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Ellington Financial (Ellington Financial) Beneish M-Score : 1.68 (As of Apr. 27, 2024)


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What is Ellington 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.

Warning Sign:

Beneish M-Score 1.68 higher than -1.78, which implies that the company might have manipulated its financial results.

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

EFC' s Beneish M-Score Range Over the Past 10 Years
Min: -3.86   Med: -1.47   Max: 21.49
Current: 1.68

During the past 13 years, the highest Beneish M-Score of Ellington Financial was 21.49. The lowest was -3.86. And the median was -1.47.


Ellington 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 Ellington 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 * 0.5081+0.528 * 1+0.404 * 0.9776+0.892 * 5.9447+0.115 * 1
-0.172 * SGAI+4.679 * TATA-0.327 * LVGI
-0.172 * 0.3929+4.679 * 0.021281-0.327 * 0.9891
=1.68

* 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 $532.1 Mil.
Revenue was 78.971 + 48.844 + 54.409 + 74.276 = $256.5 Mil.
Gross Profit was 78.971 + 48.844 + 54.409 + 74.276 = $256.5 Mil.
Total Current Assets was $761.1 Mil.
Total Assets was $15,315.9 Mil.
Property, Plant and Equipment(Net PPE) was $0.0 Mil.
Depreciation, Depletion and Amortization(DDA) was $0.0 Mil.
Selling, General, & Admin. Expense(SGA) was $69.2 Mil.
Total Current Liabilities was $140.0 Mil.
Long-Term Debt & Capital Lease Obligation was $13,333.9 Mil.
Net Income was 18.602 + 12.571 + 8.878 + 44.033 = $84.1 Mil.
Non Operating Income was 0 + 0 + 0 + 0 = $0.0 Mil.
Cash Flow from Operations was -78.954 + -70.894 + -43.348 + -48.662 = $-241.9 Mil.
Total Receivables was $176.2 Mil.
Revenue was 66.484 + 6.214 + -36.899 + 7.349 = $43.1 Mil.
Gross Profit was 66.484 + 6.214 + -36.899 + 7.349 = $43.1 Mil.
Total Current Assets was $393.2 Mil.
Total Assets was $14,085.9 Mil.
Property, Plant and Equipment(Net PPE) was $0.0 Mil.
Depreciation, Depletion and Amortization(DDA) was $0.0 Mil.
Selling, General, & Admin. Expense(SGA) was $29.6 Mil.
Total Current Liabilities was $123.2 Mil.
Long-Term Debt & Capital Lease Obligation was $12,404.6 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)
=(532.133 / 256.5) / (176.174 / 43.148)
=2.074593 / 4.083017
=0.5081

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)
=(43.148 / 43.148) / (256.5 / 256.5)
=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 - (761.06 + 0) / 15315.93) / (1 - (393.227 + 0) / 14085.886)
=0.950309 / 0.972084
=0.9776

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
=256.5 / 43.148
=5.9447

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 / (0 + 0)) / (0 / (0 + 0))
= /
=1

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)
=(69.23 / 256.5) / (29.644 / 43.148)
=0.269903 / 0.687031
=0.3929

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)
=((13333.932 + 139.966) / 15315.93) / ((12404.614 + 123.166) / 14085.886)
=0.879731 / 0.889385
=0.9891

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
=(84.084 - 0 - -241.858) / 15315.93
=0.021281

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.

Ellington Financial has a M-score of 1.68 signals that the company is likely to be a manipulator.


Ellington Financial Beneish M-Score Related Terms

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Ellington Financial (Ellington Financial) Business Description

Traded in Other Exchanges
Address
53 Forest Avenue, Old Greenwich, CT, USA, 06870
Ellington Financial Inc is a specialty finance company. Its primary investment objective is to generate attractive, risk-adjusted total returns for its shareholders by making investments. the Company has two reportable segments; The Investment Portfolio Segment is focused on investing in a diverse array of financial assets, including residential and commercial mortgage loans, residential mortgage-backed securities, non-mortgage- and mortgage-related derivatives, debt and equity investments in loan origination companies, and other strategic investments, and The Longbridge Segment is focused on the origination and servicing of reverse mortgage loans. it acquires reverse mortgage loans both through its origination activities and through secondary market purchases.
Executives
Lisa Mumford officer: Chief Financial Officer 6 BEACHWOOD COURT, DIX HILLS NY 11746
Stephen J Dannhauser director 122 WEST 55TH STREET, NEW YORK NY 10019
Laurence Penn director, officer: CEO and President 52 FOREST AVENUE, OLD GREENWICH CT 06870
Ronald I Simon director 485 MADISON AVENUE, 14TH FLOOR, NEW YORK NY 10022
Michael W Vranos director, 10 percent owner, officer: Co-Chief Investment Officer 52 FOREST AVENUE, OLD GREENWICH CT 06870
Chris Smernoff officer: Chief Accounting Officer 53 FOREST AVENUE, OLD GREENWICH CT 06870
John Herlihy officer: Chief Financial Officer 53 FOREST AVENUE, OLD GREENWICH CT 06870
Mark Tecotzky officer: Co-Chief Investment Officer 53 FOREST AVENUE, OLD GREENWICH CT 06870
Thomas F Robards director 666 THIRD AVENUE, 5TH FLOOR, NEW YORK NY 10017
Daniel R. Margolis officer: Secretary 53 FOREST AVENUE, OLD GREENWICH CT 06870
Edward Resendez director 52 FOREST AVENUE, OLD GREENWICH CT 06870
Vc Investments Llc 10 percent owner 53 FOREST AVENUE, 2ND FLOOR, OLD GREENWICH CT 06870
Emg Holdings, L.p. 10 percent owner 53 FOREST AVENUE, OLD GREENWICH CT 06870
Fbr Capital Markets Pt Inc 10 percent owner 1001 NINETEENTH STREET NORTH, ARLINGTON VA 22302