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United Bank for Africa (NSA:UBA) Beneish M-Score : -1.46 (As of May. 21, 2024)


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What is United Bank for Africa 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.

Warning Sign:

Beneish M-Score -1.46 higher than -1.78, which implies that the company might have manipulated its financial results.

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

NSA:UBA' s Beneish M-Score Range Over the Past 10 Years
Min: -3.06   Med: -2.56   Max: -1.46
Current: -1.46

During the past 13 years, the highest Beneish M-Score of United Bank for Africa was -1.46. The lowest was -3.06. And the median was -2.56.


United Bank for Africa 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 United Bank for Africa 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 * 1.0063+0.892 * 2.7214+0.115 * 0.9289
-0.172 * SGAI+4.679 * TATA-0.327 * LVGI
-0.172 * 0.6421+4.679 * -0.131732-0.327 * 0.8709
=-1.46

* 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 (Dec23) TTM:Last Year (Dec22) TTM:
Total Receivables was ₦0 Mil.
Revenue was 554541 + 233170 + 599933 + 176122 = ₦1,563,766 Mil.
Gross Profit was 554541 + 233170 + 599933 + 176122 = ₦1,563,766 Mil.
Total Current Assets was ₦0 Mil.
Total Assets was ₦20,653,197 Mil.
Property, Plant and Equipment(Net PPE) was ₦267,148 Mil.
Depreciation, Depletion and Amortization(DDA) was ₦36,596 Mil.
Selling, General, & Admin. Expense(SGA) was ₦22,365 Mil.
Total Current Liabilities was ₦0 Mil.
Long-Term Debt & Capital Lease Obligation was ₦868,424 Mil.
Net Income was 156256 + 66442 + 323949 + 50416 = ₦597,063 Mil.
Non Operating Income was 0 + 0 + 0 + 0 = ₦0 Mil.
Cash Flow from Operations was 1652440 + -342349 + 2162547 + -154883 = ₦3,317,755 Mil.
Total Receivables was ₦0 Mil.
Revenue was 159761 + 159280 + 130210 + 125374 = ₦574,625 Mil.
Gross Profit was 159761 + 159280 + 130210 + 125374 = ₦574,625 Mil.
Total Current Assets was ₦0 Mil.
Total Assets was ₦10,857,571 Mil.
Property, Plant and Equipment(Net PPE) was ₦208,038 Mil.
Depreciation, Depletion and Amortization(DDA) was ₦26,218 Mil.
Selling, General, & Admin. Expense(SGA) was ₦12,800 Mil.
Total Current Liabilities was ₦0 Mil.
Long-Term Debt & Capital Lease Obligation was ₦524,202 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 / 1563766) / (0 / 574625)
=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)
=(574625 / 574625) / (1563766 / 1563766)
=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 + 267148) / 20653197) / (1 - (0 + 208038) / 10857571)
=0.987065 / 0.980839
=1.0063

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
=1563766 / 574625
=2.7214

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))
=(26218 / (26218 + 208038)) / (36596 / (36596 + 267148))
=0.11192 / 0.120483
=0.9289

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)
=(22365 / 1563766) / (12800 / 574625)
=0.014302 / 0.022275
=0.6421

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)
=((868424 + 0) / 20653197) / ((524202 + 0) / 10857571)
=0.042048 / 0.04828
=0.8709

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
=(597063 - 0 - 3317755) / 20653197
=-0.131732

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.

United Bank for Africa has a M-score of -1.46 signals that the company is likely to be a manipulator.


United Bank for Africa Beneish M-Score Related Terms

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United Bank for Africa (NSA:UBA) Business Description

Traded in Other Exchanges
N/A
Address
57 Marina, UBA House, Lagos, NGA
United Bank for Africa PLC is a financial services institution. It offers banking and other financial and pension fund custody services. The geographical segments of the company are Nigeria, the Rest of Africa and the Rest of the world. The business segments of the company are 1) Corporate Banking, which provides financial solutions to multinationals, regional companies, state-owned companies, non-governmental organizations, international and multinational organizations and financial institutions. 2) Retail/ Commercial banking segment products and services to the middle and retail segments of the market. 3) Treasury and Financial Markets segment provide financing and risk management solutions and advisory services to the company's corporate and institutional customers.