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Fidelis Insurance Holdings (FRA:U0K) Beneish M-Score : -1.85 (As of May. 26, 2024)


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What is Fidelis Insurance Holdings 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 -1.85 no higher than -1.78, which implies that the company is unlikely to be a manipulator.

The historical rank and industry rank for Fidelis Insurance Holdings's Beneish M-Score or its related term are showing as below:

FRA:U0K' s Beneish M-Score Range Over the Past 10 Years
Min: -1.85   Med: -1.66   Max: -1.46
Current: -1.85

During the past 5 years, the highest Beneish M-Score of Fidelis Insurance Holdings was -1.46. The lowest was -1.85. And the median was -1.66.


Fidelis Insurance Holdings 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 Fidelis Insurance Holdings 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 * 1.8843+0.528 * 1+0.404 * 1+0.892 * 0.6202+0.115 * 1
-0.172 * SGAI+4.679 * TATA-0.327 * LVGI
-0.172 * 0.9399+4.679 * 0.020826-0.327 * 0.834
=-1.84

* 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 €4,036 Mil.
Revenue was 480.7 + 503.25 + 505.886 + 418.211 = €1,908 Mil.
Gross Profit was 480.7 + 503.25 + 505.886 + 418.211 = €1,908 Mil.
Total Current Assets was €0 Mil.
Total Assets was €10,365 Mil.
Property, Plant and Equipment(Net PPE) was €0 Mil.
Depreciation, Depletion and Amortization(DDA) was €0 Mil.
Selling, General, & Admin. Expense(SGA) was €83 Mil.
Total Current Liabilities was €0 Mil.
Long-Term Debt & Capital Lease Obligation was €413 Mil.
Net Income was 74.704 + 209.351 + 82.175 + 77.44 = €444 Mil.
Non Operating Income was 0 + -0.092 + 0 + -3.046 = €-3 Mil.
Cash Flow from Operations was 0 + 0 + 0 + 230.935 = €231 Mil.
Total Receivables was €3,454 Mil.
Revenue was 1914.98 + 407.43 + 441.37 + 312.937 = €3,077 Mil.
Gross Profit was 1914.98 + 407.43 + 441.37 + 312.937 = €3,077 Mil.
Total Current Assets was €0 Mil.
Total Assets was €8,763 Mil.
Property, Plant and Equipment(Net PPE) was €0 Mil.
Depreciation, Depletion and Amortization(DDA) was €1 Mil.
Selling, General, & Admin. Expense(SGA) was €142 Mil.
Total Current Liabilities was €0 Mil.
Long-Term Debt & Capital Lease Obligation was €418 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)
=(4035.948 / 1908.047) / (3453.745 / 3076.717)
=2.115225 / 1.122542
=1.8843

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)
=(3076.717 / 3076.717) / (1908.047 / 1908.047)
=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) / 10365.364) / (1 - (0 + 0) / 8762.975)
=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
=1908.047 / 3076.717
=0.6202

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))
=(1.039 / (1.039 + 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)
=(82.874 / 1908.047) / (142.182 / 3076.717)
=0.043434 / 0.046212
=0.9399

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)
=((412.528 + 0) / 10365.364) / ((418.152 + 0) / 8762.975)
=0.039799 / 0.047718
=0.834

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
=(443.67 - -3.138 - 230.935) / 10365.364
=0.020826

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.

Fidelis Insurance Holdings has a M-score of -1.84 suggests that the company is unlikely to be a manipulator.


Fidelis Insurance Holdings Beneish M-Score Related Terms

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Fidelis Insurance Holdings (FRA:U0K) Business Description

Traded in Other Exchanges
Address
100 Pitts Bay Road, Waterloo House, Pembroke, BMU, HM08
Fidelis Insurance Holdings Ltd is a global (re)insurance company. It classify the business into three underwriting segments, namely Bespoke, Specialty and Reinsurance. Specialty primarily comprises property D&F, energy, marine and aviation lines. Bespoke primarily comprises credit and political risk and other tailored solutions for clients including transactional liabilities and credit insurance. Reinsurance primarily comprises property reinsurance.