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Charles Schwab (WBO:SCHW) Beneish M-Score : -2.66 (As of May. 03, 2024)


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What is Charles Schwab 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 -2.66 no higher than -1.78, which implies that the company is unlikely to be a manipulator.

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

WBO:SCHW' s Beneish M-Score Range Over the Past 10 Years
Min: -2.66   Med: -2.34   Max: -1.29
Current: -2.66

During the past 13 years, the highest Beneish M-Score of Charles Schwab was -1.29. The lowest was -2.66. And the median was -2.34.


Charles Schwab 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 Charles Schwab 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 * 1.1365+0.528 * 1+0.404 * 1.0339+0.892 * 0.8827+0.115 * 0.8999
-0.172 * SGAI+4.679 * TATA-0.327 * LVGI
-0.172 * 1.1704+4.679 * -0.029391-0.327 * 1.1895
=-2.69

* 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 €67,462 Mil.
Revenue was 4088.903 + 4315.822 + 4297.488 + 4778.344 = €17,481 Mil.
Gross Profit was 4088.903 + 4315.822 + 4297.488 + 4778.344 = €17,481 Mil.
Total Current Assets was €204,324 Mil.
Total Assets was €452,244 Mil.
Property, Plant and Equipment(Net PPE) was €3,961 Mil.
Depreciation, Depletion and Amortization(DDA) was €1,241 Mil.
Selling, General, & Admin. Expense(SGA) was €6,445 Mil.
Total Current Liabilities was €107,967 Mil.
Long-Term Debt & Capital Lease Obligation was €23,959 Mil.
Net Income was 958.265 + 1054.125 + 1194.362 + 1497.202 = €4,704 Mil.
Non Operating Income was 0 + 0 + 0 + 0 = €0 Mil.
Cash Flow from Operations was 18373.929 + -4695.307 + -4814.368 + 9131.718 = €17,996 Mil.
Total Receivables was €67,252 Mil.
Revenue was 5189.168 + 5555 + 4817.978 + 4242.176 = €19,804 Mil.
Gross Profit was 5189.168 + 5555 + 4817.978 + 4242.176 = €19,804 Mil.
Total Current Assets was €244,747 Mil.
Total Assets was €520,873 Mil.
Property, Plant and Equipment(Net PPE) was €4,350 Mil.
Depreciation, Depletion and Amortization(DDA) was €1,189 Mil.
Selling, General, & Admin. Expense(SGA) was €6,239 Mil.
Total Current Liabilities was €108,077 Mil.
Long-Term Debt & Capital Lease Obligation was €19,662 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)
=(67461.856 / 17480.557) / (67251.504 / 19804.322)
=3.859251 / 3.395799
=1.1365

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)
=(19804.322 / 19804.322) / (17480.557 / 17480.557)
=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 - (204324.106 + 3961.44) / 452244.226) / (1 - (244747.104 + 4349.952) / 520872.768)
=0.53944 / 0.52177
=1.0339

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
=17480.557 / 19804.322
=0.8827

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))
=(1188.848 / (1188.848 + 4349.952)) / (1240.86 / (1240.86 + 3961.44))
=0.21464 / 0.238521
=0.8999

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)
=(6445.178 / 17480.557) / (6238.64 / 19804.322)
=0.368706 / 0.315014
=1.1704

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)
=((23959.376 + 107966.663) / 452244.226) / ((19661.632 + 108076.672) / 520872.768)
=0.291714 / 0.245239
=1.1895

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
=(4703.954 - 0 - 17995.972) / 452244.226
=-0.029391

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.

Charles Schwab has a M-score of -2.69 suggests that the company is unlikely to be a manipulator.


Charles Schwab Beneish M-Score Related Terms

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Charles Schwab (WBO:SCHW) Business Description

Address
3000 Schwab Way, Westlake, TX, USA, 76262
Charles Schwab operates in brokerage, wealth management, banking, and asset-management businesses. The company runs a large network of brick-and-mortar brokerage branch offices, a well-established online investing website, and has mobile trading capabilities. It also operates a bank and a proprietary asset management business and offers services to independent investment advisors. The company is among the largest firms in the investment business, with over $7 trillion of client assets at the end of December 2022. Nearly all of its revenue is from the United States.