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Apollo Commercial Real Estate Finance (FRA:9A1) Beneish M-Score : -2.16 (As of May. 04, 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 -2.16 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:

FRA:9A1' s Beneish M-Score Range Over the Past 10 Years
Min: -4.32   Med: -2.38   Max: -1.64
Current: -2.16

During the past 13 years, the highest Beneish M-Score of Apollo Commercial Real Estate Finance was -1.64. The lowest was -4.32. And the median was -2.38.


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 * 2.0094+0.528 * 1+0.404 * 1.0157+0.892 * 0.6344+0.115 * 1
-0.172 * SGAI+4.679 * TATA-0.327 * LVGI
-0.172 * 1.5408+4.679 * -0.033923-0.327 * 1.0346
=-2.13

* 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 €78.3 Mil.
Revenue was 77.848 + 76.563 + 72.971 + 15.709 = €243.1 Mil.
Gross Profit was 77.848 + 76.563 + 72.971 + 15.709 = €243.1 Mil.
Total Current Assets was €226.6 Mil.
Total Assets was €8,487.0 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 €27.6 Mil.
Total Current Liabilities was €5,258.0 Mil.
Long-Term Debt & Capital Lease Obligation was €1,289.9 Mil.
Net Income was -96.162 + 42.677 + 43.169 + -76.978 = €-87.3 Mil.
Non Operating Income was 0 + 0 + 0 + 0 = €0.0 Mil.
Cash Flow from Operations was 48.616 + 28.285 + 78.179 + 45.533 = €200.6 Mil.
Total Receivables was €61.4 Mil.
Revenue was 81.834 + 47.612 + 159.254 + 94.508 = €383.2 Mil.
Gross Profit was 81.834 + 47.612 + 159.254 + 94.508 = €383.2 Mil.
Total Current Assets was €371.1 Mil.
Total Assets was €8,880.7 Mil.
Property, Plant and Equipment(Net PPE) was €0.0 Mil.
Depreciation, Depletion and Amortization(DDA) was €3.7 Mil.
Selling, General, & Admin. Expense(SGA) was €28.3 Mil.
Total Current Liabilities was €5,104.7 Mil.
Long-Term Debt & Capital Lease Obligation was €1,517.8 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)
=(78.266 / 243.091) / (61.399 / 383.208)
=0.321962 / 0.160224
=2.0094

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)
=(383.208 / 383.208) / (243.091 / 243.091)
=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 - (226.561 + 0) / 8486.993) / (1 - (371.051 + 0) / 8880.686)
=0.973305 / 0.958218
=1.0157

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
=243.091 / 383.208
=0.6344

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))
=(3.723 / (3.723 + 0)) / (8.226 / (8.226 + 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)
=(27.618 / 243.091) / (28.257 / 383.208)
=0.113612 / 0.073738
=1.5408

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)
=((1289.933 + 5257.953) / 8486.993) / ((1517.819 + 5104.743) / 8880.686)
=0.77152 / 0.745726
=1.0346

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
=(-87.294 - 0 - 200.613) / 8486.993
=-0.033923

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 -2.13 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 (FRA:9A1) 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.