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Apollo Commercial Real Estate Finance (Apollo Commercial Real Estate Finance) Beneish M-Score : -2.42 (As of Apr. 30, 2024)


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What is Apollo Commercial Real Estate Finance 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 Apollo Commercial Real Estate Finance's Beneish M-Score or its related term are showing as below:

ARI' s Beneish M-Score Range Over the Past 10 Years
Min: -4.35   Med: -2.31   Max: -1.93
Current: -2.42

During the past 13 years, the highest Beneish M-Score of Apollo Commercial Real Estate Finance was -1.93. The lowest was -4.35. And the median was -2.31.


Apollo Commercial Real Estate Finance 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 Apollo Commercial Real Estate Finance 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 * 1.5341+0.528 * 1+0.404 * 0.9979+0.892 * 0.7214+0.115 * 1
-0.172 * SGAI+4.679 * TATA-0.327 * LVGI
-0.172 * 1.3721+4.679 * -0.023205-0.327 * 1.028
=-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 $72.4 Mil.
Revenue was 83.493 + 77.877 + 17.02 + 87.617 = $266.0 Mil.
Gross Profit was 83.493 + 77.877 + 17.02 + 87.617 = $266.0 Mil.
Total Current Assets was $297.8 Mil.
Total Assets was $9,296.7 Mil.
Property, Plant and Equipment(Net PPE) was $0.0 Mil.
Depreciation, Depletion and Amortization(DDA) was $8.2 Mil.
Selling, General, & Admin. Expense(SGA) was $48.6 Mil.
Total Current Liabilities was $5,645.8 Mil.
Long-Term Debt & Capital Lease Obligation was $1,403.0 Mil.
Net Income was 46.54 + 46.071 + -83.4 + 48.916 = $58.1 Mil.
Non Operating Income was 0 + 0 + 0 + 0 = $0.0 Mil.
Cash Flow from Operations was 30.845 + 83.435 + 49.332 + 110.25 = $273.9 Mil.
Total Receivables was $65.4 Mil.
Revenue was 50.436 + 157.677 + 99.903 + 60.746 = $368.8 Mil.
Gross Profit was 50.436 + 157.677 + 99.903 + 60.746 = $368.8 Mil.
Total Current Assets was $287.4 Mil.
Total Assets was $9,568.4 Mil.
Property, Plant and Equipment(Net PPE) was $0.0 Mil.
Depreciation, Depletion and Amortization(DDA) was $0.7 Mil.
Selling, General, & Admin. Expense(SGA) was $49.1 Mil.
Total Current Liabilities was $5,396.2 Mil.
Long-Term Debt & Capital Lease Obligation was $1,661.0 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)
=(72.354 / 266.007) / (65.383 / 368.762)
=0.272 / 0.177304
=1.5341

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)
=(368.762 / 368.762) / (266.007 / 266.007)
=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 - (297.792 + 0) / 9296.73) / (1 - (287.413 + 0) / 9568.352)
=0.967968 / 0.969962
=0.9979

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
=266.007 / 368.762
=0.7214

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))
=(0.704 / (0.704 + 0)) / (8.248 / (8.248 + 0))
=1 / 1
=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)
=(48.591 / 266.007) / (49.095 / 368.762)
=0.182668 / 0.133135
=1.3721

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)
=((1403.016 + 5645.781) / 9296.73) / ((1660.965 + 5396.176) / 9568.352)
=0.758202 / 0.73755
=1.028

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
=(58.127 - 0 - 273.862) / 9296.73
=-0.023205

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.

Apollo Commercial Real Estate Finance has a M-score of -2.42 suggests that the company is unlikely to be a manipulator.


Apollo Commercial Real Estate Finance Beneish M-Score Related Terms

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Apollo Commercial Real Estate Finance (Apollo Commercial Real Estate Finance) Business Description

Traded in Other Exchanges
Address
c/o Apollo Global Management, Inc, 9 West 57th Street, 42nd Floor, New York, NY, USA, 10019
Apollo Commercial Real Estate Finance Inc is a real estate investment trust that primarily originates, invests in, acquires, and manages commercial first-mortgage loans, subordinate financings, commercial mortgage-backed securities, and other real estate-related debt investments. The subordinate loans and first-mortgage loans account for the vast majority of the portfolio on a cost basis. Property types include residential, retail, healthcare, office, mixed-use, hotel, industrial, multifamily, securities, and other, with residential properties and hotels representing the highest property value. More than a third of the properties are located in New York City, with the other properties located across other regions of the United States, as well as other countries.
Executives
Stuart Rothstein officer: CFO, Treasurer and Secretary 2180 SAND HILL RD, STE 200, MENLO PARK CA 94025
Mark C Biderman director NATIONAL FINANCIAL PARTNERS CORP, 340 MADISON AVENUE, 19TH FL, NEW YORK NY 10173
Pamela G Carlton director 901 S. MARQUETTE AVENUE, MINNEAPOLIS MN 55402
Robert A Kasdin director 239 CENTRAL PARK WEST, APT 3A, NEW YORK NY 10024
Anastasia G. Mironova officer: CFO, Secretary & Treasurer 9 WEST 57TH STREET, 43RD FLOOR, NEW YORK NY 10019
Whonder Carmencita N.m. director 9 WEST 57TH STREET, 43RD FLOOR, NEW YORK NY 10019
Eric Press director 1301 AVENUE OF THE AMERICA 38TH FLOOR, NEW YORK NY 10019
Jai Agarwal officer: CFO, Treasurer and Secretary 601 LEXINGTON AVE, 26TH FLOOR, NEW YORK NY 10022
Katherine G. Newman director C/O APOLLO GLOBAL MANAGEMENT, INC., 9 WEST 57TH STREET, 43RD FLOOR, NEW YORK NY 10019
Michael Salvati director
Brenna Haysom Romando director 36 BLOOMS CORNERS ROAD, WARWICK NY 10990
Jeffrey M Gault director MORGANS HOTEL GROUP CO., 475 TENTH AVENUE, NEW YORK NY 10018
Scott Prince director 9 W 57TH STREET, NEW YORK NY 10019
Investment Authority Qatar 10 percent owner P.O. BOX 23224, DOHA S3 QATAR
Cindy Z Michel director C/O APOLLO INVESTMENT CORPORATION, 9 WEST 57TH STREET, NEW YORK NY 10019