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First American Financial (FRA:Y1F) Beneish M-Score : -2.72 (As of May. 17, 2024)


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What is First American 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.

Good Sign:

Beneish M-Score -2.72 no higher than -1.78, which implies that the company is unlikely to be a manipulator.

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

FRA:Y1F' s Beneish M-Score Range Over the Past 10 Years
Min: -3.68   Med: -2.87   Max: -2.07
Current: -2.72

During the past 13 years, the highest Beneish M-Score of First American Financial was -2.07. The lowest was -3.68. And the median was -2.87.


First American 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 First American 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 * 1.3603+0.528 * 1+0.404 * 0.9915+0.892 * 0.8215+0.115 * 0.9887
-0.172 * SGAI+4.679 * TATA-0.327 * LVGI
-0.172 * 1.0467+4.679 * -0.084523-0.327 * 1.0292
=-2.73

* 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 €402 Mil.
Revenue was 1310.632 + 1305.716 + 1387.884 + 1520.089 = €5,524 Mil.
Gross Profit was 1310.632 + 1305.716 + 1387.884 + 1520.089 = €5,524 Mil.
Total Current Assets was €0 Mil.
Total Assets was €13,522 Mil.
Property, Plant and Equipment(Net PPE) was €905 Mil.
Depreciation, Depletion and Amortization(DDA) was €178 Mil.
Selling, General, & Admin. Expense(SGA) was €1,836 Mil.
Total Current Liabilities was €0 Mil.
Long-Term Debt & Capital Lease Obligation was €1,501 Mil.
Net Income was 42.964 + 31.27 + -1.593 + 127.836 = €200 Mil.
Non Operating Income was 205.16 + 197.705 + 230.221 + 231.027 = €864 Mil.
Cash Flow from Operations was 63.756 + -38.239 + 205.484 + 248.287 = €479 Mil.
Total Receivables was €360 Mil.
Revenue was 1350.657 + 1579.973 + 1842.543 + 1951.125 = €6,724 Mil.
Gross Profit was 1350.657 + 1579.973 + 1842.543 + 1951.125 = €6,724 Mil.
Total Current Assets was €0 Mil.
Total Assets was €14,368 Mil.
Property, Plant and Equipment(Net PPE) was €847 Mil.
Depreciation, Depletion and Amortization(DDA) was €165 Mil.
Selling, General, & Admin. Expense(SGA) was €2,135 Mil.
Total Current Liabilities was €0 Mil.
Long-Term Debt & Capital Lease Obligation was €1,550 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)
=(401.856 / 5524.321) / (359.59 / 6724.298)
=0.072743 / 0.053476
=1.3603

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)
=(6724.298 / 6724.298) / (5524.321 / 5524.321)
=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 + 905.28) / 13521.976) / (1 - (0 + 847.138) / 14368.189)
=0.933051 / 0.941041
=0.9915

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
=5524.321 / 6724.298
=0.8215

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))
=(164.729 / (164.729 + 847.138)) / (178.445 / (178.445 + 905.28))
=0.162797 / 0.164659
=0.9887

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)
=(1835.787 / 5524.321) / (2134.839 / 6724.298)
=0.33231 / 0.317481
=1.0467

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)
=((1500.888 + 0) / 13521.976) / ((1549.599 + 0) / 14368.189)
=0.110996 / 0.107849
=1.0292

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
=(200.477 - 864.113 - 479.288) / 13521.976
=-0.084523

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.

First American Financial has a M-score of -2.73 suggests that the company is unlikely to be a manipulator.


First American Financial Beneish M-Score Related Terms

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First American Financial (FRA:Y1F) Business Description

Traded in Other Exchanges
Address
1 First American Way, Santa Ana, CA, USA, 92707-5913
First American Financial Corp is a financial services business providing insurance through two segments: title insurance and related services and specialty insurance. Title insurance and related services include real estate insurance, property closing services, third-party handling of real estate funds (escrow), risk mitigation, real estate data products, and related real estate transaction services. The title insurance sector serves residential and commercial deals. Specialty insurance includes property insurance policies, casualty insurance policies, and home warranties. Nearly all the company's revenue comes from the title insurance and related services segment in the United States.