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Indian Overseas Bank (NSE:IOB) Beneish M-Score : -2.31 (As of Dec. 13, 2024)


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What is Indian Overseas 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 -2.31 no higher than -1.78, which implies that the company is unlikely to be a manipulator.

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

NSE:IOB' s Beneish M-Score Range Over the Past 10 Years
Min: -3.94   Med: -2.41   Max: -2.03
Current: -2.31

During the past 13 years, the highest Beneish M-Score of Indian Overseas Bank was -2.03. The lowest was -3.94. And the median was -2.41.


Indian Overseas 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 Indian Overseas 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 * 1.0012+0.892 * 1.2527+0.115 * 0.7948
-0.172 * SGAI+4.679 * TATA-0.327 * LVGI
-0.172 * 0.9253+4.679 * 0.010756-0.327 * 1.3011
=-2.31

* 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 ₹155,023 Mil.
Gross Profit was ₹155,023 Mil.
Total Current Assets was ₹0 Mil.
Total Assets was ₹3,518,693 Mil.
Property, Plant and Equipment(Net PPE) was ₹37,402 Mil.
Depreciation, Depletion and Amortization(DDA) was ₹3,364 Mil.
Selling, General, & Admin. Expense(SGA) was ₹668 Mil.
Total Current Liabilities was ₹0 Mil.
Long-Term Debt & Capital Lease Obligation was ₹303,872 Mil.
Net Income was ₹26,657 Mil.
Gross Profit was ₹0 Mil.
Cash Flow from Operations was ₹-11,189 Mil.
Total Receivables was ₹0 Mil.
Revenue was ₹123,755 Mil.
Gross Profit was ₹123,755 Mil.
Total Current Assets was ₹0 Mil.
Total Assets was ₹3,134,381 Mil.
Property, Plant and Equipment(Net PPE) was ₹37,107 Mil.
Depreciation, Depletion and Amortization(DDA) was ₹2,604 Mil.
Selling, General, & Admin. Expense(SGA) was ₹576 Mil.
Total Current Liabilities was ₹0 Mil.
Long-Term Debt & Capital Lease Obligation was ₹208,038 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 / 155022.553) / (0 / 123755.456)
=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)
=(123755.456 / 123755.456) / (155022.553 / 155022.553)
=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 + 37401.882) / 3518693.218) / (1 - (0 + 37107.387) / 3134380.662)
=0.989371 / 0.988161
=1.0012

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
=155022.553 / 123755.456
=1.2527

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))
=(2604.201 / (2604.201 + 37107.387)) / (3363.692 / (3363.692 + 37401.882))
=0.065578 / 0.082513
=0.7948

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)
=(667.888 / 155022.553) / (576.201 / 123755.456)
=0.004308 / 0.004656
=0.9253

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)
=((303871.655 + 0) / 3518693.218) / ((208037.719 + 0) / 3134380.662)
=0.086359 / 0.066373
=1.3011

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
=(26656.601 - 0 - -11189.486) / 3518693.218
=0.010756

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.

Indian Overseas Bank has a M-score of -2.31 suggests that the company is unlikely to be a manipulator.


Indian Overseas Bank Beneish M-Score Related Terms

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Indian Overseas Bank Business Description

Traded in Other Exchanges
Address
No. 763, Anna Salai, Chennai, TN, IND, 600 002
Indian Overseas Bank is engaged in the banking sector. The bank is based in India and has branches in several Asian countries. The majority of revenue is earned domestically. Its segments are corporate/wholesale banking, treasury, retail banking, and other banking operations. Corporate/wholesale banking provides working capital finance, term loans, and loans for the information technology sector. The Treasury segment offers asset management services, credit cards, settlement services, and locker facilities while the retail banking segment provides current accounts, term deposits, retail loans, mortgages, insurance, and Internet banking.