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Laxmi Laghubitta Bittiyanstha (XNEP:LLBS) Beneish M-Score : -2.32 (As of Apr. 08, 2025)


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What is Laxmi 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 -2.32 no higher than -1.78, which implies that the company is unlikely to be a manipulator.

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

XNEP:LLBS' s Beneish M-Score Range Over the Past 10 Years
Min: -3.03   Med: -2.2   Max: -0.83
Current: -2.32

During the past 13 years, the highest Beneish M-Score of Laxmi Laghubitta Bittiyanstha was -0.83. The lowest was -3.03. And the median was -2.20.


Laxmi 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 Laxmi 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 * 1.001+0.892 * 1.1333+0.115 * 1.1268
-0.172 * SGAI+4.679 * TATA-0.327 * LVGI
-0.172 * 1.0971+4.679 * 0.012795-0.327 * 1.043
=-2.32

* 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 (Jul24) TTM:Last Year (Jul23) TTM:
Total Receivables was NPR0.0 Mil.
Revenue was NPR484.3 Mil.
Gross Profit was NPR484.3 Mil.
Total Current Assets was NPR0.0 Mil.
Total Assets was NPR6,679.9 Mil.
Property, Plant and Equipment(Net PPE) was NPR49.4 Mil.
Depreciation, Depletion and Amortization(DDA) was NPR23.7 Mil.
Selling, General, & Admin. Expense(SGA) was NPR48.8 Mil.
Total Current Liabilities was NPR0.0 Mil.
Long-Term Debt & Capital Lease Obligation was NPR3,427.9 Mil.
Net Income was NPR13.3 Mil.
Gross Profit was NPR0.0 Mil.
Cash Flow from Operations was NPR-72.2 Mil.
Total Receivables was NPR0.0 Mil.
Revenue was NPR427.3 Mil.
Gross Profit was NPR427.3 Mil.
Total Current Assets was NPR0.0 Mil.
Total Assets was NPR6,174.5 Mil.
Property, Plant and Equipment(Net PPE) was NPR51.9 Mil.
Depreciation, Depletion and Amortization(DDA) was NPR29.8 Mil.
Selling, General, & Admin. Expense(SGA) was NPR39.3 Mil.
Total Current Liabilities was NPR0.0 Mil.
Long-Term Debt & Capital Lease Obligation was NPR3,037.9 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 / 484.288) / (0 / 427.307)
=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)
=(427.307 / 427.307) / (484.288 / 484.288)
=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 + 49.412) / 6679.932) / (1 - (0 + 51.876) / 6174.532)
=0.992603 / 0.991598
=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
=484.288 / 427.307
=1.1333

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))
=(29.849 / (29.849 + 51.876)) / (23.697 / (23.697 + 49.412))
=0.365237 / 0.324132
=1.1268

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)
=(48.808 / 484.288) / (39.255 / 427.307)
=0.100783 / 0.091866
=1.0971

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)
=((3427.867 + 0) / 6679.932) / ((3037.946 + 0) / 6174.532)
=0.513159 / 0.492012
=1.043

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
=(13.252 - 0 - -72.217) / 6679.932
=0.012795

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.

Laxmi Laghubitta Bittiyanstha has a M-score of -2.32 suggests that the company is unlikely to be a manipulator.


Laxmi Laghubitta Bittiyanstha Beneish M-Score Related Terms

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Laxmi Laghubitta Bittiyanstha Business Description

Traded in Other Exchanges
N/A
Address
Kapan Marg, Maharajgunj, Kathmandu - 03, Kathmandu, NPL
Laxmi Laghubitta Bittiya Sanstha Ltd is a microfinance company. The various financial products and services provided by the company include; saving products like Compulsory Savings Account (CSA), Samriddhi Savings Account (SSA), and Laxmi Bal Bachat Account (LBBA); different types of loans such as Laxmi Educational Loan, Seasonal Business Loan, Alternative Energy Loan, etc.; microinsurance; and remittance services.