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Federal Agricultural Mortgage (Federal Agricultural Mortgage) Beneish M-Score

: -2.25 (As of Today)
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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 -2.25 no higher than -1.78, which implies that the company is unlikely to be a manipulator.

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

AGM' s Beneish M-Score Range Over the Past 10 Years
Min: -2.53   Med: -2.37   Max: -2.25
Current: -2.25

During the past 13 years, the highest Beneish M-Score of Federal Agricultural Mortgage was -2.25. The lowest was -2.53. And the median was -2.37.


Federal Agricultural 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 Agricultural 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 * 1.0733+0.528 * 1+0.404 * 1.1794+0.892 * 1.1366+0.115 * 1
-0.172 * SGAI+4.679 * TATA-0.327 * LVGI
-0.172 * 1.0516+4.679 * -0.005954-0.327 * 0.9899
=-2.25

* 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 $337.0 Mil.
Revenue was 85 + 97.103 + 84.617 + 84.616 = $351.3 Mil.
Gross Profit was 85 + 97.103 + 84.617 + 84.616 = $351.3 Mil.
Total Current Assets was $11,677.1 Mil.
Total Assets was $29,524.4 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 $93.9 Mil.
Total Current Liabilities was $8,345.7 Mil.
Long-Term Debt & Capital Lease Obligation was $19,850.9 Mil.
Net Income was 47.619 + 58.137 + 47.212 + 47.035 = $200.0 Mil.
Non Operating Income was 0 + 0 + 0 + 0 = $0.0 Mil.
Cash Flow from Operations was -166.85 + 362.985 + 119.102 + 60.561 = $375.8 Mil.
Total Receivables was $276.2 Mil.
Revenue was 78.974 + 71.878 + 71.426 + 86.833 = $309.1 Mil.
Gross Profit was 78.974 + 71.878 + 71.426 + 86.833 = $309.1 Mil.
Total Current Assets was $13,324.0 Mil.
Total Assets was $27,333.1 Mil.
Property, Plant and Equipment(Net PPE) was $0.0 Mil.
Depreciation, Depletion and Amortization(DDA) was $0.3 Mil.
Selling, General, & Admin. Expense(SGA) was $78.5 Mil.
Total Current Liabilities was $8,220.9 Mil.
Long-Term Debt & Capital Lease Obligation was $18,148.0 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)
=(336.96 / 351.336) / (276.212 / 309.111)
=0.959082 / 0.893569
=1.0733

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)
=(309.111 / 309.111) / (351.336 / 351.336)
=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 - (11677.077 + 0) / 29524.382) / (1 - (13324.004 + 0) / 27333.11)
=0.604494 / 0.512532
=1.1794

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
=351.336 / 309.111
=1.1366

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))
=(0.347 / (0.347 + 0)) / (0 / (0 + 0))
=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)
=(93.877 / 351.336) / (78.538 / 309.111)
=0.2672 / 0.254077
=1.0516

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)
=((19850.86 + 8345.671) / 29524.382) / ((18147.972 + 8220.925) / 27333.11)
=0.955025 / 0.964724
=0.9899

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
=(200.003 - 0 - 375.798) / 29524.382
=-0.005954

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 Agricultural Mortgage has a M-score of -2.25 suggests that the company is unlikely to be a manipulator.


Federal Agricultural Mortgage Beneish M-Score Related Terms

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Federal Agricultural Mortgage (Federal Agricultural Mortgage) Business Description

Address
1999 K Street, North West, 4th Floor, Washington, DC, USA, 20006
Federal Agricultural Mortgage Corp provides agricultural real estate and rural housing mortgage loans in the secondary market in the U.S. Its operations consist of seven segments: Farm & Ranch, Corporate AgFinance, Rural Utilities, Renewable Energy, Funding, Investments, and Corporate. The company purchases eligible mortgage loans secured by first liens on agricultural real estate and rural housing under the Farm & Ranch line of business. Its subsidiary purchases the portions of certain agricultural, rural development, business and industry, and community facilities loans guaranteed by the USDA.
Executives
Chester J Culver director C/O FARMER MAC, 1999 K STREET NW, 4TH FLOOR, WASHINGTON DC 20006
Robert J Maines officer: SVP - Operations C/O BENEFICIAL BANCORP, INC., 1818 MARKET STREET, PHILADELPHIA PA 19103
Zachary Carpenter officer: Chief Business Officer C/O FARMER MAC, 1999 K STREET NW, FOURTH FL, WASHINGTON DC 20006
Charles A Stones director C/O FARMER MAC 1999 K STREET N.W., FOURTH FLOOR, WASHINGTON DC 20006
Stephen P Mullery officer: SVP - General Counsel C/O FARMER MAC, 1999 K STREET N.W., 4TH FLOOR, WASHINGTON DC 20006
Bradford T Nordholm officer: President and CEO C/O FARMER MAC 1999 K STREET N.W., FOURTH FLOOR, WASHINGTON DC 20006
Dennis L Brack director 1999 K STREET, NW, 4TH FLOOR, WASHINGTON, DC 20006
Brian M Brinch officer: SVP-Business Strategy C/O FARMER MAC, 1999 K STREET NW, FOURTH FLOOR, WASHINGTON DC 20006
Kerry T Willie officer: SVP - Chief HR Officer C/O FARMER MAC 1999 K STREET N.W., FOURTH FLOOR, WASHINGTON DC 20006
Everett M Dobrinski director C/O FARMER MAC, 1999 K STREET NW, FOURTH FL, WASHINGTON DC 20006
Sean Datcher officer: SVP- Chief Information Officer C/O FARMER MAC 1999 K STREET NW, 4TH FL, WASHINGTON DC 20006
Robert G Sexton director C/O FARMER MAC, 1999 K STREET NW, FOURTH FL, WASHINGTON DC 20006
Sara Louise Faivre-davis director C/O FARMER MAC, 1999 K STREET, NW, 4TH FLOOR, WASHINGTON DC 20006
James R Engebretsen director C/O FARMER MAC, 1999 K STREET, NW, 4TH FLOOR, WASHINGTON DC 20006
Roy H Tiarks director C/O FARMER MAC 1999 K STREET NW, 4TH FL, WASHINGTON DC 20006