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Can Fin Homes (BOM:511196) Beneish M-Score : -1.64 (As of May. 08, 2024)


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What is Can Fin Homes 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.

Warning Sign:

Beneish M-Score -1.64 higher than -1.78, which implies that the company might have manipulated its financial results.

The historical rank and industry rank for Can Fin Homes's Beneish M-Score or its related term are showing as below:

BOM:511196' s Beneish M-Score Range Over the Past 10 Years
Min: -2.18   Med: -1.75   Max: -1.24
Current: -1.64

During the past 13 years, the highest Beneish M-Score of Can Fin Homes was -1.24. The lowest was -2.18. And the median was -1.75.


Can Fin Homes 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 Can Fin Homes 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 * 1.253+0.115 * 1.1061
-0.172 * SGAI+4.679 * TATA-0.327 * LVGI
-0.172 * 0+4.679 * 0.090715-0.327 * 0.9972
=-1.64

* 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 (Mar24) TTM:Last Year (Mar23) TTM:
Total Receivables was ₹0 Mil.
Revenue was ₹12,659 Mil.
Gross Profit was ₹12,659 Mil.
Total Current Assets was ₹0 Mil.
Total Assets was ₹366,015 Mil.
Property, Plant and Equipment(Net PPE) was ₹526 Mil.
Depreciation, Depletion and Amortization(DDA) was ₹127 Mil.
Selling, General, & Admin. Expense(SGA) was ₹0 Mil.
Total Current Liabilities was ₹0 Mil.
Long-Term Debt & Capital Lease Obligation was ₹316,451 Mil.
Net Income was ₹7,507 Mil.
Gross Profit was ₹0 Mil.
Cash Flow from Operations was ₹-25,696 Mil.
Total Receivables was ₹0 Mil.
Revenue was ₹10,103 Mil.
Gross Profit was ₹10,103 Mil.
Total Current Assets was ₹0 Mil.
Total Assets was ₹330,705 Mil.
Property, Plant and Equipment(Net PPE) was ₹454 Mil.
Depreciation, Depletion and Amortization(DDA) was ₹125 Mil.
Selling, General, & Admin. Expense(SGA) was ₹133 Mil.
Total Current Liabilities was ₹0 Mil.
Long-Term Debt & Capital Lease Obligation was ₹286,717 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 / 12659.114) / (0 / 10102.804)
=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)
=(10102.804 / 10102.804) / (12659.114 / 12659.114)
=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 + 526.185) / 366015.49) / (1 - (0 + 454.037) / 330704.904)
=0.998562 / 0.998627
=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
=12659.114 / 10102.804
=1.253

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))
=(124.554 / (124.554 + 454.037)) / (127.147 / (127.147 + 526.185))
=0.215271 / 0.194613
=1.1061

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)
=(0 / 12659.114) / (133.405 / 10102.804)
=0 / 0.013205
=0

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)
=((316451.21 + 0) / 366015.49) / ((286717.097 + 0) / 330704.904)
=0.864584 / 0.866988
=0.9972

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
=(7506.988 - 0 - -25696.009) / 366015.49
=0.090715

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.

Can Fin Homes has a M-score of -1.64 signals that the company is likely to be a manipulator.


Can Fin Homes Beneish M-Score Related Terms

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Can Fin Homes (BOM:511196) Business Description

Traded in Other Exchanges
Address
No. 29/1, Sir M N Krishna Rao Road, 1st Floor, Lalbagh West Gate, Basavanagudi, Bengaluru, KA, IND, 560 004
Can Fin Homes Ltd is an Indian housing finance institution. The company offers a range of loan products, housing loans as well as non-housing loans. It provides Housing loans to individuals, to Builders/developers, and against Property. The company categorized its business into two structures such as housing loans and non-housing loans. It provides loans for various purposes such as the construction of a house, purchase of ready-built houses/flats, repairs, renovation, and an extension of a house as well as for the purchase of the site from development authorities and private developers/parties. In addition, it also accepts deposits from the public such as Fixed deposits and Cumulative deposits. The revenue generated by the company mainly consists of the interest received.