Fortune Industries, Beneish M-Score Historical Data
The historical data trend for Fortune Industries,'s Beneish M-Score can be seen below:
* 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.
Fortune Industries, Beneish M-Score Chart
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Fortune Industries, Annual Data
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| Beneish M-Score |
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-3.34 |
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-2.61 |
-2.91 |
-2.14 |
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Fortune Industries, Quarterly Data
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| Beneish M-Score |
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-2.29 |
-2.14 |
-2.75 |
-2.60 |
-3.65 |
Competitive Comparison of Fortune Industries,'s Beneish M-Score
For the Staffing & Employment Services subindustry, Fortune Industries,'s Beneish M-Score, along with its competitors' market caps and Beneish M-Score data, can be viewed below:
* Competitive companies are chosen from companies within the same industry, with headquarter located in same country, with closest market capitalization; x-axis shows the market cap, and y-axis shows the term value; the bigger the dot, the larger the market cap. Note that "N/A" values will not show up in the chart.
Fortune Industries,'s Beneish M-Score Distribution in the Business Services Industry
For the Business Services industry and Industrials sector, Fortune Industries,'s Beneish M-Score distribution charts can be found below:
* The bar in red indicates where Fortune Industries,'s Beneish M-Score falls into.
Fortune Industries, 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 Fortune Industries, 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 * 0.8425 | + | 0.528 * 0.879 | + | 0.404 * 0.8386 | + | 0.892 * 0.9547 | + | 0.115 * 0.9878 |
| - | 0.172 * SGAI | + | 4.679 * TATA | - | 0.327 * LVGI |
| - | 0.172 * 1.0943 | + | 4.679 * -0.171242 | - | 0.327 * 1.0322 |
| = | -3.62 |
* 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.
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) |
| = | (1.78 / 43.976) | / | (2.213 / 46.064) |
| = | 0.040477 | / | 0.048042 |
| | = | 0.8425 |
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) |
| = | (9.542 / 46.064) | / | (10.364 / 43.976) |
| = | 0.207147 | / | 0.235674 |
| | = | 0.879 |
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 - (10.997 + 0.117) / 20.036) | / | (1 - (10.478 + 0.121) / 22.6) |
| = | 0.445298 | / | 0.531018 |
| | = | 0.8386 |
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 |
| = | 43.976 | / | 46.064 |
| | = | 0.9547 |
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)) |
| = | (0.396 / (0.396 + 0.121)) | / | (0.404 / (0.404 + 0.117)) |
| = | 0.765957 | / | 0.775432 |
| | = | 0.9878 |
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) |
| = | (7.834 / 43.976) | / | (7.499 / 46.064) |
| = | 0.178143 | / | 0.162795 |
| | = | 1.0943 |
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) |
| = | ((0 + 7.056) / 20.036) | / | ((0 + 7.711) / 22.6) |
| = | 0.352166 | / | 0.341195 |
| | = | 1.0322 |
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 |
| = | (-1.019 - -0.049 | - | 2.461) | / | 20.036 |
| | = | -0.171242 |
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.
Fortune Industries, has a M-score of -3.62 suggests that the company is unlikely to be a manipulator.
Fortune Industries, (FRA:FD9A) Business Description
Traded in Other Exchanges
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Address
Fortune Industries Inc Fortune Industries, Inc. was incorporated in the state of Delaware in 1988, restructured in 2000 and redomesticated to the state of Indiana in May 2005. The Company provides full service human resources outsourcing services through co-employment relationships with their clients. Effective November 30, 2008, the Company approved the sale of all of the remaining operating subsidiaries within four of the five segments, as Wireless Infrastructure, Transportation Infrastructure, Ultraviolet Technologies, and Electronics Integration, to a related party. Consequently, as of the effective date of the transaction, the Business Solutions segment is the Company's remaining operating segment. The Business Solutions segment is comprised of Professional Employer Organizations (PEOs) which provide full-service human resources outsourcing services through co-employment relationships with their clients. Companies operating in the Business Solutions Segment include Professional Staff Management, Inc. and subsidiaries (PSM); CSM, Inc. and subsidiaries and related entities (CSM); Precision Employee Management, LLC (PEM); and Employer Solutions Group, Inc. and related entities (ESG). The Companies in the Business Solutions segment bill their clients under Professional Services Agreements as licensed PEOs. The billing includes amounts for the client's gross wages, payroll taxes, employee benefits, workers' compensation insurance and an administration fee. The administration fee charged by the companies in this segment is typically a percentage of the gross payroll and is sufficient to allow the companies in this segment to provide payroll administration services, human resources consulting services, worksite safety training, and employment regulatory compliance for no additional fees. The Companies in the Business Solutions segment compete with other PEOs, third-party payroll processing and human resources consulting companies, and in-house human resources divisions. The Company's Business Solutions segment is subject to various federal, state and local laws and regulations pertaining to various employee benefit plans, employee retirement plans, Section 125 cafeteria plans, group health plans, welfare benefit plans and health care flexible spending accounts.
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