Albertsons Beneish M-Score Historical Data
The historical data trend for Albertsons'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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Albertsons Annual Data
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Trend |
Feb15 |
Feb16 |
Feb17 |
Feb18 |
Feb19 |
Feb20 |
Feb21 |
Feb22 |
Feb23 |
Feb24 |
| Beneish M-Score |
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-3.04 |
-2.99 |
-2.78 |
-2.54 |
-2.67 |
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Albertsons Quarterly Data
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May19 |
Aug19 |
Nov19 |
Feb20 |
May20 |
Aug20 |
Nov20 |
Feb21 |
May21 |
Aug21 |
Nov21 |
Feb22 |
May22 |
Aug22 |
Nov22 |
Feb23 |
May23 |
Aug23 |
Nov23 |
Feb24 |
| Beneish M-Score |
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-2.54 |
-2.53 |
-2.61 |
-2.46 |
-2.67 |
Competitive Comparison
For the Grocery Stores subindustry, Albertsons'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.
Albertsons Beneish M-Score Distribution
For the Retail - Defensive industry and Consumer Defensive sector, Albertsons's Beneish M-Score distribution charts can be found below:
* The bar in red indicates where Albertsons's Beneish M-Score falls into.
Albertsons 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 Albertsons 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 * 1.0324 | + | 0.528 * 1.007 | + | 0.404 * 0.9384 | + | 0.892 * 1.0205 | + | 0.115 * 1.0234 |
| - | 0.172 * SGAI | + | 4.679 * TATA | - | 0.327 * LVGI |
| - | 0.172 * 0.9968 | + | 4.679 * -0.050791 | - | 0.327 * 0.9558 |
| = | -2.67 |
* 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 (Feb24) TTM: | Last Year (Feb23) TTM: |
Total Receivables was $724 Mil.
Revenue was 18339.5 + 18557.3 + 18290.7 + 24050.2 = $79,238 Mil.
Gross Profit was 5144.2 + 5197.3 + 5041.5 + 6662.7 = $22,046 Mil.
Total Current Assets was $6,288 Mil.
Total Assets was $26,221 Mil.
Property, Plant and Equipment(Net PPE) was $15,552 Mil.
Depreciation, Depletion and Amortization(DDA) was $2,444 Mil.
Selling, General, & Admin. Expense(SGA) was $19,933 Mil.
Total Current Liabilities was $7,458 Mil.
Long-Term Debt & Capital Lease Obligation was $13,277 Mil.
Net Income was 250.5 + 361.4 + 266.9 + 417.2 = $1,296 Mil.
Non Operating Income was -3.2 + -17.2 + 0.3 + -11.6 = $-32 Mil.
Cash Flow from Operations was 928.7 + 382.9 + 509.6 + 838.3 = $2,660 Mil.
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Total Receivables was $688 Mil.
Revenue was 18265.1 + 18154.9 + 17919.4 + 23310.3 = $77,650 Mil.
Gross Profit was 5084.3 + 5121.7 + 5004.6 + 6545 = $21,756 Mil.
Total Current Assets was $6,270 Mil.
Total Assets was $26,168 Mil.
Property, Plant and Equipment(Net PPE) was $15,238 Mil.
Depreciation, Depletion and Amortization(DDA) was $2,460 Mil.
Selling, General, & Admin. Expense(SGA) was $19,596 Mil.
Total Current Liabilities was $8,429 Mil.
Long-Term Debt & Capital Lease Obligation was $13,221 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) |
| = | (724.4 / 79237.7) | / | (687.6 / 77649.7) |
| = | 0.009142 | / | 0.008855 |
| | = | 1.0324 |
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) |
| = | (21755.6 / 77649.7) | / | (22045.7 / 79237.7) |
| = | 0.280176 | / | 0.278222 |
| | = | 1.007 |
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 - (6287.5 + 15551.9) / 26221.1) | / | (1 - (6270.4 + 15237.8) / 26168.2) |
| = | 0.167106 | / | 0.178079 |
| | = | 0.9384 |
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 |
| = | 79237.7 | / | 77649.7 |
| | = | 1.0205 |
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)) |
| = | (2459.8 / (2459.8 + 15237.8)) | / | (2444.2 / (2444.2 + 15551.9)) |
| = | 0.138991 | / | 0.135818 |
| | = | 1.0234 |
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) |
| = | (19932.9 / 79237.7) | / | (19596 / 77649.7) |
| = | 0.251558 | / | 0.252364 |
| | = | 0.9968 |
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) |
| = | ((13276.6 + 7457.7) / 26221.1) | / | ((13220.6 + 8428.8) / 26168.2) |
| = | 0.790749 | / | 0.827317 |
| | = | 0.9558 |
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 |
| = | (1296 - -31.7 | - | 2659.5) | / | 26221.1 |
| | = | -0.050791 |
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.
Albertsons has a M-score of -2.67 suggests that the company is unlikely to be a manipulator.
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