Genesco Beneish M-Score Historical Data
The historical data trend for Genesco'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.
Genesco Beneish M-Score Chart
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Genesco Annual Data
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Trend |
Jan16 |
Jan17 |
Jan18 |
Jan19 |
Jan20 |
Jan21 |
Jan22 |
Jan23 |
Jan24 |
Jan25 |
| Beneish M-Score |
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-2.88 |
-2.63 |
-1.23 |
-2.53 |
-3.18 |
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Genesco Quarterly Data
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Jul20 |
Oct20 |
Jan21 |
Apr21 |
Jul21 |
Oct21 |
Jan22 |
Apr22 |
Jul22 |
Oct22 |
Jan23 |
Apr23 |
Jul23 |
Oct23 |
Jan24 |
Apr24 |
Jul24 |
Oct24 |
Jan25 |
Apr25 |
| Beneish M-Score |
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-2.99 |
-2.71 |
-3.00 |
-3.18 |
-2.80 |
Competitive Comparison of Genesco's Beneish M-Score
For the Apparel Retail subindustry, Genesco'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.
Genesco's Beneish M-Score Distribution in the Retail - Cyclical Industry
For the Retail - Cyclical industry and Consumer Cyclical sector, Genesco's Beneish M-Score distribution charts can be found below:
* The bar in red indicates where Genesco's Beneish M-Score falls into.
Genesco 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 Genesco 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 * 1.0347 | + | 0.528 * 1.0043 | + | 0.404 * 0.398 | + | 0.892 * 1.0185 | + | 0.115 * 1.0549 |
| - | 0.172 * SGAI | + | 4.679 * TATA | - | 0.327 * LVGI |
| - | 0.172 * 0.9841 | + | 4.679 * -0.023504 | - | 0.327 * 1.0884 |
| = | -2.80 |
* 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 (Apr25) TTM: | Last Year (Apr24) TTM: |
Total Receivables was $53 Mil.
Revenue was 473.973 + 745.949 + 596.328 + 525.188 = $2,341 Mil.
Gross Profit was 221.181 + 349.637 + 285.256 + 245.639 = $1,102 Mil.
Total Current Assets was $633 Mil.
Total Assets was $1,405 Mil.
Property, Plant and Equipment(Net PPE) was $709 Mil.
Depreciation, Depletion and Amortization(DDA) was $53 Mil.
Selling, General, & Admin. Expense(SGA) was $1,081 Mil.
Total Current Liabilities was $331 Mil.
Long-Term Debt & Capital Lease Obligation was $503 Mil.
Net Income was -21.227 + 34.381 + -18.932 + -9.992 = $-16 Mil.
Non Operating Income was -0.471 + -1.796 + -0.22 + -0.864 = $-3 Mil.
Cash Flow from Operations was -101.036 + 116.994 + -23.079 + 27.715 = $21 Mil.
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Total Receivables was $50 Mil.
Revenue was 457.597 + 738.95 + 579.315 + 523.027 = $2,299 Mil.
Gross Profit was 216.281 + 342.067 + 278.425 + 249.52 = $1,086 Mil.
Total Current Assets was $508 Mil.
Total Assets was $1,307 Mil.
Property, Plant and Equipment(Net PPE) was $654 Mil.
Depreciation, Depletion and Amortization(DDA) was $51 Mil.
Selling, General, & Admin. Expense(SGA) was $1,078 Mil.
Total Current Liabilities was $308 Mil.
Long-Term Debt & Capital Lease Obligation was $405 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) |
| = | (52.815 / 2341.438) | / | (50.119 / 2298.889) |
| = | 0.022557 | / | 0.021801 |
| | = | 1.0347 |
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) |
| = | (1086.293 / 2298.889) | / | (1101.713 / 2341.438) |
| = | 0.47253 | / | 0.470528 |
| | = | 1.0043 |
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 - (633.314 + 709) / 1404.591) | / | (1 - (508.04 + 653.734) / 1307.417) |
| = | 0.044338 | / | 0.111398 |
| | = | 0.398 |
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 |
| = | 2341.438 | / | 2298.889 |
| | = | 1.0185 |
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)) |
| = | (51.392 / (51.392 + 653.734)) | / | (52.62 / (52.62 + 709)) |
| = | 0.072883 | / | 0.06909 |
| | = | 1.0549 |
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) |
| = | (1080.857 / 2341.438) | / | (1078.374 / 2298.889) |
| = | 0.461621 | / | 0.469085 |
| | = | 0.9841 |
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) |
| = | ((503.117 + 330.923) / 1404.591) | / | ((405.114 + 308.185) / 1307.417) |
| = | 0.593796 | / | 0.545579 |
| | = | 1.0884 |
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 |
| = | (-15.77 - -3.351 | - | 20.594) | / | 1404.591 |
| | = | -0.023504 |
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.
Genesco has a M-score of -2.80 suggests that the company is unlikely to be a manipulator.
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