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Scotiabank PeruA (LIM:SCOTIAC1) Beneish M-Score : -2.58 (As of Mar. 26, 2025)


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What is Scotiabank PeruA 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 -2.58 no higher than -1.78, which implies that the company is unlikely to be a manipulator.

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

LIM:SCOTIAC1' s Beneish M-Score Range Over the Past 10 Years
Min: -2.89   Med: -2.39   Max: -1.97
Current: -2.58

During the past 13 years, the highest Beneish M-Score of Scotiabank PeruA was -1.97. The lowest was -2.89. And the median was -2.39.


Scotiabank PeruA 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 Scotiabank PeruA 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 * 1.0001+0.892 * 1.0536+0.115 * 1.2347
-0.172 * SGAI+4.679 * TATA-0.327 * LVGI
-0.172 * 0.9553+4.679 * -0.060766-0.327 * 0.6902
=-2.58

* 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 (Sep24) TTM:Last Year (Sep23) TTM:
Total Receivables was S/.0 Mil.
Revenue was 1275.432 + 1194.359 + 1207.915 + 1183.123 = S/.4,861 Mil.
Gross Profit was 1275.432 + 1194.359 + 1207.915 + 1183.123 = S/.4,861 Mil.
Total Current Assets was S/.0 Mil.
Total Assets was S/.73,265 Mil.
Property, Plant and Equipment(Net PPE) was S/.301 Mil.
Depreciation, Depletion and Amortization(DDA) was S/.77 Mil.
Selling, General, & Admin. Expense(SGA) was S/.835 Mil.
Total Current Liabilities was S/.0 Mil.
Long-Term Debt & Capital Lease Obligation was S/.7,693 Mil.
Net Income was 345.138 + -31.893 + 228.385 + 69.027 = S/.611 Mil.
Non Operating Income was 0 + 0 + 0 + 0 = S/.0 Mil.
Cash Flow from Operations was 786.425 + 1615.91 + -922.617 + 3582.957 = S/.5,063 Mil.
Total Receivables was S/.0 Mil.
Revenue was 1107.253 + 1160.869 + 1140.597 + 1205.01 = S/.4,614 Mil.
Gross Profit was 1107.253 + 1160.869 + 1140.597 + 1205.01 = S/.4,614 Mil.
Total Current Assets was S/.0 Mil.
Total Assets was S/.72,776 Mil.
Property, Plant and Equipment(Net PPE) was S/.309 Mil.
Depreciation, Depletion and Amortization(DDA) was S/.104 Mil.
Selling, General, & Admin. Expense(SGA) was S/.830 Mil.
Total Current Liabilities was S/.0 Mil.
Long-Term Debt & Capital Lease Obligation was S/.11,071 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 / 4860.829) / (0 / 4613.729)
=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)
=(4613.729 / 4613.729) / (4860.829 / 4860.829)
=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 + 300.877) / 73265.117) / (1 - (0 + 309.036) / 72776.491)
=0.995893 / 0.995754
=1.0001

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
=4860.829 / 4613.729
=1.0536

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))
=(104.329 / (104.329 + 309.036)) / (77.303 / (77.303 + 300.877))
=0.25239 / 0.204408
=1.2347

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)
=(835.248 / 4860.829) / (829.846 / 4613.729)
=0.171832 / 0.179864
=0.9553

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)
=((7692.559 + 0) / 73265.117) / ((11071.085 + 0) / 72776.491)
=0.104996 / 0.152124
=0.6902

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
=(610.657 - 0 - 5062.675) / 73265.117
=-0.060766

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.

Scotiabank PeruA has a M-score of -2.58 suggests that the company is unlikely to be a manipulator.


Scotiabank PeruA Beneish M-Score Related Terms

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Scotiabank PeruA Business Description

Traded in Other Exchanges
N/A
Address
Av. Dionisio Derteano No. 102, San Isidro, Lima, PER
Scotiabank Peru SAA provides personal and commercial banking across Peru. The bank also provides wealth management, private banking, corporate and investment banking, and capital markets services. Its products and services include saving and current accounts, money transfers, consumer and commercial loans, mortgages, fixed-term deposits, debit, and credit cards. It generates majority of its revenues through interest income.