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Ecobank Transnational (XBRV:ETIT) Beneish M-Score : -2.36 (As of Apr. 01, 2025)


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What is Ecobank Transnational 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 -2.36 no higher than -1.78, which implies that the company is unlikely to be a manipulator.

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

XBRV:ETIT' s Beneish M-Score Range Over the Past 10 Years
Min: -3.68   Med: -2.76   Max: -1.01
Current: -2.36

During the past 13 years, the highest Beneish M-Score of Ecobank Transnational was -1.01. The lowest was -3.68. And the median was -2.76.


Ecobank Transnational 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 Ecobank Transnational 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 * 1.0032+0.892 * 1.1789+0.115 * 1.0472
-0.172 * SGAI+4.679 * TATA-0.327 * LVGI
-0.172 * 0+4.679 * -0.041117-0.327 * 1.0724
=-2.36

* 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 XOF0 Mil.
Revenue was 268872.429 + 266516.17 + 295195.007 + 337341.561 = XOF1,167,925 Mil.
Gross Profit was 268872.429 + 266516.17 + 295195.007 + 337341.561 = XOF1,167,925 Mil.
Total Current Assets was XOF0 Mil.
Total Assets was XOF16,098,981 Mil.
Property, Plant and Equipment(Net PPE) was XOF320,383 Mil.
Depreciation, Depletion and Amortization(DDA) was XOF47,000 Mil.
Selling, General, & Admin. Expense(SGA) was XOF0 Mil.
Total Current Liabilities was XOF0 Mil.
Long-Term Debt & Capital Lease Obligation was XOF1,398,752 Mil.
Net Income was 47052.448 + 54032.723 + 43852.978 + 38767.046 = XOF183,705 Mil.
Non Operating Income was 0 + 0 + 0 + 0 = XOF0 Mil.
Cash Flow from Operations was 551795.125 + 164424.118 + 61298.513 + 68123.603 = XOF845,641 Mil.
Total Receivables was XOF0 Mil.
Revenue was 239067.898 + 284731.566 + 268644.502 + 198280.422 = XOF990,724 Mil.
Gross Profit was 239067.898 + 284731.566 + 268644.502 + 198280.422 = XOF990,724 Mil.
Total Current Assets was XOF0 Mil.
Total Assets was XOF16,151,238 Mil.
Property, Plant and Equipment(Net PPE) was XOF371,758 Mil.
Depreciation, Depletion and Amortization(DDA) was XOF57,506 Mil.
Selling, General, & Admin. Expense(SGA) was XOF25,105 Mil.
Total Current Liabilities was XOF0 Mil.
Long-Term Debt & Capital Lease Obligation was XOF1,308,599 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 / 1167925.167) / (0 / 990724.388)
=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)
=(990724.388 / 990724.388) / (1167925.167 / 1167925.167)
=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 + 320383.403) / 16098981.086) / (1 - (0 + 371757.984) / 16151238.279)
=0.980099 / 0.976983
=1.0032

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
=1167925.167 / 990724.388
=1.1789

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))
=(57506.189 / (57506.189 + 371757.984)) / (47000.316 / (47000.316 + 320383.403))
=0.133965 / 0.127932
=1.0472

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)
=(0 / 1167925.167) / (25105.348 / 990724.388)
=0 / 0.02534
=0

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)
=((1398751.916 + 0) / 16098981.086) / ((1308598.771 + 0) / 16151238.279)
=0.086884 / 0.081022
=1.0724

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
=(183705.195 - 0 - 845641.359) / 16098981.086
=-0.041117

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.

Ecobank Transnational has a M-score of -2.36 suggests that the company is unlikely to be a manipulator.


Ecobank Transnational Beneish M-Score Related Terms

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Ecobank Transnational Business Description

Traded in Other Exchanges
Address
2365, Boulevard du Mono, Lome, TGO, 3261
Ecobank Transnational Inc is a pan-African banking group that through its subsidiaries provides retail, investment, and corporate banking services to governments, financial institutions, multinationals, local companies, small and mid-size enterprises(SMEs), and individuals. It provides banking services throughout sub-Saharan Africa outside South Africa. Its activities are grouped into three customer-focused business segments namely Corporate and Investment Banking, Commercial Banking, and Consumer Banking. The company's geographical segments include Francophone West Africa (UEMOA), Nigeria, Anglophone West Africa (AWA), Central, Eastern and Southern Africa (CESA), and others.