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American Coastal Insurance (American Coastal Insurance) Beneish M-Score : -1.54 (As of Apr. 25, 2024)


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What is American Coastal Insurance 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.

Warning Sign:

Beneish M-Score -1.54 higher than -1.78, which implies that the company might have manipulated its financial results.

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

ACIC' s Beneish M-Score Range Over the Past 10 Years
Min: -2.77   Med: -2.37   Max: 1.82
Current: -1.54

During the past 13 years, the highest Beneish M-Score of American Coastal Insurance was 1.82. The lowest was -2.77. And the median was -2.37.


American Coastal Insurance 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 American Coastal Insurance 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 * 0.4375+0.528 * 1+0.404 * 0.5192+0.892 * 1.0621+0.115 * 1.0955
-0.172 * SGAI+4.679 * TATA-0.327 * LVGI
-0.172 * 0.6567+4.679 * 0.420447-0.327 * 2.3624
=-1.54

* 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 $388.4 Mil.
Revenue was 58.214 + 58.714 + 79.295 + 90.32 = $286.5 Mil.
Gross Profit was 58.214 + 58.714 + 79.295 + 90.32 = $286.5 Mil.
Total Current Assets was $722.8 Mil.
Total Assets was $1,060.4 Mil.
Property, Plant and Equipment(Net PPE) was $3.7 Mil.
Depreciation, Depletion and Amortization(DDA) was $10.6 Mil.
Selling, General, & Admin. Expense(SGA) was $29.5 Mil.
Total Current Liabilities was $75.6 Mil.
Long-Term Debt & Capital Lease Obligation was $149.5 Mil.
Net Income was 14.284 + 10.568 + 17.779 + 267.28 = $309.9 Mil.
Non Operating Income was 0.027 + 0.018 + 0.018 + 0.016 = $0.1 Mil.
Cash Flow from Operations was 48.886 + 47.934 + -128.659 + -104.164 = $-136.0 Mil.
Total Receivables was $835.8 Mil.
Revenue was 74.697 + 72.752 + 63.91 + 58.432 = $269.8 Mil.
Gross Profit was 74.697 + 72.752 + 63.91 + 58.432 = $269.8 Mil.
Total Current Assets was $1,111.4 Mil.
Total Assets was $2,837.5 Mil.
Property, Plant and Equipment(Net PPE) was $5.3 Mil.
Depreciation, Depletion and Amortization(DDA) was $23.3 Mil.
Selling, General, & Admin. Expense(SGA) was $42.3 Mil.
Total Current Liabilities was $104.9 Mil.
Long-Term Debt & Capital Lease Obligation was $150.0 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)
=(388.376 / 286.543) / (835.847 / 269.791)
=1.355385 / 3.098128
=0.4375

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)
=(269.791 / 269.791) / (286.543 / 286.543)
=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 - (722.841 + 3.658) / 1060.383) / (1 - (1111.432 + 5.293) / 2837.496)
=0.314871 / 0.60644
=0.5192

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
=286.543 / 269.791
=1.0621

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))
=(23.312 / (23.312 + 5.293)) / (10.626 / (10.626 + 3.658))
=0.814962 / 0.743909
=1.0955

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)
=(29.489 / 286.543) / (42.281 / 269.791)
=0.102913 / 0.156718
=0.6567

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)
=((149.464 + 75.601) / 1060.383) / ((150.044 + 104.889) / 2837.496)
=0.212249 / 0.089844
=2.3624

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
=(309.911 - 0.079 - -136.003) / 1060.383
=0.420447

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.

American Coastal Insurance has a M-score of -1.54 signals that the company is likely to be a manipulator.


American Coastal Insurance Beneish M-Score Related Terms

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American Coastal Insurance (American Coastal Insurance) Business Description

Traded in Other Exchanges
Address
800 2nd Avenue South, Saint Petersburg, FL, USA, 33701
American Coastal Insurance Corp is a holding company that underwrites commercial residential property and casualty insurance policies in the United States through its wholly-owned insurance subsidiary.
Executives
Patrick Maroney director 800 2ND AVE S, ST PETERSBURG FL 33701
Kern Michael Davis 10 percent owner 6334 BAHAMA SHORES DR, S, ST. PETERSBURG FL 33705
Hood Iii William H. 10 percent owner 3962 TARIAN CT, PALM HARBOR FL 34684
Alec Ii Poitevint director 360 CENTRAL AVENUE, SUITE 900, SAINT PETERSBURG FL 33701
Christopher Griffith officer: Chief Information Officer 800 2ND AVE S, ST PETERSBURG FL 33701
Kent G Whittemore director 360 CENTRAL AVENUE, SUITE 900, SAINT PETERSBURG FL 33701
Brad Martz officer: Chief Financial Officer C/O UNITED INSURANCE HOLDINGS CORP., 360 CENTRAL AVE., SUITE 900, ST. PETERSBURG FL 33701
Sherrill W Hudson director 201 SOUTH BISCAYNE BOULEVARD, 34TH FLOOR, MIAMI CENTER, MIAMI FL 33131
Michael Hogan director 1359 21ST AVENUE N., SUITE 105, MYRTLE BEACH SC 29577
Gregory C Branch director, 10 percent owner, other: Chairman of the Board 360 CENTRAL AVENUE, SUITE 900, SAINT PETERBURG FL 33701
Brooke Shirazi officer: Chief Underwriting Officer 800 2ND AVE S, ST. PETERSBURG FL 33701
John Scott St officer: Chief Claims Officer 800 2ND AVE S, ST PETERSBURG FL 33701
Brooke Adler officer: Chief Legal Officer 800 2ND AVE S, ST PETERSBURG FL 33701
Alycia Weigley officer: Chief Talent Officer 800 2ND AVE S, ST. PETERSBURG FL 33701
Christian Dittman officer: Chief Risk Officer 800 2ND AVE S, ST PETERSBURG FL 33701