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BCB Bancorp (BCB Bancorp) Beneish M-Score : -2.45 (As of May. 14, 2024)


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What is BCB Bancorp 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 -2.45 no higher than -1.78, which implies that the company is unlikely to be a manipulator.

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

BCBP' s Beneish M-Score Range Over the Past 10 Years
Min: -70.18   Med: -2.46   Max: -1.65
Current: -2.45

During the past 13 years, the highest Beneish M-Score of BCB Bancorp was -1.65. The lowest was -70.18. And the median was -2.46.


BCB Bancorp 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 BCB Bancorp 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 * 1.2874+0.528 * 1+0.404 * 1.0002+0.892 * 0.9206+0.115 * -0.5841
-0.172 * SGAI+4.679 * TATA-0.327 * LVGI
-0.172 * 1.1348+4.679 * 5.5E-5-0.327 * 0.8737
=-2.45

* 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 $17.4 Mil.
Revenue was 25.248 + 27.15 + 27.086 + 28.107 = $107.6 Mil.
Gross Profit was 25.248 + 27.15 + 27.086 + 28.107 = $107.6 Mil.
Total Current Assets was $0.0 Mil.
Total Assets was $3,849.2 Mil.
Property, Plant and Equipment(Net PPE) was $24.9 Mil.
Depreciation, Depletion and Amortization(DDA) was $-0.6 Mil.
Selling, General, & Admin. Expense(SGA) was $32.6 Mil.
Total Current Liabilities was $0.0 Mil.
Long-Term Debt & Capital Lease Obligation was $523.2 Mil.
Net Income was 5.866 + 6.062 + 6.711 + 8.604 = $27.2 Mil.
Non Operating Income was 0 + 0 + 0 + 0 = $0.0 Mil.
Cash Flow from Operations was 8.288 + 0.667 + 9.968 + 8.109 = $27.0 Mil.
Total Receivables was $14.7 Mil.
Revenue was 25.807 + 31.243 + 32.397 + 27.428 = $116.9 Mil.
Gross Profit was 25.807 + 31.243 + 32.397 + 27.428 = $116.9 Mil.
Total Current Assets was $0.0 Mil.
Total Assets was $3,763.1 Mil.
Property, Plant and Equipment(Net PPE) was $25.2 Mil.
Depreciation, Depletion and Amortization(DDA) was $0.4 Mil.
Selling, General, & Admin. Expense(SGA) was $31.2 Mil.
Total Current Liabilities was $0.0 Mil.
Long-Term Debt & Capital Lease Obligation was $585.4 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)
=(17.442 / 107.591) / (14.717 / 116.875)
=0.162114 / 0.125921
=1.2874

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)
=(116.875 / 116.875) / (107.591 / 107.591)
=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 + 24.93) / 3849.195) / (1 - (0 + 25.217) / 3763.056)
=0.993523 / 0.993299
=1.0002

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
=107.591 / 116.875
=0.9206

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))
=(0.389 / (0.389 + 25.217)) / (-0.632 / (-0.632 + 24.93))
=0.015192 / -0.02601
=-0.5841

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)
=(32.571 / 107.591) / (31.178 / 116.875)
=0.30273 / 0.266764
=1.1348

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)
=((523.152 + 0) / 3849.195) / ((585.401 + 0) / 3763.056)
=0.135912 / 0.155565
=0.8737

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
=(27.243 - 0 - 27.032) / 3849.195
=5.5E-5

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.

BCB Bancorp has a M-score of -2.45 suggests that the company is unlikely to be a manipulator.


BCB Bancorp Beneish M-Score Related Terms

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BCB Bancorp (BCB Bancorp) Business Description

Traded in Other Exchanges
Address
104-110 Avenue C, Bayonne, NJ, USA, 07002
BCB Bancorp Inc is a bank holding company. The company offers loans, including commercial and multi-family real estate loans, home equity loans, construction loans, consumer loans, and commercial business loans; FDIC-insured deposit products, such as savings and club accounts, interest and non-interest bearing demand accounts, money market accounts, certificates of deposit and individual retirement accounts, and retail and commercial banking services, including wire transfers, money orders, safe deposit boxes, a night depository, debit cards, online banking, gift cards, fraud detection, and automated teller services.
Executives
James G. Rizzo director 104-110 AVENUE C, BAYONNE NJ 07002
Spencer B. Robbins director 104-110 AVENUE C, BAYONNE NJ 07002
Mark D Hogan director 104-110 AVE C, BAYONE NJ 07002
Ryan Blake officer: Chief Operating Officer 591-595 AVENUE C, BAYONNE NJ 07002
Mark Noto officer: Chief Loan Officer 104-110 AVENUE C, BAYONNE NJ 07002
Thomas Michael Coughlin director, officer: Chief Financial Officer 104 110 AVENUE C, BAYOONE NJ 07002
Vincent Jr Didomenico director 104-110 AVENUE C, BAYONNE NJ 07002
Robert Ballance director 104-110 AVE C, BAYONE NJ 07002
Judith Q Bielan director 104-110 AVE C, BAYONE NJ 07002
James Edward Collins director
Jawad Chaudhry officer: Chief Financial Officer 591-595 AVENUE C, BAYONNE NJ 07002
Joseph Lyga director 104-110 AVE C, BAYONE NJ 07002
David Roque Garcia officer: Chief Lending Officer 104-110 AVENUE C, BAYONNE NJ 07002
Kenneth Emerson officer: SVP/Chief Strategy &Risk Offcr 104-110 AVENUE C, BAYONNE NJ 07002
John Pulomena director 104-110 AVENUE C, BAYONNE NJ 07002