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CFRPB.PFD (Cullen/Frost Bankers) Beneish M-Score : -2.48 (As of Mar. 16, 2025)


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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 -2.48 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:

CFRpB.PFD' s Beneish M-Score Range Over the Past 10 Years
Min: -3.26   Med: -2.43   Max: -1.87
Current: -2.48

During the past 13 years, the highest Beneish M-Score of Cullen/Frost Bankers was -1.87. The lowest was -3.26. And the median was -2.43.


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 * 1+0.528 * 1+0.404 * 0.9997+0.892 * 1.0384+0.115 * 0.968
-0.172 * SGAI+4.679 * TATA-0.327 * LVGI
-0.172 * 1.0171+4.679 * -0.007749-0.327 * 0.9692
=-2.48

* 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 $0.00 Mil.
Revenue was 536.342 + 518.038 + 507.902 + 501.428 = $2,063.71 Mil.
Gross Profit was 536.342 + 518.038 + 507.902 + 501.428 = $2,063.71 Mil.
Total Current Assets was $0.00 Mil.
Total Assets was $52,520.26 Mil.
Property, Plant and Equipment(Net PPE) was $1,245.38 Mil.
Depreciation, Depletion and Amortization(DDA) was $82.82 Mil.
Selling, General, & Admin. Expense(SGA) was $832.51 Mil.
Total Current Liabilities was $0.00 Mil.
Long-Term Debt & Capital Lease Obligation was $222.83 Mil.
Net Income was 154.852 + 146.501 + 145.499 + 135.69 = $582.54 Mil.
Non Operating Income was 0 + 0 + 0 + 0 = $0.00 Mil.
Cash Flow from Operations was 64.302 + 307.217 + 129.579 + 488.434 = $989.53 Mil.
Total Receivables was $0.00 Mil.
Revenue was 502.055 + 491.381 + 488.794 + 505.085 = $1,987.32 Mil.
Gross Profit was 502.055 + 491.381 + 488.794 + 505.085 = $1,987.32 Mil.
Total Current Assets was $0.00 Mil.
Total Assets was $50,845.04 Mil.
Property, Plant and Equipment(Net PPE) was $1,190.03 Mil.
Depreciation, Depletion and Amortization(DDA) was $76.44 Mil.
Selling, General, & Admin. Expense(SGA) was $788.22 Mil.
Total Current Liabilities was $0.00 Mil.
Long-Term Debt & Capital Lease Obligation was $222.62 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 / 2063.71) / (0 / 1987.315)
=0 / 0
=1

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)
=(1987.315 / 1987.315) / (2063.71 / 2063.71)
=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 + 1245.377) / 52520.259) / (1 - (0 + 1190.033) / 50845.038)
=0.976288 / 0.976595
=0.9997

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
=2063.71 / 1987.315
=1.0384

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))
=(76.442 / (76.442 + 1190.033)) / (82.817 / (82.817 + 1245.377))
=0.060358 / 0.062353
=0.968

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)
=(832.512 / 2063.71) / (788.221 / 1987.315)
=0.403406 / 0.396626
=1.0171

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)
=((222.832 + 0) / 52520.259) / ((222.618 + 0) / 50845.038)
=0.004243 / 0.004378
=0.9692

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
=(582.542 - 0 - 989.532) / 52520.259
=-0.007749

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 -2.48 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 Business Description

Traded in Other Exchanges
Address
111 W. Houston Street, San Antonio, TX, USA, 78205
Cullen/Frost is a regional us bank with around $50 billion in assets (as of 2024 year-end), and it focuses exclusively on the Texas market. The bank has deep expertise in this market. It has implemented a relationship-based approach to banking that has garnered a strong market share in San Antonio. Cullen/Frost is also expanding into Houston, Dallas, and Austin market regions through branch openings. The bank's sweet spot is small to medium-size Texas-based commercial clients.