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Housing Development Finance (BOM:500010) Beneish M-Score : -2.27 (As of May. 25, 2024)


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What is Housing Development 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 -2.27 no higher than -1.78, which implies that the company is unlikely to be a manipulator.

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

BOM:500010' s Beneish M-Score Range Over the Past 10 Years
Min: -2.27   Med: -2.06   Max: -1.2
Current: -2.27

During the past 13 years, the highest Beneish M-Score of Housing Development Finance was -1.20. The lowest was -2.27. And the median was -2.06.


Housing Development 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 Housing Development 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 * 1.0001+0.892 * 1.0689+0.115 * 0.801
-0.172 * SGAI+4.679 * TATA-0.327 * LVGI
-0.172 * 1.6498+4.679 * 0.067327-0.327 * 1.0978
=-2.27

* 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 ₹1,160,071 Mil.
Gross Profit was ₹1,160,071 Mil.
Total Current Assets was ₹0 Mil.
Total Assets was ₹10,915,288 Mil.
Property, Plant and Equipment(Net PPE) was ₹20,309 Mil.
Depreciation, Depletion and Amortization(DDA) was ₹5,968 Mil.
Selling, General, & Admin. Expense(SGA) was ₹2,082 Mil.
Total Current Liabilities was ₹0 Mil.
Long-Term Debt & Capital Lease Obligation was ₹4,196,590 Mil.
Net Income was ₹261,609 Mil.
Gross Profit was ₹0 Mil.
Cash Flow from Operations was ₹-473,285 Mil.
Total Receivables was ₹0 Mil.
Revenue was ₹1,085,258 Mil.
Gross Profit was ₹1,085,258 Mil.
Total Current Assets was ₹0 Mil.
Total Assets was ₹9,663,492 Mil.
Property, Plant and Equipment(Net PPE) was ₹18,837 Mil.
Depreciation, Depletion and Amortization(DDA) was ₹4,189 Mil.
Selling, General, & Admin. Expense(SGA) was ₹1,181 Mil.
Total Current Liabilities was ₹0 Mil.
Long-Term Debt & Capital Lease Obligation was ₹3,384,210 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 / 1160070.9) / (0 / 1085258.2)
=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)
=(1085258.2 / 1085258.2) / (1160070.9 / 1160070.9)
=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 + 20308.9) / 10915288.4) / (1 - (0 + 18837.4) / 9663492)
=0.998139 / 0.998051
=1.0001

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
=1160070.9 / 1085258.2
=1.0689

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))
=(4189.2 / (4189.2 + 18837.4)) / (5968 / (5968 + 20308.9))
=0.181929 / 0.22712
=0.801

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)
=(2082.3 / 1160070.9) / (1180.6 / 1085258.2)
=0.001795 / 0.001088
=1.6498

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)
=((4196589.7 + 0) / 10915288.4) / ((3384209.7 + 0) / 9663492)
=0.384469 / 0.350206
=1.0978

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
=(261609.1 - 0 - -473284.5) / 10915288.4
=0.067327

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.

Housing Development Finance has a M-score of -2.27 suggests that the company is unlikely to be a manipulator.


Housing Development Finance Beneish M-Score Related Terms

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Housing Development Finance (BOM:500010) Business Description

Traded in Other Exchanges
N/A
Address
HDFC House, H.T. Parekh Marg, 165-166, Backbay Reclamation, Churchgate, Mumbai, MH, IND, 400 020
Housing Development Finance Corp Ltd provides housing finance services to customers in India, with a limited number of other international operations. The company is engaged in conservative lending practices through its retail mortgage business, while its customers are mostly first-time homebuyers. The initiation of housing loans, including home improvement and home extension loans, remains as the core business of the company. The company is also engaged in risk management strategies that include derivative securities. Its segments include Loans, Life Insurance, General Insurance, Asset Management, and Others. Geographically, it generates nearly all of its revenue from India.