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Royal Bank of Canada (LTS:0QKU) Beneish M-Score : -2.40 (As of Dec. 11, 2024)


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What is Royal Bank of Canada 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 -2.4 no higher than -1.78, which implies that the company is unlikely to be a manipulator.

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

LTS:0QKU' s Beneish M-Score Range Over the Past 10 Years
Min: -2.82   Med: -2.43   Max: -1.96
Current: -2.4

During the past 13 years, the highest Beneish M-Score of Royal Bank of Canada was -1.96. The lowest was -2.82. And the median was -2.43.


Royal Bank of Canada 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 Royal Bank of Canada 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 * 1.0014+0.528 * 1+0.404 * 1.0002+0.892 * 1.0987+0.115 * 0.9878
-0.172 * SGAI+4.679 * TATA-0.327 * LVGI
-0.172 * 1.0037+4.679 * -0.003094-0.327 * 0.9734
=-2.40

* 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 (Oct24) TTM:Last Year (Oct23) TTM:
Total Receivables was $23,906 Mil.
Revenue was 10949.335 + 10710.223 + 10223.782 + 10247.337 = $42,131 Mil.
Gross Profit was 10949.335 + 10710.223 + 10223.782 + 10247.337 = $42,131 Mil.
Total Current Assets was $0 Mil.
Total Assets was $1,578,529 Mil.
Property, Plant and Equipment(Net PPE) was $4,981 Mil.
Depreciation, Depletion and Amortization(DDA) was $2,184 Mil.
Selling, General, & Admin. Expense(SGA) was $15,453 Mil.
Total Current Liabilities was $0 Mil.
Long-Term Debt & Capital Lease Obligation was $245,828 Mil.
Net Income was 3066.802 + 3268.922 + 2887.231 + 2667.064 = $11,890 Mil.
Non Operating Income was 0 + 0 + 0 + 0 = $0 Mil.
Cash Flow from Operations was 12478.011 + 16930.874 + -11410.706 + -1224.018 = $16,774 Mil.
Total Receivables was $21,728 Mil.
Revenue was 9413.652 + 9781.243 + 9220.558 + 9929.966 = $38,345 Mil.
Gross Profit was 9413.652 + 9781.243 + 9220.558 + 9929.966 = $38,345 Mil.
Total Current Assets was $0 Mil.
Total Assets was $1,463,339 Mil.
Property, Plant and Equipment(Net PPE) was $4,922 Mil.
Depreciation, Depletion and Amortization(DDA) was $2,121 Mil.
Selling, General, & Admin. Expense(SGA) was $14,014 Mil.
Total Current Liabilities was $0 Mil.
Long-Term Debt & Capital Lease Obligation was $234,123 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)
=(23906.375 / 42130.677) / (21728.413 / 38345.419)
=0.567434 / 0.56665
=1.0014

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)
=(38345.419 / 38345.419) / (42130.677 / 42130.677)
=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 + 4980.737) / 1578528.749) / (1 - (0 + 4921.966) / 1463339.411)
=0.996845 / 0.996636
=1.0002

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
=42130.677 / 38345.419
=1.0987

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))
=(2120.513 / (2120.513 + 4921.966)) / (2184.017 / (2184.017 + 4980.737))
=0.301103 / 0.304828
=0.9878

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)
=(15453.457 / 42130.677) / (14013.842 / 38345.419)
=0.366798 / 0.365463
=1.0037

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)
=((245827.579 + 0) / 1578528.749) / ((234123.396 + 0) / 1463339.411)
=0.155732 / 0.159993
=0.9734

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
=(11890.019 - 0 - 16774.161) / 1578528.749
=-0.003094

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.

Royal Bank of Canada has a M-score of -2.40 suggests that the company is unlikely to be a manipulator.


Royal Bank of Canada Beneish M-Score Related Terms

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Royal Bank of Canada Business Description

Address
1 Place Ville Marie, Corporate Secretary\'s Department, Montreal, QC, CAN, H3B 3A9
Royal Bank of Canada is one of the two largest banks in Canada. It is a diversified financial services company, offering personal and commercial banking, wealth-management services, insurance, corporate banking, and capital markets services. The bank is concentrated in Canada, with additional operations in the US and other countries.