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CFR (Cullen/Frost Bankers) Beneish M-Score : -2.37 (As of Jul. 21, 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 -2.37 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:

CFR' s Beneish M-Score Range Over the Past 10 Years
Min: -2.55   Med: -2.42   Max: -2.15
Current: -2.37

During the past 13 years, the highest Beneish M-Score of Cullen/Frost Bankers was -2.15. The lowest was -2.55. And the median was -2.42.


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 * 1+0.892 * 1.0599+0.115 * 0.9746
-0.172 * SGAI+4.679 * TATA-0.327 * LVGI
-0.172 * 0.9754+4.679 * 0.007553-0.327 * 0.9529
=-2.37

* 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 (Mar25) TTM:Last Year (Mar24) TTM:
Total Receivables was $0 Mil.
Revenue was 540.231 + 536.342 + 518.038 + 507.902 = $2,103 Mil.
Gross Profit was 540.231 + 536.342 + 518.038 + 507.902 = $2,103 Mil.
Total Current Assets was $0 Mil.
Total Assets was $52,005 Mil.
Property, Plant and Equipment(Net PPE) was $1,273 Mil.
Depreciation, Depletion and Amortization(DDA) was $84 Mil.
Selling, General, & Admin. Expense(SGA) was $844 Mil.
Total Current Liabilities was $0 Mil.
Long-Term Debt & Capital Lease Obligation was $223 Mil.
Net Income was 150.922 + 154.852 + 146.501 + 145.499 = $598 Mil.
Non Operating Income was 0 + 0 + 0 + 0 = $0 Mil.
Cash Flow from Operations was -296.111 + 64.302 + 307.217 + 129.579 = $205 Mil.
Total Receivables was $0 Mil.
Revenue was 501.428 + 502.055 + 491.381 + 488.794 = $1,984 Mil.
Gross Profit was 501.428 + 502.055 + 491.381 + 488.794 = $1,984 Mil.
Total Current Assets was $0 Mil.
Total Assets was $49,505 Mil.
Property, Plant and Equipment(Net PPE) was $1,211 Mil.
Depreciation, Depletion and Amortization(DDA) was $78 Mil.
Selling, General, & Admin. Expense(SGA) was $816 Mil.
Total Current Liabilities was $0 Mil.
Long-Term Debt & Capital Lease Obligation was $223 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 / 2102.513) / (0 / 1983.658)
=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)
=(1983.658 / 1983.658) / (2102.513 / 2102.513)
=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 + 1272.564) / 52004.742) / (1 - (0 + 1210.897) / 49505.424)
=0.97553 / 0.97554
=1

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
=2102.513 / 1983.658
=1.0599

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))
=(78.206 / (78.206 + 1210.897)) / (84.475 / (84.475 + 1272.564))
=0.060667 / 0.06225
=0.9746

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)
=(844.016 / 2102.513) / (816.403 / 1983.658)
=0.401432 / 0.411564
=0.9754

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)
=((222.886 + 0) / 52004.742) / ((222.671 + 0) / 49505.424)
=0.004286 / 0.004498
=0.9529

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
=(597.774 - 0 - 204.987) / 52004.742
=0.007553

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 -2.37 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.
Executives
Paul Bracher officer: President 100 WEST HOUSTON STREET, SAN ANTONIO TX 78205
Phillip D Green officer: Group EVP / CFO 100 WEST HOUSTON ST, SAN ANTONIO TX 78205
Howard L. Kasanoff officer: GEVP Chief Credit Officer 111 WEST HOUSTON STREET, SUITE 100, SAN ANTONIO TX 78205
Bobby Berman officer: Group Executive Vice President 100 WEST HOUSTON STREET, SAN ANTONIO TX 78205
Candace K Wolfshohl officer: Group Executive Vice President 100 WEST HOUSTON STREET, SAN ANTONIO TX 78205
Patrick B Frost director, other: Member Executive Committee 100 WEST HOUSTON ST, SAN ANTONIO TX 78205
Howard Willome John director 111 WEST HOUSTON STREET, SUITE 100, SAN ANTONIO TX 78205
Chris Avery director 510 POST OAK ROAD, FREDERICKSBURG TX 78624
Carol Jean Severyn officer: GEVP and Chief Risk Officer 100 WEST HOUSTON STREET, SAN ANTONIO TX 78205
Joseph A. Pierce director 111 WEST HOUSTON STREET, SUITE 100, SAN ANTONIO TX 78205
William L Perotti officer: Group Executive Vice President 100 WEST HOUSTON STREET, SAN ANTONIO TX 78205
Jerry Salinas officer: Chief Financial Officer 100 WEST HOUSTON STREET, SAN ANTONIO TX 78205
Anthony R Chase director 10307 PACIFIC CENTER COURT, SAN DIEGO CA 92121
Linda B. Rutherford director 2702 LOVE FIELD DRIVE, HDQ 4GC, DALLAS TX 75235
Annette M Alonzo officer: Group Executive Vice President 100 WEST HOUSTON STREET, SAN ANTONIO TX 78205