George Weston Beneish M-Score Historical Data
The historical data trend for George Weston'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.
George Weston Beneish M-Score Chart
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George Weston Annual Data
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Trend |
Dec14 |
Dec15 |
Dec16 |
Dec17 |
Dec18 |
Dec19 |
Dec20 |
Dec21 |
Dec22 |
Dec23 |
| Beneish M-Score |
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-2.94 |
-3.02 |
-2.85 |
-2.69 |
-2.88 |
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George Weston Quarterly Data
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Mar19 |
Jun19 |
Sep19 |
Dec19 |
Mar20 |
Jun20 |
Sep20 |
Dec20 |
Mar21 |
Jun21 |
Sep21 |
Dec21 |
Mar22 |
Jun22 |
Sep22 |
Dec22 |
Mar23 |
Jun23 |
Sep23 |
Dec23 |
| Beneish M-Score |
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-2.69 |
-2.67 |
-2.75 |
-2.86 |
-2.88 |
Competitive Comparison of George Weston's Beneish M-Score
For the Grocery Stores subindustry, George Weston'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.
George Weston's Beneish M-Score Distribution in the Retail - Defensive Industry
For the Retail - Defensive industry and Consumer Defensive sector, George Weston's Beneish M-Score distribution charts can be found below:
* The bar in red indicates where George Weston's Beneish M-Score falls into.
George Weston 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 George Weston 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 * 1 | + | 0.528 * 0.9953 | + | 0.404 * 0.963 | + | 0.892 * 1.0539 | + | 0.115 * 1.0077 |
| - | 0.172 * SGAI | + | 4.679 * TATA | - | 0.327 * LVGI |
| - | 0.172 * 1.0359 | + | 4.679 * -0.090476 | - | 0.327 * 1.0111 |
| = | -2.88 |
* 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 C$5,509 Mil.
Revenue was 14700 + 18407 + 13884 + 13133 = C$60,124 Mil.
Gross Profit was 4821 + 5873 + 4572 + 4345 = C$19,611 Mil.
Total Current Assets was C$14,936 Mil.
Total Assets was C$49,770 Mil.
Property, Plant and Equipment(Net PPE) was C$16,265 Mil.
Depreciation, Depletion and Amortization(DDA) was C$2,530 Mil.
Selling, General, & Admin. Expense(SGA) was C$15,248 Mil.
Total Current Liabilities was C$12,072 Mil.
Long-Term Debt & Capital Lease Obligation was C$17,204 Mil.
Net Income was -28 + 624 + 508 + 436 = C$1,540 Mil.
Non Operating Income was 0 + 0 + 0 + 192 = C$192 Mil.
Cash Flow from Operations was 1513 + 2100 + 1324 + 914 = C$5,851 Mil.
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Total Receivables was C$5,227 Mil.
Revenue was 14142 + 17520 + 12979 + 12407 = C$57,048 Mil.
Gross Profit was 4555 + 5606 + 4286 + 4073 = C$18,520 Mil.
Total Current Assets was C$14,653 Mil.
Total Assets was C$48,958 Mil.
Property, Plant and Equipment(Net PPE) was C$15,338 Mil.
Depreciation, Depletion and Amortization(DDA) was C$2,407 Mil.
Selling, General, & Admin. Expense(SGA) was C$13,967 Mil.
Total Current Liabilities was C$10,757 Mil.
Long-Term Debt & Capital Lease Obligation was C$17,724 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) |
| = | (5509 / 60124) | / | (5227 / 57048) |
| = | 0.091627 | / | 0.091625 |
| | = | 1 |
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) |
| = | (18520 / 57048) | / | (19611 / 60124) |
| = | 0.324639 | / | 0.326176 |
| | = | 0.9953 |
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 - (14936 + 16265) / 49770) | / | (1 - (14653 + 15338) / 48958) |
| = | 0.373096 | / | 0.387414 |
| | = | 0.963 |
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 |
| = | 60124 | / | 57048 |
| | = | 1.0539 |
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)) |
| = | (2407 / (2407 + 15338)) | / | (2530 / (2530 + 16265)) |
| = | 0.135644 | / | 0.13461 |
| | = | 1.0077 |
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) |
| = | (15248 / 60124) | / | (13967 / 57048) |
| = | 0.253609 | / | 0.244829 |
| | = | 1.0359 |
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) |
| = | ((17204 + 12072) / 49770) | / | ((17724 + 10757) / 48958) |
| = | 0.588226 | / | 0.581744 |
| | = | 1.0111 |
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 |
| = | (1540 - 192 | - | 5851) | / | 49770 |
| | = | -0.090476 |
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.
George Weston has a M-score of -2.88 suggests that the company is unlikely to be a manipulator.
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