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Cullen/Frost Bankers (FRA:CFZ) Beneish M-Score : -2.89 (As of Apr. 27, 2024)


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What is Cullen/Frost Bankers 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 -2.89 no higher than -1.78, which implies that the company is unlikely to be a manipulator.

The historical rank and industry rank for Cullen/Frost Bankers's Beneish M-Score or its related term are showing as below:

FRA:CFZ' s Beneish M-Score Range Over the Past 10 Years
Min: -2.89   Med: -2.4   Max: -1.89
Current: -2.89

During the past 13 years, the highest Beneish M-Score of Cullen/Frost Bankers was -1.89. The lowest was -2.89. And the median was -2.40.


Cullen/Frost Bankers 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 Cullen/Frost Bankers 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+0.528 * 1+0.404 * 1.1674+0.892 * 1.034+0.115 * 1.0102
-0.172 * SGAI+4.679 * TATA-0.327 * LVGI
-0.172 * 1.1407+4.679 * -0.00495-0.327 * 0.1775
=-3.08

* 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 €0 Mil.
Revenue was 461.314 + 460.245 + 460.464 + 451.157 = €1,833 Mil.
Gross Profit was 461.314 + 460.245 + 460.464 + 451.157 = €1,833 Mil.
Total Current Assets was €21,677 Mil.
Total Assets was €45,545 Mil.
Property, Plant and Equipment(Net PPE) was €1,114 Mil.
Depreciation, Depletion and Amortization(DDA) was €72 Mil.
Selling, General, & Admin. Expense(SGA) was €754 Mil.
Total Current Liabilities was €0 Mil.
Long-Term Debt & Capital Lease Obligation was €205 Mil.
Net Income was 124.835 + 94.039 + 145.845 + 149.635 = €514 Mil.
Non Operating Income was 0 + 0 + 0 + 0 = €0 Mil.
Cash Flow from Operations was 449.359 + -76.112 + 223.651 + 142.891 = €740 Mil.
Total Receivables was €925 Mil.
Revenue was 471.749 + 475.905 + 459.922 + 365.284 = €1,773 Mil.
Gross Profit was 471.749 + 475.905 + 459.922 + 365.284 = €1,773 Mil.
Total Current Assets was €26,324 Mil.
Total Assets was €47,863 Mil.
Property, Plant and Equipment(Net PPE) was €1,056 Mil.
Depreciation, Depletion and Amortization(DDA) was €69 Mil.
Selling, General, & Admin. Expense(SGA) was €639 Mil.
Total Current Liabilities was €1,005 Mil.
Long-Term Debt & Capital Lease Obligation was €208 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)
=(0 / 1833.18) / (925.404 / 1772.86)
=0 / 0.521984
=0

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)
=(1772.86 / 1772.86) / (1833.18 / 1833.18)
=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 - (21676.534 + 1114.025) / 45544.99) / (1 - (26324.37 + 1055.975) / 47863.445)
=0.499603 / 0.427949
=1.1674

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
=1833.18 / 1772.86
=1.034

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))
=(69.251 / (69.251 + 1055.975)) / (72.271 / (72.271 + 1114.025))
=0.061544 / 0.060922
=1.0102

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)
=(753.636 / 1833.18) / (638.929 / 1772.86)
=0.411109 / 0.360395
=1.1407

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)
=((204.857 + 0) / 45544.99) / ((207.775 + 1005.312) / 47863.445)
=0.004498 / 0.025345
=0.1775

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
=(514.354 - 0 - 739.789) / 45544.99
=-0.00495

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.

Cullen/Frost Bankers has a M-score of -3.08 suggests that the company is unlikely to be a manipulator.


Cullen/Frost Bankers Beneish M-Score Related Terms

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Cullen/Frost Bankers (FRA:CFZ) Business Description

Traded in Other Exchanges
Address
111 W. Houston Street, San Antonio, TX, USA, 78205
Cullen/Frost Bankers is a financial holding company, headquartered in San Antonio. One of the 50 largest U.S. banks, Frost provides a wide range of banking, investments, and insurance services to businesses and individuals across Texas in the Austin, Corpus Christi, Dallas, Fort Worth, Houston, Permian Basin, Rio Grande Valley, and San Antonio regions.