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Access Hldgs (Access Hldgs) Beneish M-Score : -1.45 (As of Jun. 10, 2024)


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What is Access Hldgs 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 -1.45 higher than -1.78, which implies that the company might have manipulated its financial results.

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

ACSBL' s Beneish M-Score Range Over the Past 10 Years
Min: -6.29   Med: -2.42   Max: -1.45
Current: -1.45

During the past 13 years, the highest Beneish M-Score of Access Hldgs was -1.45. The lowest was -6.29. And the median was -2.42.


Access Hldgs 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 Access Hldgs 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 * 1.0038+0.892 * 2.1908+0.115 * 1.0139
-0.172 * SGAI+4.679 * TATA-0.327 * LVGI
-0.172 * 0.8364+4.679 * -0.025152-0.327 * 0.8293
=-1.45

* 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 $0 Mil.
Revenue was 333.369 + 420.292 + 236.553 + 178.863 = $1,169 Mil.
Gross Profit was 333.369 + 420.292 + 236.553 + 178.863 = $1,169 Mil.
Total Current Assets was $0 Mil.
Total Assets was $21,491 Mil.
Property, Plant and Equipment(Net PPE) was $321 Mil.
Depreciation, Depletion and Amortization(DDA) was $49 Mil.
Selling, General, & Admin. Expense(SGA) was $86 Mil.
Total Current Liabilities was $0 Mil.
Long-Term Debt & Capital Lease Obligation was $1,737 Mil.
Net Income was 111.472 + 233.293 + 78.17 + 49.524 = $472 Mil.
Non Operating Income was 0 + 0 + 0 + 0 = $0 Mil.
Cash Flow from Operations was -35.574 + 577.75 + 862.517 + -391.711 = $1,013 Mil.
Total Receivables was $0 Mil.
Revenue was 162.97 + 116.086 + 122.984 + 131.579 = $534 Mil.
Gross Profit was 162.97 + 116.086 + 122.984 + 131.579 = $534 Mil.
Total Current Assets was $0 Mil.
Total Assets was $10,428 Mil.
Property, Plant and Equipment(Net PPE) was $194 Mil.
Depreciation, Depletion and Amortization(DDA) was $30 Mil.
Selling, General, & Admin. Expense(SGA) was $47 Mil.
Total Current Liabilities was $0 Mil.
Long-Term Debt & Capital Lease Obligation was $1,016 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 / 1169.077) / (0 / 533.619)
=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)
=(533.619 / 533.619) / (1169.077 / 1169.077)
=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 + 320.74) / 21490.674) / (1 - (0 + 194.496) / 10428.309)
=0.985075 / 0.981349
=1.0038

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
=1169.077 / 533.619
=2.1908

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))
=(30.49 / (30.49 + 194.496)) / (49.485 / (49.485 + 320.74))
=0.13552 / 0.133662
=1.0139

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)
=(86.171 / 1169.077) / (47.024 / 533.619)
=0.073709 / 0.088123
=0.8364

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)
=((1736.655 + 0) / 21490.674) / ((1016.205 + 0) / 10428.309)
=0.08081 / 0.097447
=0.8293

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
=(472.459 - 0 - 1012.982) / 21490.674
=-0.025152

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.

Access Hldgs has a M-score of -1.45 signals that the company is likely to be a manipulator.


Access Hldgs Beneish M-Score Related Terms

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Access Hldgs (Access Hldgs) Business Description

Traded in Other Exchanges
Address
Prince Alaba Abiodun, Oniru Street, 14th Floor, Plot 14/15, Access Towers, Oniru Estate, Victoria Island, Lagos, NGA
Access Bank PLC is a full-service commercial bank based in Nigeria. It serves primarily through four market segments, namely Retail Banking, Business Banking, Commercial Banking, and Corporate and Investment Banking. The Commercial Banking segment provides commercial banking products and services to the non-institutional clients, medium and small corporate segments of the Nigerian market. Corporate & investment banking provides bespoke comprehensive banking products and a full range of services to multinationals, large domestic corporations, and other institutional clients. Retail banking provides financial products and services to individuals and the private banking segment. It has three geographical segments, which include Nigeria, the Rest of Africa, and Europe.