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The Housing Bank for Trade & Finance (AMM:THBK) Beneish M-Score : -2.41 (As of Sep. 22, 2024)


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What is The Housing Bank for Trade & Finance 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 -2.41 no higher than -1.78, which implies that the company is unlikely to be a manipulator.

The historical rank and industry rank for The Housing Bank for Trade & Finance's Beneish M-Score or its related term are showing as below:

AMM:THBK' s Beneish M-Score Range Over the Past 10 Years
Min: -4.07   Med: -2.41   Max: -2.13
Current: -2.41

During the past 13 years, the highest Beneish M-Score of The Housing Bank for Trade & Finance was -2.13. The lowest was -4.07. And the median was -2.41.


The Housing Bank for Trade & Finance 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 The Housing Bank for Trade & Finance 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 * 1.001+0.892 * 1.1489+0.115 * 0.9358
-0.172 * SGAI+4.679 * TATA-0.327 * LVGI
-0.172 * 1.0582+4.679 * -0.025767-0.327 * 0.7663
=-2.41

* 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 JOD0.0 Mil.
Revenue was JOD442.1 Mil.
Gross Profit was JOD442.1 Mil.
Total Current Assets was JOD0.0 Mil.
Total Assets was JOD8,676.9 Mil.
Property, Plant and Equipment(Net PPE) was JOD180.6 Mil.
Depreciation, Depletion and Amortization(DDA) was JOD25.9 Mil.
Selling, General, & Admin. Expense(SGA) was JOD7.1 Mil.
Total Current Liabilities was JOD0.0 Mil.
Long-Term Debt & Capital Lease Obligation was JOD206.4 Mil.
Net Income was JOD136.7 Mil.
Gross Profit was JOD0.0 Mil.
Cash Flow from Operations was JOD360.3 Mil.
Total Receivables was JOD0.0 Mil.
Revenue was JOD384.9 Mil.
Gross Profit was JOD384.9 Mil.
Total Current Assets was JOD0.0 Mil.
Total Assets was JOD8,458.6 Mil.
Property, Plant and Equipment(Net PPE) was JOD184.5 Mil.
Depreciation, Depletion and Amortization(DDA) was JOD24.5 Mil.
Selling, General, & Admin. Expense(SGA) was JOD5.9 Mil.
Total Current Liabilities was JOD0.0 Mil.
Long-Term Debt & Capital Lease Obligation was JOD262.5 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 / 442.142) / (0 / 384.851)
=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)
=(384.851 / 384.851) / (442.142 / 442.142)
=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 + 180.61) / 8676.881) / (1 - (0 + 184.522) / 8458.642)
=0.979185 / 0.978185
=1.001

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
=442.142 / 384.851
=1.1489

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))
=(24.501 / (24.501 + 184.522)) / (25.864 / (25.864 + 180.61))
=0.117217 / 0.125265
=0.9358

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)
=(7.129 / 442.142) / (5.864 / 384.851)
=0.016124 / 0.015237
=1.0582

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)
=((206.357 + 0) / 8676.881) / ((262.512 + 0) / 8458.642)
=0.023782 / 0.031035
=0.7663

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
=(136.73 - 0 - 360.311) / 8676.881
=-0.025767

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.

The Housing Bank for Trade & Finance has a M-score of -2.41 suggests that the company is unlikely to be a manipulator.


The Housing Bank for Trade & Finance Beneish M-Score Related Terms

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The Housing Bank for Trade & Finance Business Description

Traded in Other Exchanges
N/A
Address
Al-Shumaysani-Prince Shaker Bin Zaid Street, P.O. Box 7693, Building No. 37, Amman, JOR, 11118
The Housing Bank for Trade & Finance is a commercial banking setup based predominantly in Jordan. The company's operating segment include Retail Banking; Corporate; Corporate Finance; Treasury and Others. Retail Banking segment includes following up on deposits of individual customers and small businesses and granting them loans, debts, credit cards, and other services. Its Corporate segment includes following up on deposits, credit facilities and other banking services for institutional and corporate clients. Corporate Finance segment relates to arranging structured finance and providing services relating to privatizations, IPO's, mergers, and acquisitions. Treasury segment includes providing trading and treasury services and management of the Bank's funds in money and capital markets.