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Federal Home Loan Mortgage (STU:FHL) Beneish M-Score : -2.33 (As of May. 21, 2024)


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What is Federal Home Loan Mortgage 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 -2.33 no higher than -1.78, which implies that the company is unlikely to be a manipulator.

The historical rank and industry rank for Federal Home Loan Mortgage's Beneish M-Score or its related term are showing as below:

STU:FHL' s Beneish M-Score Range Over the Past 10 Years
Min: -2.92   Med: -2.35   Max: -0.48
Current: -2.33

During the past 13 years, the highest Beneish M-Score of Federal Home Loan Mortgage was -0.48. The lowest was -2.92. And the median was -2.35.


Federal Home Loan Mortgage 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 Federal Home Loan Mortgage 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 * 1.083+0.528 * 1+0.404 * 1+0.892 * 1.055+0.115 * 1
-0.172 * SGAI+4.679 * TATA-0.327 * LVGI
-0.172 * 0.9892+4.679 * 0.0013-0.327 * 0.9941
=-2.34

* 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 €9,243 Mil.
Revenue was 5296.44 + 4927.041 + 5331.53 + 4927.897 = €20,483 Mil.
Gross Profit was 5296.44 + 4927.041 + 5331.53 + 4927.897 = €20,483 Mil.
Total Current Assets was €0 Mil.
Total Assets was €3,024,383 Mil.
Property, Plant and Equipment(Net PPE) was €0 Mil.
Depreciation, Depletion and Amortization(DDA) was €0 Mil.
Selling, General, & Admin. Expense(SGA) was €1,528 Mil.
Total Current Liabilities was €0 Mil.
Long-Term Debt & Capital Lease Obligation was €2,952,108 Mil.
Net Income was 2544.72 + 2672.138 + 2515.845 + 2717.312 = €10,450 Mil.
Non Operating Income was 0 + 0 + 0 + 0 = €0 Mil.
Cash Flow from Operations was 2662.48 + 1726.711 + 680.262 + 1450.033 = €6,519 Mil.
Total Receivables was €8,090 Mil.
Revenue was 4508.418 + 4562.352 + 5232.81 + 5112.184 = €19,416 Mil.
Gross Profit was 4508.418 + 4562.352 + 5232.81 + 5112.184 = €19,416 Mil.
Total Current Assets was €0 Mil.
Total Assets was €3,012,131 Mil.
Property, Plant and Equipment(Net PPE) was €0 Mil.
Depreciation, Depletion and Amortization(DDA) was €0 Mil.
Selling, General, & Admin. Expense(SGA) was €1,464 Mil.
Total Current Liabilities was €0 Mil.
Long-Term Debt & Capital Lease Obligation was €2,957,555 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)
=(9243.24 / 20482.908) / (8090.308 / 19415.764)
=0.451266 / 0.416688
=1.083

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)
=(19415.764 / 19415.764) / (20482.908 / 20482.908)
=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 - (0 + 0) / 3024383.16) / (1 - (0 + 0) / 3012131.32)
=1 / 1
=1

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
=20482.908 / 19415.764
=1.055

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)
=(1527.854 / 20482.908) / (1464.042 / 19415.764)
=0.074592 / 0.075405
=0.9892

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)
=((2952107.96 + 0) / 3024383.16) / ((2957554.898 + 0) / 3012131.32)
=0.976102 / 0.981881
=0.9941

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
=(10450.015 - 0 - 6519.486) / 3024383.16
=0.0013

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.

Federal Home Loan Mortgage has a M-score of -2.34 suggests that the company is unlikely to be a manipulator.


Federal Home Loan Mortgage Beneish M-Score Related Terms

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Federal Home Loan Mortgage (STU:FHL) Business Description

Address
8200 Jones Branch Drive, McLean, VA, USA, 22102-3110
Federal Home Loan Mortgage Corp is a US based government-sponsored enterprise. The company invests in mortgage loans and mortgage-related securities. It operates in the following segments: Single-family, Multifamily. The company is engaged in originating, purchase, and guarantee single-family loans originated by its seller. It provides a guarantee and security for the payment of principal and interest on the mortgage-related securities in exchange for management and guarantee fees. The company purchases multifamily loans for aggregation and then securitization through the issuance of multifamily K Certificates as well as issues and guarantees other securitization products. Majority of the revenue is earned from single family.