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Ecobank Transnational (XGHA:ETI) Beneish M-Score : -2.54 (As of Jun. 22, 2024)


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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 -2.54 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:

XGHA:ETI' s Beneish M-Score Range Over the Past 10 Years
Min: -3.65   Med: -2.77   Max: -1.01
Current: -2.54

During the past 13 years, the highest Beneish M-Score of Ecobank Transnational was -1.01. The lowest was -3.65. And the median was -2.77.


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 * 1.0041+0.892 * 1.1995+0.115 * 0.9233
-0.172 * SGAI+4.679 * TATA-0.327 * LVGI
-0.172 * 0+4.679 * -0.078182-0.327 * 1.1021
=-2.54

* 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 GHS0 Mil.
Revenue was 7362.185 + 8012.338 + 6095.61 + 7877.965 = GHS29,348 Mil.
Gross Profit was 7362.185 + 8012.338 + 6095.61 + 7877.965 = GHS29,348 Mil.
Total Current Assets was GHS0 Mil.
Total Assets was GHS401,032 Mil.
Property, Plant and Equipment(Net PPE) was GHS8,543 Mil.
Depreciation, Depletion and Amortization(DDA) was GHS1,283 Mil.
Selling, General, & Admin. Expense(SGA) was GHS0 Mil.
Total Current Liabilities was GHS0 Mil.
Long-Term Debt & Capital Lease Obligation was GHS38,357 Mil.
Net Income was 1093.697 + 966.853 + 1007.038 + 1482.421 = GHS4,550 Mil.
Non Operating Income was 0 + 0 + 0 + 0 = GHS0 Mil.
Cash Flow from Operations was 1528.789 + 1699.008 + 15498.842 + 17176.88 = GHS35,904 Mil.
Total Receivables was GHS0 Mil.
Revenue was 6700.014 + 4945.128 + 6639.177 + 6183.221 = GHS24,468 Mil.
Gross Profit was 6700.014 + 4945.128 + 6639.177 + 6183.221 = GHS24,468 Mil.
Total Current Assets was GHS0 Mil.
Total Assets was GHS434,138 Mil.
Property, Plant and Equipment(Net PPE) was GHS10,964 Mil.
Depreciation, Depletion and Amortization(DDA) was GHS1,503 Mil.
Selling, General, & Admin. Expense(SGA) was GHS626 Mil.
Total Current Liabilities was GHS0 Mil.
Long-Term Debt & Capital Lease Obligation was GHS37,676 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 / 29348.098) / (0 / 24467.54)
=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)
=(24467.54 / 24467.54) / (29348.098 / 29348.098)
=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 + 8542.586) / 401031.568) / (1 - (0 + 10963.891) / 434137.741)
=0.978698 / 0.974746
=1.0041

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
=29348.098 / 24467.54
=1.1995

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))
=(1503.148 / (1503.148 + 10963.891)) / (1283.101 / (1283.101 + 8542.586))
=0.12057 / 0.130586
=0.9233

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 / 29348.098) / (626.129 / 24467.54)
=0 / 0.02559
=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)
=((38356.724 + 0) / 401031.568) / ((37676.138 + 0) / 434137.741)
=0.095645 / 0.086784
=1.1021

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
=(4550.009 - 0 - 35903.519) / 401031.568
=-0.078182

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 -2.54 suggests that the company is unlikely to be a manipulator.


Ecobank Transnational Beneish M-Score Related Terms

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Ecobank Transnational (XGHA:ETI) 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 Bank, Commercial banking, and Consumer. The company's Geographical segments include Francophone West Africa (UEMOA), Nigeria, Anglophone West Africa (AWA), Central, Eastern and Southern Africa (CESA), and others.