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Bank of Montreal (TSX:BMO) Beneish M-Score : 16.70 (As of Mar. 31, 2025)


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What is Bank of Montreal 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 16.7 higher than -1.78, which implies that the company might have manipulated its financial results.

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

TSX:BMO' s Beneish M-Score Range Over the Past 10 Years
Min: -3.61   Med: -2.47   Max: 16.7
Current: 16.7

During the past 13 years, the highest Beneish M-Score of Bank of Montreal was 16.70. The lowest was -3.61. And the median was -2.47.


Bank of Montreal 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 Bank of Montreal 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 * 21.8059+0.528 * 1+0.404 * 1.0004+0.892 * 1.0597+0.115 * 1.0539
-0.172 * SGAI+4.679 * TATA-0.327 * LVGI
-0.172 * 0.9+4.679 * -0.005062-0.327 * 1.0498
=16.70

* 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 (Jan25) TTM:Last Year (Jan24) TTM:
Total Receivables was C$40,162 Mil.
Revenue was 9217 + 8318 + 8154 + 7921 = C$33,610 Mil.
Gross Profit was 9217 + 8318 + 8154 + 7921 = C$33,610 Mil.
Total Current Assets was C$0 Mil.
Total Assets was C$1,468,093 Mil.
Property, Plant and Equipment(Net PPE) was C$6,312 Mil.
Depreciation, Depletion and Amortization(DDA) was C$2,123 Mil.
Selling, General, & Admin. Expense(SGA) was C$12,057 Mil.
Total Current Liabilities was C$0 Mil.
Long-Term Debt & Capital Lease Obligation was C$162,479 Mil.
Net Income was 2134 + 2301 + 1865 + 1862 = C$8,162 Mil.
Non Operating Income was 0 + 0 + 0 + 0 = C$0 Mil.
Cash Flow from Operations was 4872 + 4707 + 2026 + 3988 = C$15,593 Mil.
Total Receivables was C$1,738 Mil.
Revenue was 7648 + 8281 + 8057 + 7730 = C$31,716 Mil.
Gross Profit was 7648 + 8281 + 8057 + 7730 = C$31,716 Mil.
Total Current Assets was C$0 Mil.
Total Assets was C$1,324,762 Mil.
Property, Plant and Equipment(Net PPE) was C$6,205 Mil.
Depreciation, Depletion and Amortization(DDA) was C$2,240 Mil.
Selling, General, & Admin. Expense(SGA) was C$12,642 Mil.
Total Current Liabilities was C$0 Mil.
Long-Term Debt & Capital Lease Obligation was C$139,655 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)
=(40162 / 33610) / (1738 / 31716)
=1.194942 / 0.054799
=21.8059

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)
=(31716 / 31716) / (33610 / 33610)
=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 + 6312) / 1468093) / (1 - (0 + 6205) / 1324762)
=0.995701 / 0.995316
=1.0004

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
=33610 / 31716
=1.0597

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))
=(2240 / (2240 + 6205)) / (2123 / (2123 + 6312))
=0.265246 / 0.251689
=1.0539

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)
=(12057 / 33610) / (12642 / 31716)
=0.358733 / 0.3986
=0.9

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)
=((162479 + 0) / 1468093) / ((139655 + 0) / 1324762)
=0.110674 / 0.105419
=1.0498

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
=(8162 - 0 - 15593) / 1468093
=-0.005062

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.

Bank of Montreal has a M-score of 16.70 signals that the company is likely to be a manipulator.


Bank of Montreal Beneish M-Score Related Terms

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Bank of Montreal Business Description

Address
129 rue Saint Jacques, Montreal, QC, CAN, H2Y 1L6
Bank of Montreal is a diversified financial-services provider based in North America, operating four business segments: Canadian personal and commercial banking, US P&C banking, wealth management, and capital markets. The bank's operations are primarily in Canada, with a material portion also in the US.
Executives
William Darryl White Director or Senior Officer of Insider or Subsidiary (other than in 4,5,6), Senior Officer
David Robert Casper Senior Officer
Nadim Hirji Senior Officer
Linda Susan Huber Director
Martin Stewart Eichenbaum Director
Mona Elizabeth Malone Senior Officer
Joanna Michelle Rotenberg Senior Officer
Cameron Mcaskile Fowler Senior Officer
Patrick Cronin Senior Officer
Ron Farmer Director
George Cope Director
Don Matthew Wilson Iii Director
Richard D. Rudderham Senior Officer
Philip Orsino Director
Simon Adrian Fish Senior Officer