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BAFN (BayFirst Financial) Beneish M-Score : -4.06 (As of Jan. 18, 2025)


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What is BayFirst Financial 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 -4.06 no higher than -1.78, which implies that the company is unlikely to be a manipulator.

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

BAFN' s Beneish M-Score Range Over the Past 10 Years
Min: -7.37   Med: -3.72   Max: -0.25
Current: -4.06

During the past 13 years, the highest Beneish M-Score of BayFirst Financial was -0.25. The lowest was -7.37. And the median was -3.72.


BayFirst Financial 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 BayFirst Financial 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 * 1.1274+0.528 * 1+0.404 * 1.0032+0.892 * 1.0964+0.115 * 0.8089
-0.172 * SGAI+4.679 * TATA-0.327 * LVGI
-0.172 * 0.9572+4.679 * -0.333983-0.327 * 1.6395
=-4.06

* 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 (Sep24) TTM:Last Year (Sep23) TTM:
Total Receivables was $8.54 Mil.
Revenue was 19.765 + 18.877 + 21.291 + 20.84 = $80.77 Mil.
Gross Profit was 19.765 + 18.877 + 21.291 + 20.84 = $80.77 Mil.
Total Current Assets was $0.00 Mil.
Total Assets was $1,245.10 Mil.
Property, Plant and Equipment(Net PPE) was $40.75 Mil.
Depreciation, Depletion and Amortization(DDA) was $8.16 Mil.
Selling, General, & Admin. Expense(SGA) was $41.29 Mil.
Total Current Liabilities was $0.00 Mil.
Long-Term Debt & Capital Lease Obligation was $20.27 Mil.
Net Income was 1.137 + 0.866 + 0.824 + 1.655 = $4.48 Mil.
Non Operating Income was 0 + 0 + 0 + 0 = $0.00 Mil.
Cash Flow from Operations was 90.784 + 78.753 + 123.535 + 127.252 = $420.32 Mil.
Total Receivables was $6.91 Mil.
Revenue was 21.091 + 19.824 + 17.006 + 15.753 = $73.67 Mil.
Gross Profit was 21.091 + 19.824 + 17.006 + 15.753 = $73.67 Mil.
Total Current Assets was $0.00 Mil.
Total Assets was $1,133.98 Mil.
Property, Plant and Equipment(Net PPE) was $40.59 Mil.
Depreciation, Depletion and Amortization(DDA) was $6.33 Mil.
Selling, General, & Admin. Expense(SGA) was $39.35 Mil.
Total Current Liabilities was $0.00 Mil.
Long-Term Debt & Capital Lease Obligation was $11.26 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)
=(8.537 / 80.773) / (6.907 / 73.674)
=0.105691 / 0.093751
=1.1274

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)
=(73.674 / 73.674) / (80.773 / 80.773)
=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 + 40.754) / 1245.099) / (1 - (0 + 40.586) / 1133.979)
=0.967268 / 0.964209
=1.0032

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
=80.773 / 73.674
=1.0964

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))
=(6.334 / (6.334 + 40.586)) / (8.164 / (8.164 + 40.754))
=0.134996 / 0.166892
=0.8089

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)
=(41.291 / 80.773) / (39.348 / 73.674)
=0.511198 / 0.534083
=0.9572

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)
=((20.273 + 0) / 1245.099) / ((11.262 + 0) / 1133.979)
=0.016282 / 0.009931
=1.6395

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
=(4.482 - 0 - 420.324) / 1245.099
=-0.333983

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.

BayFirst Financial has a M-score of -4.06 suggests that the company is unlikely to be a manipulator.


BayFirst Financial Beneish M-Score Related Terms

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BayFirst Financial Business Description

Traded in Other Exchanges
N/A
Address
700 Central Avenue, Suite 100, Saint Petersburg, FL, USA, 33701
BayFirst Financial Corp is a one bank holding company, it generates its revenue from interest on loans and the gain-on-sale income derived from the sale of loans into the secondary market. The company serves a broad spectrum of individuals, families, and small businesses, supported by national business lines in residential and SBA lending and technology platforms. The primary source of funding for its loans is deposits. BayFirst measures performance through net interest income after provision for loan losses, return on average assets, and return on average common equity, while maintaining appropriate regulatory leverage and risk-based capital ratios.
Executives
Rhonda S Tudor officer: SVP, Chief Accounting Officer 1032 STONEY CREEK LN., MOUNT PLEASANT MI 48858
Scott Joseph Mckim officer: EVP, Chief Financial Officer 700 CENTRAL AVE, ST PETERSBURG FL 33701
Robin Leigh Oliver officer: Chief Financial Officer 700 CENTRAL AVE, ST PETERSBURG FL 33701
Thomas Gerard Zernick officer: Executive Vice President 700 CENTRAL AVE, ST PETERSBURG FL 33701
Anthony N Leo director, officer: Chief Executive Officer 700 CENTRAL AVE, SAINT PETERSBURG FL 33701
Anthony Saravanos director 3802 COCONUT PALM DRIVE, TAMPA FL 33619
Sheryl Wudunn director 700 CENTRAL AVE, ST PETERSBURG FL 33701
Tarek Helal director 700 CENTRAL AVE, ST PETERSBURG FL 33701
Harold Jack Winner director 700 CENTRAL AVE, ST PETERSBURG FL 33701
Derek Steven Berset director 700 CENTRAL AVE, ST PETERSBURG FL 33701
Bradly William Spoor director 700 CENTRAL AVE, ST PETERSBURG FL 33701
Matthew Mann Luckey officer: Executive Vice President 700 CENTRAL AVE, ST PETERSBURG FL 33701
Brandi Nicole Jaber officer: Executive Vice President 700 CENTRAL AVE, ST PETERSBURG FL 33701
Christos Politis director 700 CENTRAL AVE, ST PETERSBURG FL 33701
Alexander Octavius Harris director 700 CENTRAL AVE, ST PETERSBURG FL 33701