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White Mountains Insurance Group (White Mountains Insurance Group) Beneish M-Score

: -1.99 (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 -1.99 no higher than -1.78, which implies that the company is unlikely to be a manipulator.

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

WTM' s Beneish M-Score Range Over the Past 10 Years
Min: -3.77   Med: -1.76   Max: 7.78
Current: -1.99

During the past 13 years, the highest Beneish M-Score of White Mountains Insurance Group was 7.78. The lowest was -3.77. And the median was -1.76.


White Mountains Insurance Group 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 White Mountains Insurance Group 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 * 0.4942+0.528 * 1+0.404 * 0.9946+0.892 * 1.8712+0.115 * 1
-0.172 * SGAI+4.679 * TATA-0.327 * LVGI
-0.172 * 0.632+4.679 * 0.002492-0.327 * 0.6886
=-1.99

* 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 $1,060 Mil.
Revenue was 736.8 + 519.6 + 378.4 + 531.9 = $2,167 Mil.
Gross Profit was 736.8 + 519.6 + 378.4 + 531.9 = $2,167 Mil.
Total Current Assets was $2,670 Mil.
Total Assets was $8,386 Mil.
Property, Plant and Equipment(Net PPE) was $0 Mil.
Depreciation, Depletion and Amortization(DDA) was $-18 Mil.
Selling, General, & Admin. Expense(SGA) was $450 Mil.
Total Current Liabilities was $81 Mil.
Long-Term Debt & Capital Lease Obligation was $565 Mil.
Net Income was 286.5 + 23.6 + 19.6 + 179.5 = $509 Mil.
Non Operating Income was 16.2 + 19.5 + 19.8 + 28.7 = $84 Mil.
Cash Flow from Operations was 24.5 + 222.9 + 71.1 + 85.6 = $404 Mil.
Total Receivables was $1,146 Mil.
Revenue was 437.6 + 383.2 + 76.7 + 260.4 = $1,158 Mil.
Gross Profit was 437.6 + 383.2 + 76.7 + 260.4 = $1,158 Mil.
Total Current Assets was $2,325 Mil.
Total Assets was $7,389 Mil.
Property, Plant and Equipment(Net PPE) was $0 Mil.
Depreciation, Depletion and Amortization(DDA) was $4 Mil.
Selling, General, & Admin. Expense(SGA) was $380 Mil.
Total Current Liabilities was $251 Mil.
Long-Term Debt & Capital Lease Obligation was $575 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)
=(1059.7 / 2166.7) / (1146 / 1157.9)
=0.489085 / 0.989723
=0.4942

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)
=(1157.9 / 1157.9) / (2166.7 / 2166.7)
=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 - (2670 + 0) / 8385.9) / (1 - (2325.1 + 0) / 7389.3)
=0.681608 / 0.685342
=0.9946

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
=2166.7 / 1157.9
=1.8712

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))
=(4.3 / (4.3 + 0)) / (-17.8 / (-17.8 + 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)
=(449.9 / 2166.7) / (380.4 / 1157.9)
=0.207643 / 0.328526
=0.632

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)
=((564.6 + 81.1) / 8385.9) / ((575.2 + 251.1) / 7389.3)
=0.076998 / 0.111824
=0.6886

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
=(509.2 - 84.2 - 404.1) / 8385.9
=0.002492

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.

White Mountains Insurance Group has a M-score of -1.99 suggests that the company is unlikely to be a manipulator.


White Mountains Insurance Group Beneish M-Score Related Terms

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White Mountains Insurance Group (White Mountains Insurance Group) Business Description

Traded in Other Exchanges
Address
23 South Main Street, Suite 3B, Hanover, NH, USA, 03755-2053
White Mountains Insurance Group Ltd is engaged in the business of making opportunistic and value-oriented acquisitions of businesses and assets in the insurance, financial services and related sectors, operating these businesses and assets through its subsidiaries and, if and when attractive exit valuations become available, disposing of these businesses and assets. The company conducts its business in four areas: municipal bond insurance, property and casualty insurance and reinsurance, capital solutions for asset and wealth management firms and other operations. White Mountains's municipal bond insurance business is conducted through its subsidiary HG Global Ltd. and its reinsurance subsidiary HG Re Ltd.
Executives
Weston M Hicks director C/O ALLEGHANY CORPORATION, 1411 BROADWAY, 34TH FLOOR, NEW YORK NY 10018
Steven Yi director 700 SOUTH FLOWER STREET, SUITE 640, LOS ANGELES CA 90017
Michaela Hildreth officer: Chief Accounting Officer 23 S MAIN STREET, SUITE 3B, HANOVER NH 03755
Peter M Carlson director BRIGHTHOUSE FINANCIAL, INC., 11225 NORTH COMMUNITY HOUSE ROAD, CHARLOTTE NC 28277
Morgan W Davis director 80 SOUTH MAIN STREET, HANOVER NH 03755
Suzanne F. Shank director C/O PENSARE SPONSOR GROUP, LLC, 1720 PEACHTREE STREET, SUITE 629, ATLANTA GA 30309
Mary C Choksi director
Philip A Gelston director 80 SOUTH MAIN ST, C/O WHITE MOUNTAINS, HANOVER NH 03755
David Allen Tanner director C/O ARLON GROUP LLC, 277 PARK AVE, NEW YORK NY 10172
Margaret Dillon director C/O GUIDEWIRE SOFTWARE, INC., 2850 DELAWARE ST. STE 400, SAN MATEO CA 94403
Liam P Caffrey officer: EVP & Chief Financial Officer 23 S MAIN STREET, STE. 3B, HANOVER NH 03755
Robert Lawrence Seelig officer: EVP & General Counsel
George Manning Rountree director, officer: Chief Executive Officer C/O 80 SOUTH MAIN STREET, HANOVER NH 03755
Reid Tarlton Campbell officer: EVP & Chief Financial Officer C/O WHITE MOUNTAINS INSURANCE GROUP, 80 SOUTH MAIN STREET, HANOVER NH 03755
Lowndes Andrew Smith director C/O WHITE MOUNTIAN INSURANCE GROUP, 80 S MIAN ST, HANOVER NH 03755