GURUFOCUS.COM » STOCK LIST » Financial Services » Banks » Blue Foundry Bancorp (NAS:BLFY) » Definitions » Beneish M-Score

Blue Foundry Bancorp (Blue Foundry Bancorp) Beneish M-Score : -2.42 (As of Apr. 27, 2024)


View and export this data going back to 2021. Start your Free Trial

What is Blue Foundry 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 -2.42 no higher than -1.78, which implies that the company is unlikely to be a manipulator.

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

BLFY' s Beneish M-Score Range Over the Past 10 Years
Min: -2.42   Med: -2.33   Max: -2.14
Current: -2.42

During the past 5 years, the highest Beneish M-Score of Blue Foundry Bancorp was -2.14. The lowest was -2.42. And the median was -2.33.


Blue Foundry 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 Blue Foundry 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 * 1.3736+0.528 * 1+0.404 * 1.0144+0.892 * 0.8022+0.115 * 0.9613
-0.172 * SGAI+4.679 * TATA-0.327 * LVGI
-0.172 * 1.2021+4.679 * 0.002309-0.327 * 1.2549
=-2.42

* 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 (Dec23) TTM:Last Year (Dec22) TTM:
Total Receivables was $7.60 Mil.
Revenue was 9.768 + 10.245 + 11.286 + 12.425 = $43.72 Mil.
Gross Profit was 9.768 + 10.245 + 11.286 + 12.425 = $43.72 Mil.
Total Current Assets was $337.39 Mil.
Total Assets was $2,044.96 Mil.
Property, Plant and Equipment(Net PPE) was $57.65 Mil.
Depreciation, Depletion and Amortization(DDA) was $2.87 Mil.
Selling, General, & Admin. Expense(SGA) was $29.59 Mil.
Total Current Liabilities was $0.00 Mil.
Long-Term Debt & Capital Lease Obligation was $424.28 Mil.
Net Income was -2.931 + -1.432 + -1.825 + -1.209 = $-7.40 Mil.
Non Operating Income was 0 + 0 + 0 + 0 = $0.00 Mil.
Cash Flow from Operations was -7.205 + 0.776 + -1.267 + -4.422 = $-12.12 Mil.
Total Receivables was $6.89 Mil.
Revenue was 13.371 + 14.614 + 13.656 + 12.866 = $54.51 Mil.
Gross Profit was 13.371 + 14.614 + 13.656 + 12.866 = $54.51 Mil.
Total Current Assets was $362.32 Mil.
Total Assets was $2,043.34 Mil.
Property, Plant and Equipment(Net PPE) was $55.73 Mil.
Depreciation, Depletion and Amortization(DDA) was $2.66 Mil.
Selling, General, & Admin. Expense(SGA) was $30.69 Mil.
Total Current Liabilities was $0.00 Mil.
Long-Term Debt & Capital Lease Obligation was $337.82 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)
=(7.595 / 43.724) / (6.893 / 54.507)
=0.173703 / 0.126461
=1.3736

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)
=(54.507 / 54.507) / (43.724 / 43.724)
=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 - (337.386 + 57.647) / 2044.963) / (1 - (362.323 + 55.731) / 2043.338)
=0.806826 / 0.795406
=1.0144

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
=43.724 / 54.507
=0.8022

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))
=(2.662 / (2.662 + 55.731)) / (2.87 / (2.87 + 57.647))
=0.045588 / 0.047425
=0.9613

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)
=(29.592 / 43.724) / (30.689 / 54.507)
=0.676791 / 0.563029
=1.2021

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)
=((424.277 + 0) / 2044.963) / ((337.824 + 0) / 2043.338)
=0.207474 / 0.165329
=1.2549

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
=(-7.397 - 0 - -12.118) / 2044.963
=0.002309

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.

Blue Foundry Bancorp has a M-score of -2.42 suggests that the company is unlikely to be a manipulator.


Blue Foundry Bancorp Beneish M-Score Related Terms

Thank you for viewing the detailed overview of Blue Foundry Bancorp's Beneish M-Score provided by GuruFocus.com. Please click on the following links to see related term pages.


Blue Foundry Bancorp (Blue Foundry Bancorp) Business Description

Traded in Other Exchanges
N/A
Address
19 Park Avenue, Rutherford, NJ, USA, 07070
Blue Foundry Bancorp is a full-service bank. Its business consists of originating one-to-four-family residential, multi-family, and non-residential real estate mortgages, home equity loans and lines of credit, construction, and commercial and industrial loans. It attracts retail deposits from the general public in the areas surrounding its banking offices, through its borrowers, and through its online presence, offering a wide variety of deposit products. The bank also invests in securities. Its revenues are derived from interest on loans and, to a lesser extent, interest on mortgage-backed and other investment securities. The company's sources of funds are deposits, principal, and interest payments on loans, securities, and borrowings from the Federal Home Loan Bank of New York.
Executives
James Christopher Ely director 19 PARK AVENUE, RUTHERFORD NJ 07070
Jonathan M. Shaw director 19 PARK AVENUE, RUTHERFORD NJ 07070
Elizabeth Varki Jobes director 640 LEE ROAD, CHESTERBROOK PA 19087
Robert Thomas Goldstein director 19 PARK AVENUE, RUTHERFORD NJ 07070
Kenneth Grimbilas director 19 PARK AVENUE, RUTHERFORD NJ 07070
Jason M. Goldberg officer: EVP and Chief Lending Officer 19 PARK AVENUE, RUTHERFORD NJ 07070
James D Nesci director, officer: President and CEO 830 BERGEN AVENUE, JERSEY CITY NJ 07306
Robert Rowe officer: EVP and Chief Risk Officer C/O CIT GROUP INC., ATTN:GENERAL COUNSEL, 1 CIT DRIVE, LIVINGSTON NJ 07039
Patrick H. Kinzler director 19 PARK AVENUE, RUTHERFORD NJ 07070
Margaret Letsche director 19 PARK AVENUE, RUTHERFORD NJ 07070
Kelly Pecoraro officer: EVP and CFO 19 PARK AVENUE, RUTHERFORD NJ 07070
Alexander Agnoletto officer: Controller and Interim CFO 19 PARK AVENUE, RUTHERFORD NJ 07070
Brent Michael Ciurlino officer: EVP and CCO 19 PARK AVENUE, RUTHERFORD NJ 07070
Elizabeth Marie Miller officer: EVP and CRO 19 PARK AVENUE, RUTHERFORD NJ 07070
Aleksander Malkiman officer: EVP and Chief Tech Officer 19 PARK AVENUE, RUTHERFORD NJ 07070