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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 -2.49 no higher than -1.78, which implies that the company is unlikely to be a manipulator.
The historical rank and industry rank for ProAssurance's Beneish M-Score or its related term are showing as below:
During the past 13 years, the highest Beneish M-Score of ProAssurance was -1.68. The lowest was -2.91. And the median was -2.47.
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 ProAssurance 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 * 0.9873 | + | 0.528 * 1 | + | 0.404 * 0.9126 | + | 0.892 * 1.026 | + | 0.115 * 1.0846 | |
- | 0.172 * SGAI | + | 4.679 * TATA | - | 0.327 * LVGI | |||||||
- | 0.172 * 1 | + | 4.679 * 8.9E-5 | - | 0.327 * 0.9968 | |||||||
= | -2.49 |
* 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 $702 Mil. Revenue was $1,130 Mil. Gross Profit was $1,130 Mil. Total Current Assets was $4,498 Mil. Total Assets was $5,632 Mil. Property, Plant and Equipment(Net PPE) was $16 Mil. Depreciation, Depletion and Amortization(DDA) was $26 Mil. Selling, General, & Admin. Expense(SGA) was $0 Mil. Total Current Liabilities was $149 Mil. Long-Term Debt & Capital Lease Obligation was $319 Mil. Net Income was $-39 Mil. Gross Profit was $11 Mil. Cash Flow from Operations was $-50 Mil. |
Total Receivables was $693 Mil. Revenue was $1,102 Mil. Gross Profit was $1,102 Mil. Total Current Assets was $4,441 Mil. Total Assets was $5,700 Mil. Property, Plant and Equipment(Net PPE) was $19 Mil. Depreciation, Depletion and Amortization(DDA) was $38 Mil. Selling, General, & Admin. Expense(SGA) was $0 Mil. Total Current Liabilities was $29 Mil. Long-Term Debt & Capital Lease Obligation was $447 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) |
= | (702.264 / 1130.421) | / | (693.296 / 1101.8) | |
= | 0.621241 | / | 0.629239 | |
= | 0.9873 |
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) | |
= | (1101.8 / 1101.8) | / | (1130.421 / 1130.421) | |
= | 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 - (4497.544 + 16.275) / 5631.925) | / | (1 - (4441.04 + 18.987) / 5699.999) | |
= | 0.19853 | / | 0.217539 | |
= | 0.9126 |
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 | |
= | 1130.421 | / | 1101.8 | |
= | 1.026 |
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)) |
= | (38.063 / (38.063 + 18.987)) | / | (26.015 / (26.015 + 16.275)) | |
= | 0.667187 | / | 0.615157 | |
= | 1.0846 |
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 / 1130.421) | / | (0 / 1101.8) | |
= | 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) |
= | ((319.312 + 149.019) / 5631.925) | / | ((446.991 + 28.514) / 5699.999) | |
= | 0.083156 | / | 0.083422 | |
= | 0.9968 |
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 | |
= | (-38.604 - 10.777 | - | -49.885) | / | 5631.925 | |
= | 8.9E-5 |
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.
ProAssurance has a M-score of -2.49 suggests that the company is unlikely to be a manipulator.
Thank you for viewing the detailed overview of ProAssurance's Beneish M-Score provided by GuruFocus.com. Please click on the following links to see related term pages.
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Scott C Syphax | director | 100 BROOKWOOD PLACE, SUITE 300, BIRMINGHAM AL 35209 |
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Frank Anthony Spinosa | director | PO BOX 72, SHELTER ISLAND NY 11964 |
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Kevin Merrick Shook | officer: President of a Subsidiary | 25 RACE AVENUE, LANCASTER PA 17603 |
Dana S Hendricks | officer: Chief Financial Officer | 656 AYLESFORD LANE, FRANKLIN TN 37069 |
Magnus James Gorrie | director | PO BOX 10383, BIRMINGHAM AL 35202 |
Adkins Kedrick D Jr | director | 1173 COPPERWOOD DRIVE, BLOOMFIELD HILLS MI 48302 |
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Howard H Friedman | officer: Chief Financial Officer, other: Secretary & Senior VP | |
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Jeffrey Patton Lisenby | officer: Vice-President, other: Corporate Secretary | 100 BROOKWOOD PLACE, BIRMINGHAM AL 35209 |
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