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American Express Co (BUE:AXP) Beneish M-Score : -2.64 (As of Apr. 29, 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:

BUE:AXP' 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 * 3.2375+0.115 * 1.3788
-0.172 * SGAI+4.679 * TATA-0.327 * LVGI
-0.172 * 0.9228+4.679 * -0.030051-0.327 * 1.0117
=-0.58

* 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 ARS0 Mil.
Revenue was 13312342.726 + 5700912.005 + 5368933.048 + 3610319.971 = ARS27,992,508 Mil.
Gross Profit was 13312342.726 + 5700912.005 + 5368933.048 + 3610319.971 = ARS27,992,508 Mil.
Total Current Assets was ARS47,157,253 Mil.
Total Assets was ARS226,852,396 Mil.
Property, Plant and Equipment(Net PPE) was ARS4,328,765 Mil.
Depreciation, Depletion and Amortization(DDA) was ARS727,046 Mil.
Selling, General, & Admin. Expense(SGA) was ARS6,160,500 Mil.
Total Current Liabilities was ARS12,766,403 Mil.
Long-Term Debt & Capital Lease Obligation was ARS41,135,906 Mil.
Net Income was 2053172.535 + 697813.001 + 857727.474 + 521759.996 = ARS4,130,473 Mil.
Non Operating Income was 0 + 0 + 0 + 0 = ARS0 Mil.
Cash Flow from Operations was 4677560.08 + 2443609.002 + 2884987.879 + 941519.992 = ARS10,947,677 Mil.
Total Receivables was ARS0 Mil.
Revenue was 2821211.616 + 2337376.235 + 1877075.522 + 1610617.072 = ARS8,646,280 Mil.
Gross Profit was 2821211.616 + 2337376.235 + 1877075.522 + 1610617.072 = ARS8,646,280 Mil.
Total Current Assets was ARS8,527,443 Mil.
Total Assets was ARS46,590,588 Mil.
Property, Plant and Equipment(Net PPE) was ARS1,028,050 Mil.
Depreciation, Depletion and Amortization(DDA) was ARS254,255 Mil.
Selling, General, & Admin. Expense(SGA) was ARS2,062,095 Mil.
Total Current Liabilities was ARS2,815,088 Mil.
Long-Term Debt & Capital Lease Obligation was ARS8,126,812 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 / 27992507.75) / (0 / 8646280.445)
=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)
=(8646280.445 / 8646280.445) / (27992507.75 / 27992507.75)
=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 - (47157253.301 + 4328765.074) / 226852396.356) / (1 - (8527443.498 + 1028050.224) / 46590588.184)
=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
=27992507.75 / 8646280.445
=3.2375

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))
=(254255.06 / (254255.06 + 1028050.224)) / (727045.559 / (727045.559 + 4328765.074))
=0.19828 / 0.143804
=1.3788

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)
=(6160499.928 / 27992507.75) / (2062095.089 / 8646280.445)
=0.220077 / 0.238495
=0.9228

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)
=((41135905.699 + 12766402.717) / 226852396.356) / ((8126812.089 + 2815087.566) / 46590588.184)
=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
=(4130473.006 - 0 - 10947676.953) / 226852396.356
=-0.030051

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 -0.58 signals that the company is likely to be a manipulator.


American Express Co Beneish M-Score Related Terms

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American Express Co (BUE:AXP) 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.