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Swabalamban Laghubitta Bittiyanstha (XNEP:SWBBL) Beneish M-Score : -2.47 (As of Sep. 26, 2024)


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What is Swabalamban Laghubitta Bittiyanstha 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 -2.47 no higher than -1.78, which implies that the company is unlikely to be a manipulator.

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

XNEP:SWBBL' s Beneish M-Score Range Over the Past 10 Years
Min: -2.63   Med: -2.24   Max: -1.96
Current: -2.47

During the past 12 years, the highest Beneish M-Score of Swabalamban Laghubitta Bittiyanstha was -1.96. The lowest was -2.63. And the median was -2.24.


Swabalamban Laghubitta Bittiyanstha 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 Swabalamban Laghubitta Bittiyanstha 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 * 0.9995+0.892 * 0.9498+0.115 * 0.9649
-0.172 * SGAI+4.679 * TATA-0.327 * LVGI
-0.172 * 1.6311+4.679 * 0.017728-0.327 * 0.7502
=-2.47

* 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 (Jul23) TTM:Last Year (Jul22) TTM:
Total Receivables was NPR0 Mil.
Revenue was NPR1,943 Mil.
Gross Profit was NPR1,943 Mil.
Total Current Assets was NPR0 Mil.
Total Assets was NPR19,847 Mil.
Property, Plant and Equipment(Net PPE) was NPR60 Mil.
Depreciation, Depletion and Amortization(DDA) was NPR17 Mil.
Selling, General, & Admin. Expense(SGA) was NPR103 Mil.
Total Current Liabilities was NPR0 Mil.
Long-Term Debt & Capital Lease Obligation was NPR3,220 Mil.
Net Income was NPR269 Mil.
Gross Profit was NPR0 Mil.
Cash Flow from Operations was NPR-83 Mil.
Total Receivables was NPR0 Mil.
Revenue was NPR2,045 Mil.
Gross Profit was NPR2,045 Mil.
Total Current Assets was NPR0 Mil.
Total Assets was NPR20,624 Mil.
Property, Plant and Equipment(Net PPE) was NPR51 Mil.
Depreciation, Depletion and Amortization(DDA) was NPR14 Mil.
Selling, General, & Admin. Expense(SGA) was NPR66 Mil.
Total Current Liabilities was NPR0 Mil.
Long-Term Debt & Capital Lease Obligation was NPR4,460 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 / 1942.817) / (0 / 2045.463)
=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)
=(2045.463 / 2045.463) / (1942.817 / 1942.817)
=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 + 59.83) / 19847.217) / (1 - (0 + 51.478) / 20624.412)
=0.996985 / 0.997504
=0.9995

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
=1942.817 / 2045.463
=0.9498

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))
=(14.219 / (14.219 + 51.478)) / (17.301 / (17.301 + 59.83))
=0.216433 / 0.224307
=0.9649

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)
=(102.785 / 1942.817) / (66.347 / 2045.463)
=0.052905 / 0.032436
=1.6311

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)
=((3219.789 + 0) / 19847.217) / ((4460.111 + 0) / 20624.412)
=0.162229 / 0.216254
=0.7502

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
=(268.886 - 0 - -82.96) / 19847.217
=0.017728

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.

Swabalamban Laghubitta Bittiyanstha has a M-score of -2.47 suggests that the company is unlikely to be a manipulator.


Swabalamban Laghubitta Bittiyanstha Beneish M-Score Related Terms

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Swabalamban Laghubitta Bittiyanstha Business Description

Traded in Other Exchanges
N/A
Address
Kamalpokhari, Kathmandu, NPL, 44600
Swabalamban Laghubitta Bittiya Sanstha Ltd is a microfinance development bank. The company offers savings products like Welfare Fund Saving, Personal Saving, Festival Saving, and Swabalamban Saving, and also offers microloan and micro business loan products for clients and provides micro-insurance services to its clients. Under the scheme, livestock, agro insurance, crop insurance, micro-enterprise insurance, and health insurance policies.