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American Express Co (BSP:AXPB34) Beneish M-Score : -2.64 (As of Apr. 24, 2024)


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What is American Express Co 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 -2.64 no higher than -1.78, which implies that the company is unlikely to be a manipulator.

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

BSP:AXPB34' s Beneish M-Score Range Over the Past 10 Years
Min: -3.54   Med: -2.62   Max: -2.13
Current: -2.64

During the past 13 years, the highest Beneish M-Score of American Express Co was -2.13. The lowest was -3.54. And the median was -2.62.


American Express Co 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 American Express Co 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 * 0.9725+0.892 * 1.0662+0.115 * 0.9908
-0.172 * SGAI+4.679 * TATA-0.327 * LVGI
-0.172 * 0.9107+4.679 * -0.056908-0.327 * 1.0117
=-2.69

* 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 R$0 Mil.
Revenue was 78685.82 + 77377.642 + 75769.535 + 73014.209 = R$304,847 Mil.
Gross Profit was 78685.82 + 77377.642 + 75769.535 + 73014.209 = R$304,847 Mil.
Total Current Assets was R$278,734 Mil.
Total Assets was R$1,340,866 Mil.
Property, Plant and Equipment(Net PPE) was R$25,586 Mil.
Depreciation, Depletion and Amortization(DDA) was R$8,070 Mil.
Selling, General, & Admin. Expense(SGA) was R$66,405 Mil.
Total Current Liabilities was R$75,459 Mil.
Long-Term Debt & Capital Lease Obligation was R$243,144 Mil.
Net Income was 12135.773 + 9471.313 + 12104.754 + 10551.944 = R$44,264 Mil.
Non Operating Income was 0 + 0 + 0 + 0 = R$0 Mil.
Cash Flow from Operations was 27647.85 + 33166.746 + 40714.643 + 19041.065 = R$120,570 Mil.
Total Receivables was R$0 Mil.
Revenue was 74384.017 + 73131.367 + 70835.792 + 67563.465 = R$285,915 Mil.
Gross Profit was 74384.017 + 73131.367 + 70835.792 + 67563.465 = R$285,915 Mil.
Total Current Assets was R$224,834 Mil.
Total Assets was R$1,228,407 Mil.
Property, Plant and Equipment(Net PPE) was R$27,106 Mil.
Depreciation, Depletion and Amortization(DDA) was R$8,446 Mil.
Selling, General, & Admin. Expense(SGA) was R$68,386 Mil.
Total Current Liabilities was R$74,223 Mil.
Long-Term Debt & Capital Lease Obligation was R$214,271 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 / 304847.206) / (0 / 285914.641)
=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)
=(285914.641 / 285914.641) / (304847.206 / 304847.206)
=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 - (278734.345 + 25586.212) / 1340865.928) / (1 - (224834.427 + 27105.554) / 1228406.641)
=0.773042 / 0.794905
=0.9725

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
=304847.206 / 285914.641
=1.0662

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))
=(8445.561 / (8445.561 + 27105.554)) / (8070.02 / (8070.02 + 25586.212))
=0.237561 / 0.239778
=0.9908

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)
=(66404.682 / 304847.206) / (68385.887 / 285914.641)
=0.217829 / 0.239183
=0.9107

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)
=((243143.715 + 75458.91) / 1340865.928) / ((214271.387 + 74222.55) / 1228406.641)
=0.23761 / 0.234852
=1.0117

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
=(44263.784 - 0 - 120570.304) / 1340865.928
=-0.056908

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.

American Express Co has a M-score of -2.69 suggests that the company is unlikely to be a manipulator.


American Express Co Beneish M-Score Related Terms

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American Express Co (BSP:AXPB34) Business Description

Address
200 Vesey Street, New York, NY, USA, 10285
American Express is a global financial institution, operating in about 130 countries, that provides consumers and businesses charge and credit card payment products. The company also operates a highly profitable merchant payment network. Since 2018, it has operated in three segments: global consumer services, global commercial services, and global merchant and network services. In addition to payment products, the company's commercial business offers expense management tools, consulting services, and business loans.