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Bank of Montreal (FRA:BZZ) Beneish M-Score : -2.48 (As of May. 06, 2024)


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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.

Good Sign:

Beneish M-Score -2.48 no higher than -1.78, which implies that the company is unlikely to be a manipulator.

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

FRA:BZZ' s Beneish M-Score Range Over the Past 10 Years
Min: -4.41   Med: -2.53   Max: -1.86
Current: -2.48

During the past 13 years, the highest Beneish M-Score of Bank of Montreal was -1.86. The lowest was -4.41. And the median was -2.53.


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 * 0.8213+0.528 * 1+0.404 * 1.0288+0.892 * 1.1533+0.115 * 0.921
-0.172 * SGAI+4.679 * TATA-0.327 * LVGI
-0.172 * 1.2334+4.679 * -0.002245-0.327 * 0.8455
=-2.51

* 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 (Jan24) TTM:Last Year (Jan23) TTM:
Total Receivables was €1,189 Mil.
Revenue was 5230.473 + 5747.472 + 5429.064 + 5668.549 = €22,076 Mil.
Gross Profit was 5230.473 + 5747.472 + 5429.064 + 5668.549 = €22,076 Mil.
Total Current Assets was €102,649 Mil.
Total Assets was €906,006 Mil.
Property, Plant and Equipment(Net PPE) was €4,244 Mil.
Depreciation, Depletion and Amortization(DDA) was €1,536 Mil.
Selling, General, & Admin. Expense(SGA) was €9,180 Mil.
Total Current Liabilities was €70,518 Mil.
Long-Term Debt & Capital Lease Obligation was €95,510 Mil.
Net Income was 882.232 + 1111.924 + 993.572 + 714.233 = €3,702 Mil.
Non Operating Income was 0 + 0 + 0 + 0 = €0 Mil.
Cash Flow from Operations was 12521.539 + 2458.664 + 7306.723 + -16551.136 = €5,736 Mil.
Total Receivables was €1,255 Mil.
Revenue was 4872.311 + 4808.441 + 5277.47 + 4183.426 = €19,142 Mil.
Gross Profit was 4872.311 + 4808.441 + 5277.47 + 4183.426 = €19,142 Mil.
Total Current Assets was €109,658 Mil.
Total Assets was €792,144 Mil.
Property, Plant and Equipment(Net PPE) was €3,364 Mil.
Depreciation, Depletion and Amortization(DDA) was €1,090 Mil.
Selling, General, & Admin. Expense(SGA) was €6,453 Mil.
Total Current Liabilities was €76,586 Mil.
Long-Term Debt & Capital Lease Obligation was €95,099 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)
=(1188.62 / 22075.558) / (1254.895 / 19141.648)
=0.053843 / 0.065558
=0.8213

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)
=(19141.648 / 19141.648) / (22075.558 / 22075.558)
=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 - (102648.718 + 4243.604) / 906005.748) / (1 - (109657.768 + 3363.672) / 792143.621)
=0.882018 / 0.857322
=1.0288

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
=22075.558 / 19141.648
=1.1533

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))
=(1090.115 / (1090.115 + 3363.672)) / (1535.994 / (1535.994 + 4243.604))
=0.244761 / 0.265761
=0.921

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)
=(9180.017 / 22075.558) / (6453.449 / 19141.648)
=0.415845 / 0.337142
=1.2334

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)
=((95510.162 + 70517.692) / 906005.748) / ((95098.912 + 76585.927) / 792143.621)
=0.183253 / 0.216734
=0.8455

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
=(3701.961 - 0 - 5735.79) / 906005.748
=-0.002245

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 -2.51 suggests that the company is unlikely to be a manipulator.


Bank of Montreal Beneish M-Score Related Terms

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Bank of Montreal (FRA:BZZ) 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, U.S. P&C banking, wealth management, and capital markets. The bank's operations are primarily in Canada, with a material portion also in the U.S.