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Morgan Stanley (BSP:MSBR34) Beneish M-Score : -2.37 (As of Apr. 09, 2025)


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What is Morgan Stanley 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 -2.37 no higher than -1.78, which implies that the company is unlikely to be a manipulator.

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

BSP:MSBR34' s Beneish M-Score Range Over the Past 10 Years
Min: -2.61   Med: -2.49   Max: -1.67
Current: -2.37

During the past 13 years, the highest Beneish M-Score of Morgan Stanley was -1.67. The lowest was -2.61. And the median was -2.49.


Morgan Stanley 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 Morgan Stanley 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 * 1.0645+0.528 * 1+0.404 * 1+0.892 * 1.2581+0.115 * 0.9995
-0.172 * SGAI+4.679 * TATA-0.327 * LVGI
-0.172 * 0.9484+4.679 * 0.008431-0.327 * 1.0607
=-2.16

* 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 (Dec24) TTM:Last Year (Dec23) TTM:
Total Receivables was R$525,650 Mil.
Revenue was 91777.343 + 79406.514 + 75534.666 + 70787.857 = R$317,506 Mil.
Gross Profit was 91777.343 + 79406.514 + 75534.666 + 70787.857 = R$317,506 Mil.
Total Current Assets was R$0 Mil.
Total Assets was R$7,413,148 Mil.
Property, Plant and Equipment(Net PPE) was R$140 Mil.
Depreciation, Depletion and Amortization(DDA) was R$28,770 Mil.
Selling, General, & Admin. Expense(SGA) was R$149,137 Mil.
Total Current Liabilities was R$0 Mil.
Long-Term Debt & Capital Lease Obligation was R$1,761,822 Mil.
Net Income was 22659.114 + 17654.506 + 16567.644 + 16991.078 = R$73,872 Mil.
Non Operating Income was 0 + 0 + 0 + 0 = R$0 Mil.
Cash Flow from Operations was 71991.8 + -95931.309 + 13599.903 + 21711.928 = R$11,372 Mil.
Total Receivables was R$392,498 Mil.
Revenue was 58949.494 + 61328.777 + 61069.253 + 71024.47 = R$252,372 Mil.
Gross Profit was 58949.494 + 61328.777 + 61069.253 + 71024.47 = R$252,372 Mil.
Total Current Assets was R$0 Mil.
Total Assets was R$5,848,857 Mil.
Property, Plant and Equipment(Net PPE) was R$113 Mil.
Depreciation, Depletion and Amortization(DDA) was R$21,140 Mil.
Selling, General, & Admin. Expense(SGA) was R$124,994 Mil.
Total Current Liabilities was R$0 Mil.
Long-Term Debt & Capital Lease Obligation was R$1,310,535 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)
=(525649.958 / 317506.38) / (392498.479 / 252371.994)
=1.655557 / 1.555238
=1.0645

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)
=(252371.994 / 252371.994) / (317506.38 / 317506.38)
=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 + 140.323) / 7413148.173) / (1 - (0 + 112.695) / 5848856.96)
=0.999981 / 0.999981
=1

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
=317506.38 / 252371.994
=1.2581

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))
=(21139.75 / (21139.75 + 112.695)) / (28770.189 / (28770.189 + 140.323))
=0.994697 / 0.995146
=0.9995

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)
=(149137.001 / 317506.38) / (124994.105 / 252371.994)
=0.469713 / 0.495277
=0.9484

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)
=((1761822.376 + 0) / 7413148.173) / ((1310534.806 + 0) / 5848856.96)
=0.237662 / 0.224067
=1.0607

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
=(73872.342 - 0 - 11372.322) / 7413148.173
=0.008431

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.

Morgan Stanley has a M-score of -2.16 suggests that the company is unlikely to be a manipulator.


Morgan Stanley Beneish M-Score Related Terms

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Morgan Stanley Business Description

Address
1585 Broadway, New York, NY, USA, 10036
Morgan Stanley is a global investment bank whose history, through its legacy firms, can be traced back to 1924. The company has institutional securities, wealth management, and investment management segments with approximately 45% of net revenue from its institutional securities business, 45% from wealth management, and 10% from investment management. About 30% of its total revenue is from outside the Americas. The company had over $5 trillion of client assets as well as around 80,000 employees at the end of 2023.