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LIC Housing Finance (NSE:LICHSGFIN) Beneish M-Score : -2.04 (As of May. 14, 2024)


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What is LIC Housing 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 -2.04 no higher than -1.78, which implies that the company is unlikely to be a manipulator.

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

NSE:LICHSGFIN' s Beneish M-Score Range Over the Past 10 Years
Min: -2.09   Med: -1.83   Max: -1.65
Current: -2.04

During the past 13 years, the highest Beneish M-Score of LIC Housing Finance was -1.65. The lowest was -2.09. And the median was -1.83.


LIC Housing 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 LIC Housing 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 * 0.9999+0.892 * 1.1272+0.115 * 0.9613
-0.172 * SGAI+4.679 * TATA-0.327 * LVGI
-0.172 * 1.2313+4.679 * 0.080815-0.327 * 1.037
=-2.04

* 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 (Mar23) TTM:Last Year (Mar22) TTM:
Total Receivables was ₹0 Mil.
Revenue was ₹63,976 Mil.
Gross Profit was ₹63,976 Mil.
Total Current Assets was ₹0 Mil.
Total Assets was ₹2,785,590 Mil.
Property, Plant and Equipment(Net PPE) was ₹3,529 Mil.
Depreciation, Depletion and Amortization(DDA) was ₹656 Mil.
Selling, General, & Admin. Expense(SGA) was ₹551 Mil.
Total Current Liabilities was ₹0 Mil.
Long-Term Debt & Capital Lease Obligation was ₹2,339,601 Mil.
Net Income was ₹28,908 Mil.
Gross Profit was ₹0 Mil.
Cash Flow from Operations was ₹-196,211 Mil.
Total Receivables was ₹0 Mil.
Revenue was ₹56,757 Mil.
Gross Profit was ₹56,757 Mil.
Total Current Assets was ₹0 Mil.
Total Assets was ₹2,546,868 Mil.
Property, Plant and Equipment(Net PPE) was ₹2,957 Mil.
Depreciation, Depletion and Amortization(DDA) was ₹524 Mil.
Selling, General, & Admin. Expense(SGA) was ₹397 Mil.
Total Current Liabilities was ₹0 Mil.
Long-Term Debt & Capital Lease Obligation was ₹2,062,789 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 / 63975.5) / (0 / 56757.3)
=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)
=(56757.3 / 56757.3) / (63975.5 / 63975.5)
=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 + 3528.6) / 2785589.7) / (1 - (0 + 2957) / 2546867.7)
=0.998733 / 0.998839
=0.9999

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
=63975.5 / 56757.3
=1.1272

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))
=(524.4 / (524.4 + 2957)) / (655.6 / (655.6 + 3528.6))
=0.150629 / 0.156685
=0.9613

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)
=(551.1 / 63975.5) / (397.1 / 56757.3)
=0.008614 / 0.006996
=1.2313

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)
=((2339600.5 + 0) / 2785589.7) / ((2062789.2 + 0) / 2546867.7)
=0.839894 / 0.809932
=1.037

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
=(28907.7 - 0 - -196210.8) / 2785589.7
=0.080815

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.

LIC Housing Finance has a M-score of -2.04 suggests that the company is unlikely to be a manipulator.


LIC Housing Finance Beneish M-Score Related Terms

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LIC Housing Finance (NSE:LICHSGFIN) Business Description

Traded in Other Exchanges
Address
131 Maker Tower, F Premises, 13th Floor, Cuffe Parade, Mumbai, MH, IND, 400 005
LIC Housing Finance Ltd is a housing finance company that provides loans, primarily in India. Its main objective is to provide long-term finance to individuals for residential purchases or construction. LIC Housing provides a wide range of loan products to individuals and also provides commercial financing for corporations and building developers. These activities include senior housing, marketing of financial services, and investment management.