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Columbia Financial (Columbia Financial) Beneish M-Score : -2.35 (As of Apr. 26, 2024)


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What is Columbia 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 -2.35 no higher than -1.78, which implies that the company is unlikely to be a manipulator.

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

CLBK' s Beneish M-Score Range Over the Past 10 Years
Min: -2.71   Med: -2.32   Max: -2.13
Current: -2.35

During the past 8 years, the highest Beneish M-Score of Columbia Financial was -2.13. The lowest was -2.71. And the median was -2.32.


Columbia 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 Columbia 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 * 1.4788+0.528 * 1+0.404 * 1.0026+0.892 * 0.7849+0.115 * 0.9414
-0.172 * SGAI+4.679 * TATA-0.327 * LVGI
-0.172 * 1.3772+4.679 * -0.000435-0.327 * 1.1427
=-2.35

* 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 $39.3 Mil.
Revenue was 56.588 + 57.124 + 50.605 + 68.937 = $233.3 Mil.
Gross Profit was 56.588 + 57.124 + 50.605 + 68.937 = $233.3 Mil.
Total Current Assets was $1,556.2 Mil.
Total Assets was $10,645.6 Mil.
Property, Plant and Equipment(Net PPE) was $83.6 Mil.
Depreciation, Depletion and Amortization(DDA) was $14.3 Mil.
Selling, General, & Admin. Expense(SGA) was $132.3 Mil.
Total Current Liabilities was $0.0 Mil.
Long-Term Debt & Capital Lease Obligation was $1,528.7 Mil.
Net Income was 6.569 + 9.13 + 1.664 + 18.723 = $36.1 Mil.
Non Operating Income was 0 + 0 + 0 + 0 = $0.0 Mil.
Cash Flow from Operations was -32.473 + 43.263 + 33.534 + -3.608 = $40.7 Mil.
Total Receivables was $33.9 Mil.
Revenue was 75.919 + 77.315 + 74.176 + 69.767 = $297.2 Mil.
Gross Profit was 75.919 + 77.315 + 74.176 + 69.767 = $297.2 Mil.
Total Current Assets was $1,541.8 Mil.
Total Assets was $10,408.2 Mil.
Property, Plant and Equipment(Net PPE) was $83.9 Mil.
Depreciation, Depletion and Amortization(DDA) was $13.4 Mil.
Selling, General, & Admin. Expense(SGA) was $122.4 Mil.
Total Current Liabilities was $180.9 Mil.
Long-Term Debt & Capital Lease Obligation was $1,127.0 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)
=(39.345 / 233.254) / (33.898 / 297.177)
=0.168679 / 0.114067
=1.4788

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)
=(297.177 / 297.177) / (233.254 / 233.254)
=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 - (1556.151 + 83.577) / 10645.568) / (1 - (1541.76 + 83.877) / 10408.169)
=0.845971 / 0.843811
=1.0026

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
=233.254 / 297.177
=0.7849

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))
=(13.351 / (13.351 + 83.877)) / (14.272 / (14.272 + 83.577))
=0.137316 / 0.145857
=0.9414

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)
=(132.29 / 233.254) / (122.382 / 297.177)
=0.56715 / 0.411815
=1.3772

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)
=((1528.695 + 0) / 10645.568) / ((1127.047 + 180.908) / 10408.169)
=0.143599 / 0.125666
=1.1427

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
=(36.086 - 0 - 40.716) / 10645.568
=-0.000435

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.

Columbia Financial has a M-score of -2.35 suggests that the company is unlikely to be a manipulator.


Columbia Financial Beneish M-Score Related Terms

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Columbia Financial (Columbia Financial) Business Description

Traded in Other Exchanges
N/A
Address
19-01 Route 208 North, Fair Lawn, NJ, USA, 07410
Columbia Financial Inc is a federally chartered saving bank that serves the financial needs of depositors and the local community as a community-minded, customer service-focused institution. It offers traditional financial services to businesses and consumers. It attracts deposits from the general public and uses those funds to originate a variety of loans, including multifamily and commercial real estate loans, commercial business loans, one-to-four family real estate loans, construction loans, home equity loans and advances, and other consumer loans, and also offers a broad range of insurance products, investment solutions, and wealth management services.
Executives
John Klimowich officer: EVP & Chief Risk Officer C/O COLUMBIA FINANCIAL, INC., 19-01 ROUTE 208 NORTH, FAIR LAWN NJ 07410
Dennis E. Gibney officer: EVP & Chief Financial Officer C/O COLUMBIA FINANCIAL, INC., 19-01 ROUTE 208 NORTH, FAIR LAWN NJ 07410
Thomas J. Kemly director, officer: President & CEO C/O COLUMBIA FINANCIAL, INC., 19-01 ROUTE 208 NORTH, FAIR LAWN NJ 07410
Mayra Liseth Rinaldi officer: EVP, Corp Governance & Culture C/O COLUMBIA FINANCIAL, INC., 19-01 ROUTE 208 NORTH, FAIR LAWN NJ 07410
Elizabeth E. Randall director C/O COLUMBIA FINANCIAL, INC., 19-01 ROUTE 208 NORTH, FAIR LAWN NJ 07410
Michael Jr. Massood director C/O COLUMBIA FINANCIAL, INC., 19-01 ROUTE 208 NORTH, FAIR LAWN NJ 07410
Manesh Balachandran Prabhu officer: EVP & CIO C/O COLUMBIA FINANCIAL, INC., 19-01 ROUTE 208 NORTH, FAIR LAWN NJ 07410
Matthew William Rickert officer: EVP & Chief Credit Officer C/O COLUMBIA FINANCIAL, INC., 19-01 ROUTE 208 NORTH, FAIR LAWN NJ 07410
Jenifer White Walden officer: EVP & CHRO C/O COLUMBIA FINANCIAL, INC., 19-01 ROUTE 208 NORTH, FAIR LAWN NJ 07410
Dyk Robert Van director C/O COLUMBIA FINANCIAL, INC., 19-01 ROUTE 208 NORTH, FAIR LAWN NJ 07410
Allyson Katz Schlesinger officer: EVP & Head of Consumer Banking C/O COLUMBIA FINANCIAL, INC., 19-01 ROUTE 208 NORTH, FAIR LAWN NJ 07410
Ostenbridge Paul Van director 313 LONGBOW DRIVE, FRANKLIN LAKES NJ 07417
William Justin Jennings officer: EVP, Operations Officer C/O COLUMBIA FINANCIAL, INC., 19-01 ROUTE 208 NORTH, FAIR LAWN NJ 07410
Daria Stacy-walls Torres director C/O COLUMBIA FINANCIAL, INC., 19-01 ROUTE 208 NORTH, FAIR LAWN NJ 07410
Lewis Oliver Edward Jr officer: EVP & Head Commercial Banking C/O COLUMBIA FINANCIAL, INC., 19-01 ROUTE 208 NORTH, FAIR LAWN NJ 07410