KOSE Beneish M-Score Historical Data
The historical data trend for KOSE'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.
KOSE Beneish M-Score Chart
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KOSE Annual Data
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Trend |
Mar14 |
Mar15 |
Mar16 |
Mar17 |
Mar18 |
Mar19 |
Mar20 |
Mar21 |
Dec22 |
Dec23 |
| Beneish M-Score |
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-2.34 |
-2.74 |
-2.61 |
-2.15 |
-2.85 |
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KOSE Quarterly Data
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Jun19 |
Sep19 |
Dec19 |
Mar20 |
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Sep20 |
Dec20 |
Mar21 |
Jun21 |
Sep21 |
Dec21 |
Mar22 |
Jun22 |
Sep22 |
Dec22 |
Mar23 |
Jun23 |
Sep23 |
Dec23 |
Mar24 |
| Beneish M-Score |
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-2.85 |
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Competitive Comparison of KOSE's Beneish M-Score
For the Household & Personal Products subindustry, KOSE'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.
KOSE's Beneish M-Score Distribution in the Consumer Packaged Goods Industry
For the Consumer Packaged Goods industry and Consumer Defensive sector, KOSE's Beneish M-Score distribution charts can be found below:
* The bar in red indicates where KOSE's Beneish M-Score falls into.
KOSE 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 KOSE 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 * 0.8148 | + | 0.528 * 1.011 | + | 0.404 * 1.0145 | + | 0.892 * 1.039 | + | 0.115 * 0.9734 |
| - | 0.172 * SGAI | + | 4.679 * TATA | - | 0.327 * LVGI |
| - | 0.172 * 1.0232 | + | 4.679 * -0.05053 | - | 0.327 * 1.0127 |
| = | -2.85 |
* 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 円44,405 Mil.
Revenue was 円300,406 Mil.
Gross Profit was 円211,197 Mil.
Total Current Assets was 円256,732 Mil.
Total Assets was 円371,657 Mil.
Property, Plant and Equipment(Net PPE) was 円61,247 Mil.
Depreciation, Depletion and Amortization(DDA) was 円10,582 Mil.
Selling, General, & Admin. Expense(SGA) was 円92,855 Mil.
Total Current Liabilities was 円70,224 Mil.
Long-Term Debt & Capital Lease Obligation was 円8,664 Mil.
Net Income was 円11,663 Mil.
Gross Profit was 円0 Mil.
Cash Flow from Operations was 円30,443 Mil.
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Total Receivables was 円52,451 Mil.
Revenue was 円289,136 Mil.
Gross Profit was 円205,515 Mil.
Total Current Assets was 円244,481 Mil.
Total Assets was 円359,600 Mil.
Property, Plant and Equipment(Net PPE) was 円63,923 Mil.
Depreciation, Depletion and Amortization(DDA) was 円10,702 Mil.
Selling, General, & Admin. Expense(SGA) was 円87,348 Mil.
Total Current Liabilities was 円67,580 Mil.
Long-Term Debt & Capital Lease Obligation was 円7,793 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) |
| = | (44405 / 300406) | / | (52451 / 289136) |
| = | 0.147817 | / | 0.181406 |
| | = | 0.8148 |
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) |
| = | (205515 / 289136) | / | (211197 / 300406) |
| = | 0.71079 | / | 0.703039 |
| | = | 1.011 |
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 - (256732 + 61247) / 371657) | / | (1 - (244481 + 63923) / 359600) |
| = | 0.144429 | / | 0.142369 |
| | = | 1.0145 |
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 |
| = | 300406 | / | 289136 |
| | = | 1.039 |
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)) |
| = | (10702 / (10702 + 63923)) | / | (10582 / (10582 + 61247)) |
| = | 0.14341 | / | 0.147322 |
| | = | 0.9734 |
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) |
| = | (92855 / 300406) | / | (87348 / 289136) |
| = | 0.309098 | / | 0.3021 |
| | = | 1.0232 |
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) |
| = | ((8664 + 70224) / 371657) | / | ((7793 + 67580) / 359600) |
| = | 0.21226 | / | 0.209602 |
| | = | 1.0127 |
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 |
| = | (11663 - 0 | - | 30443) | / | 371657 |
| | = | -0.05053 |
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.
KOSE has a M-score of -2.85 suggests that the company is unlikely to be a manipulator.
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