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AU Small Finance Bank (BOM:540611) Beneish M-Score

: -2.50 (As of Today)
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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 -2.5 no higher than -1.78, which implies that the company is unlikely to be a manipulator.

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

BOM:540611' s Beneish M-Score Range Over the Past 10 Years
Min: -3.28   Med: -2.13   Max: 1.86
Current: -2.5

During the past 11 years, the highest Beneish M-Score of AU Small Finance Bank was 1.86. The lowest was -3.28. And the median was -2.13.


AU Small Finance 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 AU Small Finance 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 * 0.9804+0.892 * 1.2913+0.115 * 0.9173
-0.172 * SGAI+4.679 * TATA-0.327 * LVGI
-0.172 * 1.648+4.679 * -0.045066-0.327 * 0.8167
=-2.50

* 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 ₹54,604 Mil.
Gross Profit was ₹54,604 Mil.
Total Current Assets was ₹94,781 Mil.
Total Assets was ₹902,161 Mil.
Property, Plant and Equipment(Net PPE) was ₹7,401 Mil.
Depreciation, Depletion and Amortization(DDA) was ₹1,854 Mil.
Selling, General, & Admin. Expense(SGA) was ₹5,318 Mil.
Total Current Liabilities was ₹5,595 Mil.
Long-Term Debt & Capital Lease Obligation was ₹62,987 Mil.
Net Income was ₹14,279 Mil.
Gross Profit was ₹0 Mil.
Cash Flow from Operations was ₹54,936 Mil.
Total Receivables was ₹0 Mil.
Revenue was ₹42,285 Mil.
Gross Profit was ₹42,285 Mil.
Total Current Assets was ₹59,765 Mil.
Total Assets was ₹690,778 Mil.
Property, Plant and Equipment(Net PPE) was ₹6,226 Mil.
Depreciation, Depletion and Amortization(DDA) was ₹1,402 Mil.
Selling, General, & Admin. Expense(SGA) was ₹2,499 Mil.
Total Current Liabilities was ₹4,390 Mil.
Long-Term Debt & Capital Lease Obligation was ₹59,908 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 / 54604.092) / (0 / 42284.557)
=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)
=(42284.557 / 42284.557) / (54604.092 / 54604.092)
=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 - (94781.102 + 7401.394) / 902161.184) / (1 - (59765.016 + 6225.713) / 690778.004)
=0.886736 / 0.904469
=0.9804

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
=54604.092 / 42284.557
=1.2913

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))
=(1401.666 / (1401.666 + 6225.713)) / (1854.177 / (1854.177 + 7401.394))
=0.183768 / 0.200331
=0.9173

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)
=(5318.374 / 54604.092) / (2499.028 / 42284.557)
=0.097399 / 0.0591
=1.648

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)
=((62986.521 + 5595.49) / 902161.184) / ((59907.786 + 4390.178) / 690778.004)
=0.07602 / 0.093081
=0.8167

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
=(14279.253 - 0 - 54936.398) / 902161.184
=-0.045066

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.

AU Small Finance Bank has a M-score of -2.50 suggests that the company is unlikely to be a manipulator.


AU Small Finance Bank Beneish M-Score Related Terms

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AU Small Finance Bank (BOM:540611) Business Description

Traded in Other Exchanges
Address
Mile 0, Ajmer Road, Bank House, Jaipur, RJ, IND, 302001
AU Small Finance Bank Ltd is engaged in the activities of providing financial services such as personal banking, insurance, retail loans and wholesale banking. The company operates in the business segment namely, Treasury; Retail banking; Wholesale banking; and Other banking operations. It generates maximum revenue from Retail banking segment. The retail banking segment serves retail customers through a branch network and other delivery channels. Revenues of the retail banking segment are derived from interest earned on retail loans, fees from services rendered, and others. Geographically, it operates only in India.