Best Buy Co Beneish M-Score Historical Data
The historical data trend for Best Buy Co'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.
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Best Buy Co Annual Data
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Trend |
Jan15 |
Jan16 |
Jan17 |
Jan18 |
Jan19 |
Jan20 |
Jan21 |
Jan22 |
Jan23 |
Jan24 |
| Beneish M-Score |
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-2.63 |
-3.31 |
-2.61 |
-2.42 |
-2.66 |
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Best Buy Co Quarterly Data
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Apr19 |
Jul19 |
Oct19 |
Jan20 |
Apr20 |
Jul20 |
Oct20 |
Jan21 |
Apr21 |
Jul21 |
Oct21 |
Jan22 |
Apr22 |
Jul22 |
Oct22 |
Jan23 |
Apr23 |
Jul23 |
Oct23 |
Jan24 |
| Beneish M-Score |
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-2.42 |
-2.85 |
-2.90 |
-2.91 |
-2.66 |
Competitive Comparison
For the Specialty Retail subindustry, Best Buy Co'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.
Best Buy Co Beneish M-Score Distribution
For the Retail - Cyclical industry and Consumer Cyclical sector, Best Buy Co's Beneish M-Score distribution charts can be found below:
* The bar in red indicates where Best Buy Co's Beneish M-Score falls into.
Best Buy Co 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 Best Buy Co 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 * 0.8769 | + | 0.528 * 0.9687 | + | 0.404 * 1.1385 | + | 0.892 * 0.9385 | + | 0.115 * 0.9822 |
| - | 0.172 * SGAI | + | 4.679 * TATA | - | 0.327 * LVGI |
| - | 0.172 * 1.0529 | + | 4.679 * -0.011692 | - | 0.327 * 0.9663 |
| = | -2.66 |
* 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 (Jan24) TTM: | Last Year (Jan23) TTM: |
Total Receivables was $939 Mil.
Revenue was 14646 + 9756 + 9583 + 9467 = $43,452 Mil.
Gross Profit was 3001 + 2232 + 2220 + 2150 = $9,603 Mil.
Total Current Assets was $7,897 Mil.
Total Assets was $14,967 Mil.
Property, Plant and Equipment(Net PPE) was $5,018 Mil.
Depreciation, Depletion and Amortization(DDA) was $923 Mil.
Selling, General, & Admin. Expense(SGA) was $7,876 Mil.
Total Current Liabilities was $7,909 Mil.
Long-Term Debt & Capital Lease Obligation was $3,351 Mil.
Net Income was 460 + 263 + 274 + 244 = $1,241 Mil.
Non Operating Income was -132 + 8 + 40 + 30 = $-54 Mil.
Cash Flow from Operations was 1180 + 109 + 512 + -331 = $1,470 Mil.
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Total Receivables was $1,141 Mil.
Revenue was 14735 + 10587 + 10329 + 10647 = $46,298 Mil.
Gross Profit was 2940 + 2332 + 2287 + 2353 = $9,912 Mil.
Total Current Assets was $8,802 Mil.
Total Assets was $15,803 Mil.
Property, Plant and Equipment(Net PPE) was $5,098 Mil.
Depreciation, Depletion and Amortization(DDA) was $918 Mil.
Selling, General, & Admin. Expense(SGA) was $7,970 Mil.
Total Current Liabilities was $8,979 Mil.
Long-Term Debt & Capital Lease Obligation was $3,324 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) |
| = | (939 / 43452) | / | (1141 / 46298) |
| = | 0.02161 | / | 0.024645 |
| | = | 0.8769 |
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) |
| = | (9912 / 46298) | / | (9603 / 43452) |
| = | 0.214091 | / | 0.221002 |
| | = | 0.9687 |
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 - (7897 + 5018) / 14967) | / | (1 - (8802 + 5098) / 15803) |
| = | 0.137102 | / | 0.12042 |
| | = | 1.1385 |
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 |
| = | 43452 | / | 46298 |
| | = | 0.9385 |
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)) |
| = | (918 / (918 + 5098)) | / | (923 / (923 + 5018)) |
| = | 0.152593 | / | 0.155361 |
| | = | 0.9822 |
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) |
| = | (7876 / 43452) | / | (7970 / 46298) |
| = | 0.181257 | / | 0.172146 |
| | = | 1.0529 |
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) |
| = | ((3351 + 7909) / 14967) | / | ((3324 + 8979) / 15803) |
| = | 0.752322 | / | 0.778523 |
| | = | 0.9663 |
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 |
| = | (1241 - -54 | - | 1470) | / | 14967 |
| | = | -0.011692 |
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.
Best Buy Co has a M-score of -2.66 suggests that the company is unlikely to be a manipulator.
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