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Royal Bank of Canada (STU:RYC) Beneish M-Score : -2.40 (As of Dec. 13, 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:

STU:RYC' 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 * 0.971+0.528 * 1+0.404 * 1.0002+0.892 * 1.0984+0.115 * 0.9668
-0.172 * SGAI+4.679 * TATA-0.327 * LVGI
-0.172 * 1.0038+4.679 * -0.002994-0.327 * 0.9734
=-2.43

* 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 €21,946 Mil.
Revenue was 10051.489 + 9874.826 + 9528.565 + 9407.055 = €38,862 Mil.
Gross Profit was 10051.489 + 9874.826 + 9528.565 + 9407.055 = €38,862 Mil.
Total Current Assets was €0 Mil.
Total Assets was €1,449,089 Mil.
Property, Plant and Equipment(Net PPE) was €4,572 Mil.
Depreciation, Depletion and Amortization(DDA) was €2,015 Mil.
Selling, General, & Admin. Expense(SGA) was €14,254 Mil.
Total Current Liabilities was €0 Mil.
Long-Term Debt & Capital Lease Obligation was €225,670 Mil.
Net Income was 2815.325 + 3013.946 + 2690.9 + 2448.365 = €10,969 Mil.
Non Operating Income was 0 + 0 + 0 + 0 = €0 Mil.
Cash Flow from Operations was 11454.814 + 15610.265 + -10634.778 + -1123.649 = €15,307 Mil.
Total Receivables was €20,577 Mil.
Revenue was 8914.729 + 8842.244 + 8409.149 + 9215.008 = €35,381 Mil.
Gross Profit was 8914.729 + 8842.244 + 8409.149 + 9215.008 = €35,381 Mil.
Total Current Assets was €0 Mil.
Total Assets was €1,385,782 Mil.
Property, Plant and Equipment(Net PPE) was €4,661 Mil.
Depreciation, Depletion and Amortization(DDA) was €1,957 Mil.
Selling, General, & Admin. Expense(SGA) was €12,929 Mil.
Total Current Liabilities was €0 Mil.
Long-Term Debt & Capital Lease Obligation was €221,715 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)
=(21946.052 / 38861.935) / (20576.807 / 35381.13)
=0.564718 / 0.581576
=0.971

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)
=(35381.13 / 35381.13) / (38861.935 / 38861.935)
=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 + 4572.317) / 1449089.392) / (1 - (0 + 4661.102) / 1385782.422)
=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
=38861.935 / 35381.13
=1.0984

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))
=(1956.999 / (1956.999 + 4661.102)) / (2014.555 / (2014.555 + 4572.317))
=0.295704 / 0.305844
=0.9668

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)
=(14254.166 / 38861.935) / (12928.691 / 35381.13)
=0.36679 / 0.365412
=1.0038

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)
=((225669.717 + 0) / 1449089.392) / ((221714.856 + 0) / 1385782.422)
=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
=(10968.536 - 0 - 15306.652) / 1449089.392
=-0.002994

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 -2.43 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.