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SiriusPoint (SiriusPoint) Beneish M-Score : -2.55 (As of Apr. 30, 2024)


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What is SiriusPoint 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 -2.55 no higher than -1.78, which implies that the company is unlikely to be a manipulator.

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

SPNT' s Beneish M-Score Range Over the Past 10 Years
Min: -3.45   Med: -2.45   Max: -0.66
Current: -2.55

During the past 13 years, the highest Beneish M-Score of SiriusPoint was -0.66. The lowest was -3.45. And the median was -2.45.


SiriusPoint 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 SiriusPoint 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 * 1.0248+0.528 * 1+0.404 * 0.6197+0.892 * 1.2739+0.115 * 1
-0.172 * SGAI+4.679 * TATA-0.327 * LVGI
-0.172 * 1+4.679 * -0.019252-0.327 * 1.2953
=-2.55

* 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 $4,312 Mil.
Revenue was 626.6 + 704.4 + 750.5 + 684.8 = $2,766 Mil.
Gross Profit was 626.6 + 704.4 + 750.5 + 684.8 = $2,766 Mil.
Total Current Assets was $10,409 Mil.
Total Assets was $12,872 Mil.
Property, Plant and Equipment(Net PPE) was $0 Mil.
Depreciation, Depletion and Amortization(DDA) was $11 Mil.
Selling, General, & Admin. Expense(SGA) was $0 Mil.
Total Current Liabilities was $2,021 Mil.
Long-Term Debt & Capital Lease Obligation was $786 Mil.
Net Income was 97.5 + 61.5 + 70.3 + 142.6 = $372 Mil.
Non Operating Income was 2.8 + 21.5 + -1.7 + 15.8 = $38 Mil.
Cash Flow from Operations was 213.4 + 161.6 + 112.1 + 94.2 = $581 Mil.
Total Receivables was $3,303 Mil.
Revenue was 612.1 + 649.1 + 529.6 + 380.8 = $2,172 Mil.
Gross Profit was 612.1 + 649.1 + 529.6 + 380.8 = $2,172 Mil.
Total Current Assets was $7,629 Mil.
Total Assets was $11,036 Mil.
Property, Plant and Equipment(Net PPE) was $0 Mil.
Depreciation, Depletion and Amortization(DDA) was $8 Mil.
Selling, General, & Admin. Expense(SGA) was $0 Mil.
Total Current Liabilities was $1,080 Mil.
Long-Term Debt & Capital Lease Obligation was $778 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)
=(4312.3 / 2766.3) / (3303.2 / 2171.6)
=1.558869 / 1.52109
=1.0248

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)
=(2171.6 / 2171.6) / (2766.3 / 2766.3)
=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 - (10408.5 + 0) / 12871.5) / (1 - (7628.6 + 0) / 11036.3)
=0.191353 / 0.308772
=0.6197

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
=2766.3 / 2171.6
=1.2739

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))
=(8.1 / (8.1 + 0)) / (11.1 / (11.1 + 0))
=1 / 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)
=(0 / 2766.3) / (0 / 2171.6)
=0 / 0
=1

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)
=((786.2 + 2021) / 12871.5) / ((778 + 1080.2) / 11036.3)
=0.218094 / 0.168372
=1.2953

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
=(371.9 - 38.4 - 581.3) / 12871.5
=-0.019252

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.

SiriusPoint has a M-score of -2.55 suggests that the company is unlikely to be a manipulator.


SiriusPoint Beneish M-Score Related Terms

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SiriusPoint (SiriusPoint) Business Description

Traded in Other Exchanges
Address
3 Waterloo Lane, Point Building, Pembroke, BMU, HM 08
SiriusPoint Ltd provides property and casualty reinsurance coverage to insurance and reinsurance companies in the United States, Bermuda, the United Kingdom, and Europe. The company operates through two operating segments: Reinsurance and Insurance & Services. The company's product portfolio consists of reinsurance contracts for property insurance including both residential and commercial properties, workers' compensation, personal automobile, businesses' general liability insurance, professional liability insurance to protect professional advisors and service providers, agriculture insurance, and mortgage insurance.
Executives
Wei Han Tan director SUITE 1307, BEA TOWER, 66 HUA YUAN SHI QIAO ROAD, SHANGHAI F4 200120
De La Gueronniere Rafe director THE WATERFRONT, CHESNEY HOUSE, 96 PITTS BAY ROAD, PEMBROKE D0 HM 08
Mehdi Mahmud director 1345 AVENUES OF AMERICAS, 48TH FLOOR, NEW YORK NY 10105
Daniel S Loeb director THIRD POINT LLC, 390 PARK AVENUE, NEW YORK NY 10022
Bronislaw Edmund Masojada director POINT BUILDING, 3 WATERLOO LANE, PEMBROKE D0 HM 08
Robin Gibbs officer: CEO, SiriusPoint International POINT BUILDING, 3 WATERLOO LANE, PEMBROKE D0 HM 08
Gretchen A. Hayes director POINT HOUSE, 3 WATERLOO LANE, PEMBROKE D0 HM 08
Stephen Yendall officer: Chief Financial Officer POINT BUILDING, 3 WATERLOO LANE, PEMBROKE D0 HM 08
Scott Egan director, officer: Chief Executive Officer POINT BUILDING, 3 WATERLOO LANE, PEMBROKE D0 HM 08
Jason Robart director POINT BUILDING, 3 WATERLOO LANE, PEMBROKE D0 HM 08
Andreas Kull officer: Chief Risk Officer POINT BUILDING, 3 WATERLOO LANE, PEMBROKE D0 HM 08
Daniel V. Malloy officer: EVP, Underwriting THE WATERFRONT, CHESNEY HOUSE, 96 PITTS BAY ROAD, PEMBROKE D0 HM 08
Anthony L Lehan officer: Chief Accounting Officer POINT HOUSE, 3 WATERLOO LANE, PEMBROKE D0 HM 08
Ming Zhang officer: Chief Investment Officer POINT HOUSE, 3 WATERLOO LANE, PEMBROKE D0 HM 08
Franklin Iv Montross director POINT HOUSE, 3 WATERLOO LANE, PEMBROKE D0 HM 08