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Fidelity National Financial (FRA:F1EF) Beneish M-Score : -2.27 (As of May. 01, 2024)


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What is Fidelity National 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 -2.27 no higher than -1.78, which implies that the company is unlikely to be a manipulator.

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

FRA:F1EF' s Beneish M-Score Range Over the Past 10 Years
Min: -3.19   Med: -2.49   Max: 4.49
Current: -2.27

During the past 13 years, the highest Beneish M-Score of Fidelity National Financial was 4.49. The lowest was -3.19. And the median was -2.49.


Fidelity National 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 Fidelity National 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 * 1.5905+0.528 * 1+0.404 * 0.9518+0.892 * 0.9775+0.115 * 0.8776
-0.172 * SGAI+4.679 * TATA-0.327 * LVGI
-0.172 * 0.9084+4.679 * -0.074582-0.327 * 0.9393
=-2.30

* 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 €8,637 Mil.
Revenue was 3092.124 + 2538.333 + 2790.229 + 2257.478 = €10,678 Mil.
Gross Profit was 3092.124 + 2538.333 + 2790.229 + 2257.478 = €10,678 Mil.
Total Current Assets was €32,990 Mil.
Total Assets was €73,923 Mil.
Property, Plant and Equipment(Net PPE) was €473 Mil.
Depreciation, Depletion and Amortization(DDA) was €550 Mil.
Selling, General, & Admin. Expense(SGA) was €2,697 Mil.
Total Current Liabilities was €1,069 Mil.
Long-Term Debt & Capital Lease Obligation was €3,926 Mil.
Net Income was -63.273 + 399.162 + 202.137 + -55.106 = €483 Mil.
Non Operating Income was 0 + 0 + 0 + 0 = €0 Mil.
Cash Flow from Operations was 2075.171 + 1008.212 + 1588.483 + 1324.412 = €5,996 Mil.
Total Receivables was €5,555 Mil.
Revenue was 2419.472 + 3293.61 + 2437.842 + 2773.032 = €10,924 Mil.
Gross Profit was 2419.472 + 3293.61 + 2437.842 + 2773.032 = €10,924 Mil.
Total Current Assets was €25,610 Mil.
Total Assets was €61,495 Mil.
Property, Plant and Equipment(Net PPE) was €524 Mil.
Depreciation, Depletion and Amortization(DDA) was €468 Mil.
Selling, General, & Admin. Expense(SGA) was €3,038 Mil.
Total Current Liabilities was €972 Mil.
Long-Term Debt & Capital Lease Obligation was €3,451 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)
=(8637.223 / 10678.164) / (5555.44 / 10923.956)
=0.808868 / 0.508556
=1.5905

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)
=(10923.956 / 10923.956) / (10678.164 / 10678.164)
=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 - (32989.992 + 473.172) / 73923.038) / (1 - (25609.776 + 523.92) / 61494.992)
=0.547324 / 0.575027
=0.9518

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
=10678.164 / 10923.956
=0.9775

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))
=(467.92 / (467.92 + 523.92)) / (550.025 / (550.025 + 473.172))
=0.47177 / 0.537555
=0.8776

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)
=(2697.355 / 10678.164) / (3037.834 / 10923.956)
=0.252605 / 0.278089
=0.9084

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)
=((3925.677 + 1069.222) / 73923.038) / ((3451.264 + 972.32) / 61494.992)
=0.067569 / 0.071934
=0.9393

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
=(482.92 - 0 - 5996.278) / 73923.038
=-0.074582

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.

Fidelity National Financial has a M-score of -2.30 suggests that the company is unlikely to be a manipulator.


Fidelity National Financial Beneish M-Score Related Terms

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Fidelity National Financial (FRA:F1EF) Business Description

Traded in Other Exchanges
Address
601 Riverside Avenue, Jacksonville, FL, USA, 32204
Fidelity National Financial Inc provides title insurance, escrow, and other title-related services. It operates in three segments: Title, F&G, Corporate and Other. The title segment that derives majority revenue consists of the operations of title insurance underwriters and related businesses, which provide title insurance and escrow and other title-related services including trust activities, trustee sales guarantees, and home warranty products. Substantially all of the company's revenue is generated in the United States.