Dixons Retail Beneish M-Score Historical Data
The historical data trend for Dixons Retail'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.
Dixons Retail Beneish M-Score Chart
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Dixons Retail Annual Data
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Trend |
Apr05 |
Apr06 |
Apr07 |
May08 |
Apr09 |
Apr10 |
Apr11 |
Apr12 |
Apr13 |
Apr14 |
| Beneish M-Score |
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-2.71 |
-3.02 |
-3.57 |
-3.42 |
-3.27 |
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Dixons Retail Semi-Annual Data
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Oct07 |
Oct08 |
Apr09 |
Oct09 |
Apr10 |
Oct10 |
Apr11 |
Oct11 |
Apr12 |
Oct12 |
Apr13 |
Oct13 |
Apr14 |
| Beneish M-Score |
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-3.57 |
- |
-3.42 |
- |
-3.27 |
Competitive Comparison of Dixons Retail's Beneish M-Score
For the Specialty Retail subindustry, Dixons Retail'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.
Dixons Retail's Beneish M-Score Distribution in the Retail - Cyclical Industry
For the Retail - Cyclical industry and Consumer Cyclical sector, Dixons Retail's Beneish M-Score distribution charts can be found below:
* The bar in red indicates where Dixons Retail's Beneish M-Score falls into.
Dixons Retail 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 Dixons Retail 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 * 0.8509 | + | 0.528 * 0.9949 | + | 0.404 * 1.0058 | + | 0.892 * 1.0153 | + | 0.115 * 0.8007 |
| - | 0.172 * SGAI | + | 4.679 * TATA | - | 0.327 * LVGI |
| - | 0.172 * 0.9045 | + | 4.679 * -0.139319 | - | 0.327 * 1.0174 |
| = | -3.27 |
* 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 (Apr14) TTM: | Last Year (Apr13) TTM: |
Total Receivables was £149 Mil.
Revenue was £7,218 Mil.
Gross Profit was £539 Mil.
Total Current Assets was £1,391 Mil.
Total Assets was £2,515 Mil.
Property, Plant and Equipment(Net PPE) was £331 Mil.
Depreciation, Depletion and Amortization(DDA) was £117 Mil.
Selling, General, & Admin. Expense(SGA) was £325 Mil.
Total Current Liabilities was £1,491 Mil.
Long-Term Debt & Capital Lease Obligation was £339 Mil.
Net Income was £-70 Mil.
Gross Profit was £-17 Mil.
Cash Flow from Operations was £298 Mil.
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Total Receivables was £173 Mil.
Revenue was £7,109 Mil.
Gross Profit was £529 Mil.
Total Current Assets was £1,628 Mil.
Total Assets was £3,005 Mil.
Property, Plant and Equipment(Net PPE) was £434 Mil.
Depreciation, Depletion and Amortization(DDA) was £115 Mil.
Selling, General, & Admin. Expense(SGA) was £354 Mil.
Total Current Liabilities was £1,807 Mil.
Long-Term Debt & Capital Lease Obligation was £341 Mil.
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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) |
| = | (149.1 / 7217.7) | / | (172.6 / 7109.2) |
| = | 0.020658 | / | 0.024278 |
| | = | 0.8509 |
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) |
| = | (528.6 / 7109.2) | / | (539.4 / 7217.7) |
| = | 0.074354 | / | 0.074733 |
| | = | 0.9949 |
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 - (1391 + 330.5) / 2515.1) | / | (1 - (1628.1 + 434) / 3004.7) |
| = | 0.315534 | / | 0.313709 |
| | = | 1.0058 |
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 |
| = | 7217.7 | / | 7109.2 |
| | = | 1.0153 |
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)) |
| = | (115 / (115 + 434)) | / | (117.1 / (117.1 + 330.5)) |
| = | 0.209472 | / | 0.261618 |
| | = | 0.8007 |
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) |
| = | (324.7 / 7217.7) | / | (353.6 / 7109.2) |
| = | 0.044987 | / | 0.049738 |
| | = | 0.9045 |
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) |
| = | ((338.5 + 1491.1) / 2515.1) | / | ((341.4 + 1807) / 3004.7) |
| = | 0.727446 | / | 0.715013 |
| | = | 1.0174 |
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 |
| = | (-69.5 - -17.1 | - | 298) | / | 2515.1 |
| | = | -0.139319 |
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.
Dixons Retail has a M-score of -3.27 suggests that the company is unlikely to be a manipulator.
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