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SBI Cards and Payment Services (BOM:543066) Beneish M-Score : -1.53 (As of May. 13, 2024)


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What is SBI Cards and Payment Services 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 -1.53 higher than -1.78, which implies that the company might have manipulated its financial results.

The historical rank and industry rank for SBI Cards and Payment Services's Beneish M-Score or its related term are showing as below:

BOM:543066' s Beneish M-Score Range Over the Past 10 Years
Min: -2.39   Med: -1.54   Max: -1.16
Current: -1.53

During the past 8 years, the highest Beneish M-Score of SBI Cards and Payment Services was -1.16. The lowest was -2.39. And the median was -1.54.


SBI Cards and Payment Services 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 SBI Cards and Payment Services 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 * 1.0024+0.892 * 1.1757+0.115 * 0.8565
-0.172 * SGAI+4.679 * TATA-0.327 * LVGI
-0.172 * 0+4.679 * 0.135108-0.327 * 0.9905
=-1.53

* 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 ₹132,461 Mil.
Gross Profit was ₹132,461 Mil.
Total Current Assets was ₹0 Mil.
Total Assets was ₹581,712 Mil.
Property, Plant and Equipment(Net PPE) was ₹4,384 Mil.
Depreciation, Depletion and Amortization(DDA) was ₹1,968 Mil.
Selling, General, & Admin. Expense(SGA) was ₹0 Mil.
Total Current Liabilities was ₹0 Mil.
Long-Term Debt & Capital Lease Obligation was ₹398,910 Mil.
Net Income was ₹24,079 Mil.
Gross Profit was ₹0 Mil.
Cash Flow from Operations was ₹-54,515 Mil.
Total Receivables was ₹0 Mil.
Revenue was ₹112,665 Mil.
Gross Profit was ₹112,665 Mil.
Total Current Assets was ₹0 Mil.
Total Assets was ₹455,456 Mil.
Property, Plant and Equipment(Net PPE) was ₹4,536 Mil.
Depreciation, Depletion and Amortization(DDA) was ₹1,638 Mil.
Selling, General, & Admin. Expense(SGA) was ₹25,869 Mil.
Total Current Liabilities was ₹0 Mil.
Long-Term Debt & Capital Lease Obligation was ₹315,311 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 / 132461.4) / (0 / 112665.4)
=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)
=(112665.4 / 112665.4) / (132461.4 / 132461.4)
=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 + 4384.1) / 581712.3) / (1 - (0 + 4536.1) / 455455.6)
=0.992463 / 0.990041
=1.0024

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
=132461.4 / 112665.4
=1.1757

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))
=(1638.1 / (1638.1 + 4536.1)) / (1967.5 / (1967.5 + 4384.1))
=0.265314 / 0.309764
=0.8565

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 / 132461.4) / (25869.4 / 112665.4)
=0 / 0.229613
=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)
=((398910.4 + 0) / 581712.3) / ((315310.9 + 0) / 455455.6)
=0.685752 / 0.692298
=0.9905

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
=(24078.8 - 0 - -54515.4) / 581712.3
=0.135108

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.

SBI Cards and Payment Services has a M-score of -1.53 signals that the company is likely to be a manipulator.


SBI Cards and Payment Services Beneish M-Score Related Terms

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SBI Cards and Payment Services (BOM:543066) Business Description

Traded in Other Exchanges
Address
DLF Cyber City, Block 2 Building 3, DLF Phase 2, 2nd Floor, Tower-B, Infinity Towers, Gurugram, HR, IND, 122 002
SBI Cards and Payment Services Ltd is a credit card issuer in India. The company offers a credit card portfolio to individual cardholders and corporate clients which includes lifestyle, rewards, travel and fuel, shopping, banking partnership cards, and corporate cards covering all cardholder segments in terms of income profiles and lifestyles. It offers four primary SBI Card-branded credit cards SimplySave, SimplyClick, Prime, and Elite, each catering to a varying set of cardholder needs. The Company earns revenue from selling credit card memberships to card holders, income earned from the provision of membership services.