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Karur Vysya Bank (NSE:KARURVYSYA) Beneish M-Score : -2.43 (As of Dec. 12, 2024)


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What is Karur Vysya Bank 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 -2.43 no higher than -1.78, which implies that the company is unlikely to be a manipulator.

The historical rank and industry rank for Karur Vysya Bank's Beneish M-Score or its related term are showing as below:

NSE:KARURVYSYA' s Beneish M-Score Range Over the Past 10 Years
Min: -3.17   Med: -2.28   Max: -2.17
Current: -2.43

During the past 13 years, the highest Beneish M-Score of Karur Vysya Bank was -2.17. The lowest was -3.17. And the median was -2.28.


Karur Vysya Bank 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 Karur Vysya Bank 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 * 1.0007+0.892 * 1.1847+0.115 * 1.0392
-0.172 * SGAI+4.679 * TATA-0.327 * LVGI
-0.172 * 0.4549+4.679 * -0.012779-0.327 * 1.4781
=-2.43

* 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 ₹49,708 Mil.
Gross Profit was ₹49,708 Mil.
Total Current Assets was ₹0 Mil.
Total Assets was ₹1,055,852 Mil.
Property, Plant and Equipment(Net PPE) was ₹4,329 Mil.
Depreciation, Depletion and Amortization(DDA) was ₹1,003 Mil.
Selling, General, & Admin. Expense(SGA) was ₹108 Mil.
Total Current Liabilities was ₹0 Mil.
Long-Term Debt & Capital Lease Obligation was ₹24,784 Mil.
Net Income was ₹16,048 Mil.
Gross Profit was ₹0 Mil.
Cash Flow from Operations was ₹29,541 Mil.
Total Receivables was ₹0 Mil.
Revenue was ₹41,959 Mil.
Gross Profit was ₹41,959 Mil.
Total Current Assets was ₹0 Mil.
Total Assets was ₹901,794 Mil.
Property, Plant and Equipment(Net PPE) was ₹4,350 Mil.
Depreciation, Depletion and Amortization(DDA) was ₹1,057 Mil.
Selling, General, & Admin. Expense(SGA) was ₹200 Mil.
Total Current Liabilities was ₹0 Mil.
Long-Term Debt & Capital Lease Obligation was ₹14,320 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 / 49708.478) / (0 / 41959.304)
=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)
=(41959.304 / 41959.304) / (49708.478 / 49708.478)
=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 + 4328.809) / 1055851.951) / (1 - (0 + 4350.41) / 901794.235)
=0.9959 / 0.995176
=1.0007

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
=49708.478 / 41959.304
=1.1847

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))
=(1056.645 / (1056.645 + 4350.41)) / (1002.576 / (1002.576 + 4328.809))
=0.19542 / 0.188052
=1.0392

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)
=(107.935 / 49708.478) / (200.238 / 41959.304)
=0.002171 / 0.004772
=0.4549

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)
=((24783.502 + 0) / 1055851.951) / ((14320.12 + 0) / 901794.235)
=0.023473 / 0.01588
=1.4781

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
=(16048.078 - 0 - 29540.64) / 1055851.951
=-0.012779

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.

Karur Vysya Bank has a M-score of -2.43 suggests that the company is unlikely to be a manipulator.


Karur Vysya Bank Beneish M-Score Related Terms

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Karur Vysya Bank Business Description

Traded in Other Exchanges
Address
No. 20, Erode Road, Vadivel Nagar, L.N.S., Karur, TN, IND, 639002
Karur Vysya Bank Ltd is a provider of banking products and financial services headquartered in India. The bank's customers are both individuals and corporations, with individual customers providing the largest amount of revenue to the bank. The company generates all of its revenue domestically through three main segments: Treasury operations, Corporate/Wholesale banking operations, and Retail banking operations. The largest of these by revenue is the retail banking segment, which provides savings accounts, loans, deposits, insurance, and mutual funds. Corporate/wholesale banking includes foreign exchange, trade finance, working capital finance, credit for agriculturalists, term loans, and insurance.