,756 Mil.
Property, Plant and Equipment(Net PPE) was ARS3,407,542 Mil.
Depreciation, Depletion and Amortization(DDA) was ARS718,192 Mil.
Selling, General, & Admin. Expense(SGA) was ARS8,548,067 Mil.
Total Current Liabilities was ARS0 Mil.
Long-Term Debt & Capital Lease Obligation was ARS52,124,467 Mil.
Net Income was 1629156.928 + 1435486.479 + 1111257.519 + 305767 = ARS4,481,668 Mil.
Non Operating Income was 0 + 0 + 0 + 0 = ARS0 Mil.
Cash Flow from Operations was 923885.959 + 2573666.963 + 2241892.538 + 150176 = ARS5,889,621 Mil.
Total Receivables was ARS2,992,073 Mil.
Revenue was 2449650.067 + 1713839.986 + 1410704.583 + 1062230.371 = ARS6,636,425 Mil.
Gross Profit was 2449650.067 + 1713839.986 + 1410704.583 + 1062230.371 = ARS6,636,425 Mil.
Total Current Assets was ARS0 Mil.
Total Assets was ARS233,780,254 Mil.
Property, Plant and Equipment(Net PPE) was ARS1,265,419 Mil.
Depreciation, Depletion and Amortization(DDA) was ARS230,896 Mil.
Selling, General, & Admin. Expense(SGA) was ARS2,614,686 Mil.
Total Current Liabilities was ARS0 Mil.
Long-Term Debt & Capital Lease Obligation was ARS15,073,747 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)
=(7834020.656 / 20680198.725) / (2992072.582 / 6636425.007)
=0.378817 / 0.450856
=0.8402

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)
=(6636425.007 / 6636425.007) / (20680198.725 / 20680198.725)
=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 + 3407542.35) / 652488755.823) / (1 - (0 + 1265419.235) / 233780254.491)
=0.994778 / 0.994587
=1.0002

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
=20680198.725 / 6636425.007
=3.1162

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))
=(230896.302 / (230896.302 + 1265419.235)) / (718192.49 / (718192.49 + 3407542.35))
=0.15431 / 0.174076
=0.8865

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)
=(8548066.888 / 20680198.725) / (2614685.773 / 6636425.007)
=0.413345 / 0.39399
=1.0491

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)
=((52124467.209 + 0) / 652488755.823) / ((15073746.715 + 0) / 233780254.491)
=0.079886 / 0.064478
=1.239

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
=(4481667.926 - 0 - 5889621.46) / 652488755.823
=-0.002158

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.

U.S. Bancorp has a M-score of -0.85 signals that the company is likely to be a manipulator.


U.S. Bancorp Beneish M-Score Related Terms

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U.S. Bancorp Business Description

Address
800 Nicollet Mall, Minneapolis, MN, USA, 55402
With assets of around $680 billion, U.S. Bancorp is one of the largest regional banks in the us with its footprint in 26 states. The bank's branch network is mostly in the midwestern and western markets. U.S. Bancorp has a comprehensive product set, with offerings in retail and commercial banking, credit cards, mortgages, payment services, trust, and wealth services.