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State Street (FRA:ZYA) Beneish M-Score : -2.37 (As of May. 07, 2024)


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What is State Street 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 State Street's Beneish M-Score or its related term are showing as below:

FRA:ZYA' s Beneish M-Score Range Over the Past 10 Years
Min: -3.35   Med: -2.42   Max: 1.83
Current: -2.37

During the past 13 years, the highest Beneish M-Score of State Street was 1.83. The lowest was -3.35. And the median was -2.42.


State Street 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 State Street 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 * 1.1375+0.528 * 1+0.404 * 0.9999+0.892 * 0.9514+0.115 * 1.409
-0.172 * SGAI+4.679 * TATA-0.327 * LVGI
-0.172 * 1.0428+4.679 * -0.00245-0.327 * 1.042
=-2.38

* 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 (Mar24) TTM:Last Year (Mar23) TTM:
Total Receivables was €4,877 Mil.
Revenue was 2886.96 + 2790.431 + 2521.467 + 2870.53 = €11,069 Mil.
Gross Profit was 2886.96 + 2790.431 + 2521.467 + 2870.53 = €11,069 Mil.
Total Current Assets was €0 Mil.
Total Assets was €310,963 Mil.
Property, Plant and Equipment(Net PPE) was €3,045 Mil.
Depreciation, Depletion and Amortization(DDA) was €769 Mil.
Selling, General, & Admin. Expense(SGA) was €4,312 Mil.
Total Current Liabilities was €0 Mil.
Long-Term Debt & Capital Lease Obligation was €18,166 Mil.
Net Income was 425.96 + 192.57 + 395.414 + 704.249 = €1,718 Mil.
Non Operating Income was 0 + 0 + 0 + 0 = €0 Mil.
Cash Flow from Operations was -776.48 + 3834.894 + 208.014 + -786.396 = €2,480 Mil.
Total Receivables was €4,507 Mil.
Revenue was 2896.334 + 2956.608 + 2988.59 + 2793.538 = €11,635 Mil.
Gross Profit was 2896.334 + 2956.608 + 2988.59 + 2793.538 = €11,635 Mil.
Total Current Assets was €0 Mil.
Total Assets was €271,622 Mil.
Property, Plant and Equipment(Net PPE) was €2,629 Mil.
Depreciation, Depletion and Amortization(DDA) was €1,044 Mil.
Selling, General, & Admin. Expense(SGA) was €4,346 Mil.
Total Current Liabilities was €0 Mil.
Long-Term Debt & Capital Lease Obligation was €15,229 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)
=(4876.92 / 11069.388) / (4506.55 / 11635.07)
=0.440577 / 0.387325
=1.1375

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)
=(11635.07 / 11635.07) / (11069.388 / 11069.388)
=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 + 3045.2) / 310962.76) / (1 - (0 + 2629.21) / 271622.144)
=0.990207 / 0.99032
=0.9999

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
=11069.388 / 11635.07
=0.9514

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))
=(1043.858 / (1043.858 + 2629.21)) / (769.369 / (769.369 + 3045.2))
=0.284192 / 0.201692
=1.409

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)
=(4311.871 / 11069.388) / (4346.31 / 11635.07)
=0.389531 / 0.373553
=1.0428

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)
=((18166.32 + 0) / 310962.76) / ((15228.87 + 0) / 271622.144)
=0.05842 / 0.056066
=1.042

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
=(1718.193 - 0 - 2480.032) / 310962.76
=-0.00245

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.

State Street has a M-score of -2.38 suggests that the company is unlikely to be a manipulator.


State Street Beneish M-Score Related Terms

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State Street (FRA:ZYA) Business Description

Address
One Lincoln Street, Boston, MA, USA, 02111
State Street is a leading provider of financial services, including investment servicing, investment management, and investment research and trading. With approximately $42 trillion in assets under custody and administration and $4.1 trillion assets under management as of Dec. 31, 2023, State Street operates globally in more than 100 geographic markets and employs more than 46,000 worldwide.