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State Street (FRA:ZYA) Beneish M-Score : -2.14 (As of Apr. 29, 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 -2.14 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: -3.11   Med: -2.5   Max: 1.83
Current: -2.14

During the past 13 years, the highest Beneish M-Score of State Street was 1.83. The lowest was -3.11. And the median was -2.50.


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 * 1.3041+0.528 * 1+0.404 * 1.2596+0.892 * 0.9603+0.115 * 1.3384
-0.172 * SGAI+4.679 * TATA-0.327 * LVGI
-0.172 * 1.0685+4.679 * 0.004482-0.327 * 1.2702
=-2.17

* 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 (Dec23) TTM:Last Year (Dec22) TTM:
Total Receivables was €5,268 Mil.
Revenue was 2790.431 + 2521.467 + 2870.53 + 2896.334 = €11,079 Mil.
Gross Profit was 2790.431 + 2521.467 + 2870.53 + 2896.334 = €11,079 Mil.
Total Current Assets was €101,108 Mil.
Total Assets was €272,586 Mil.
Property, Plant and Equipment(Net PPE) was €2,938 Mil.
Depreciation, Depletion and Amortization(DDA) was €819 Mil.
Selling, General, & Admin. Expense(SGA) was €4,365 Mil.
Total Current Liabilities was €31,138 Mil.
Long-Term Debt & Capital Lease Obligation was €14,367 Mil.
Net Income was 192.57 + 395.414 + 704.249 + 512.766 = €1,805 Mil.
Non Operating Income was 0 + 0 + 0 + 0 = €0 Mil.
Cash Flow from Operations was 3834.894 + 208.014 + -786.396 + -2673.108 = €583 Mil.
Total Receivables was €4,206 Mil.
Revenue was 2956.608 + 2988.59 + 2793.538 + 2797.548 = €11,536 Mil.
Gross Profit was 2956.608 + 2988.59 + 2793.538 + 2797.548 = €11,536 Mil.
Total Current Assets was €142,223 Mil.
Total Assets was €284,569 Mil.
Property, Plant and Equipment(Net PPE) was €2,657 Mil.
Depreciation, Depletion and Amortization(DDA) was €1,094 Mil.
Selling, General, & Admin. Expense(SGA) was €4,254 Mil.
Total Current Liabilities was €25,281 Mil.
Long-Term Debt & Capital Lease Obligation was €12,118 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)
=(5268.165 / 11078.762) / (4206.464 / 11536.284)
=0.475519 / 0.364629
=1.3041

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)
=(11536.284 / 11536.284) / (11078.762 / 11078.762)
=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 - (101107.503 + 2938.068) / 272585.586) / (1 - (142223.04 + 2657.36) / 284568.8)
=0.618301 / 0.490877
=1.2596

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
=11078.762 / 11536.284
=0.9603

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))
=(1094.148 / (1094.148 + 2657.36)) / (818.603 / (818.603 + 2938.068))
=0.291656 / 0.217906
=1.3384

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)
=(4365.241 / 11078.762) / (4254.008 / 11536.284)
=0.394019 / 0.36875
=1.0685

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)
=((14366.639 + 31137.652) / 272585.586) / ((12118.128 + 25281.264) / 284568.8)
=0.166936 / 0.131425
=1.2702

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
=(1804.999 - 0 - 583.404) / 272585.586
=0.004482

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 -2.17 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.