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The Federal Bank (NSE:FEDERALBNK) Beneish M-Score : -2.30 (As of May. 08, 2024)


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What is The Federal 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 -2.3 no higher than -1.78, which implies that the company is unlikely to be a manipulator.

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

NSE:FEDERALBNK' s Beneish M-Score Range Over the Past 10 Years
Min: -2.75   Med: -2.38   Max: -2.06
Current: -2.3

During the past 13 years, the highest Beneish M-Score of The Federal Bank was -2.06. The lowest was -2.75. And the median was -2.38.


The Federal 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 The Federal 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 * 1.0003+0.892 * 1.1961+0.115 * 0.8753
-0.172 * SGAI+4.679 * TATA-0.327 * LVGI
-0.172 * 1+4.679 * -0.008025-0.327 * 0.8203
=-2.30

* 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 ₹122,873 Mil.
Gross Profit was ₹122,873 Mil.
Total Current Assets was ₹0 Mil.
Total Assets was ₹3,178,390 Mil.
Property, Plant and Equipment(Net PPE) was ₹10,630 Mil.
Depreciation, Depletion and Amortization(DDA) was ₹2,340 Mil.
Selling, General, & Admin. Expense(SGA) was ₹0 Mil.
Total Current Liabilities was ₹0 Mil.
Long-Term Debt & Capital Lease Obligation was ₹251,596 Mil.
Net Income was ₹38,804 Mil.
Gross Profit was ₹0 Mil.
Cash Flow from Operations was ₹64,312 Mil.
Total Receivables was ₹0 Mil.
Revenue was ₹102,728 Mil.
Gross Profit was ₹102,728 Mil.
Total Current Assets was ₹0 Mil.
Total Assets was ₹2,680,041 Mil.
Property, Plant and Equipment(Net PPE) was ₹9,717 Mil.
Depreciation, Depletion and Amortization(DDA) was ₹1,822 Mil.
Selling, General, & Admin. Expense(SGA) was ₹0 Mil.
Total Current Liabilities was ₹0 Mil.
Long-Term Debt & Capital Lease Obligation was ₹258,620 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 / 122872.8) / (0 / 102727.7)
=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)
=(102727.7 / 102727.7) / (122872.8 / 122872.8)
=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 + 10630.4) / 3178389.5) / (1 - (0 + 9717.1) / 2680040.6)
=0.996655 / 0.996374
=1.0003

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
=122872.8 / 102727.7
=1.1961

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))
=(1821.8 / (1821.8 + 9717.1)) / (2339.5 / (2339.5 + 10630.4))
=0.157883 / 0.180379
=0.8753

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 / 122872.8) / (0 / 102727.7)
=0 / 0
=1

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)
=((251596.2 + 0) / 3178389.5) / ((258619.8 + 0) / 2680040.6)
=0.079158 / 0.096498
=0.8203

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
=(38804.3 - 0 - 64311.7) / 3178389.5
=-0.008025

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.

The Federal Bank has a M-score of -2.30 suggests that the company is unlikely to be a manipulator.


The Federal Bank Beneish M-Score Related Terms

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The Federal Bank (NSE:FEDERALBNK) Business Description

Traded in Other Exchanges
Address
Federal Towers, P O Box No 103, Aluva, Ernakulam, KL, IND, 683 101
The Federal Bank Ltd is an India-based commercial banking company. The company operates through a network of branches and ATMs across India. The company's business segments consist of the treasury segment, which includes trading and investments in bonds, equities, and mutual funds, derivatives trading, and foreign exchange operations; the corporate/wholesale banking segment, which offers loans and other banking services to corporate and other large clients; the retail banking segment, which provides lending and other banking services to individuals and small-business clients; and other banking operations, which contains para banking activities and other banking transactions. The company generates the majority of its revenue from the Indian market.