Dukn Neolux Co Beneish M-Score Historical Data
The historical data trend for Dukn Neolux 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.
Dukn Neolux Co Beneish M-Score Chart
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Dukn Neolux Co Annual Data
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Trend |
Dec14 |
Dec15 |
Dec16 |
Dec17 |
Dec18 |
Dec19 |
Dec20 |
Dec21 |
Dec22 |
Dec23 |
| Beneish M-Score |
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-2.20 |
-2.48 |
-2.41 |
-1.78 |
-2.35 |
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Dukn Neolux Co Quarterly Data
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Jun19 |
Sep19 |
Dec19 |
Mar20 |
Jun20 |
Sep20 |
Dec20 |
Mar21 |
Jun21 |
Sep21 |
Dec21 |
Mar22 |
Jun22 |
Sep22 |
Dec22 |
Mar23 |
Jun23 |
Sep23 |
Dec23 |
Mar24 |
| Beneish M-Score |
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-2.16 |
-1.41 |
-2.40 |
-2.35 |
-1.84 |
Competitive Comparison of Dukn Neolux Co's Beneish M-Score
For the Electronic Components subindustry, Dukn Neolux 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.
Dukn Neolux Co's Beneish M-Score Distribution in the Hardware Industry
For the Hardware industry and Technology sector, Dukn Neolux Co's Beneish M-Score distribution charts can be found below:
* The bar in red indicates where Dukn Neolux Co's Beneish M-Score falls into.
Dukn Neolux 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 Dukn Neolux 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 * 1.362 | + | 0.528 * 0.8273 | + | 0.404 * 2.1235 | + | 0.892 * 1.1482 | + | 0.115 * 1.0089 |
| - | 0.172 * SGAI | + | 4.679 * TATA | - | 0.327 * LVGI |
| - | 0.172 * 1.1102 | + | 4.679 * -0.029364 | - | 0.327 * 1.1036 |
| = | -1.84 |
* 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 (Mar24) TTM: | Last Year (Mar23) TTM: |
Total Receivables was ₩30,778 Mil.
Revenue was 52483.294 + 45472.742 + 47038.565 + 42737.051 = ₩187,732 Mil.
Gross Profit was 18661.944 + 17077.397 + 18198.366 + 15930.298 = ₩69,868 Mil.
Total Current Assets was ₩111,976 Mil.
Total Assets was ₩415,141 Mil.
Property, Plant and Equipment(Net PPE) was ₩110,295 Mil.
Depreciation, Depletion and Amortization(DDA) was ₩9,650 Mil.
Selling, General, & Admin. Expense(SGA) was ₩11,970 Mil.
Total Current Liabilities was ₩25,787 Mil.
Long-Term Debt & Capital Lease Obligation was ₩18,910 Mil.
Net Income was 8619.746 + 9327.35 + 10673.75 + 11922.54 = ₩40,543 Mil.
Non Operating Income was 0 + 0 + 0 + 0 = ₩0 Mil.
Cash Flow from Operations was 14911.507 + 12860.636 + 15725.406 + 9236.018 = ₩52,734 Mil.
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Total Receivables was ₩19,680 Mil.
Revenue was 28453.786 + 48660.023 + 47071.34 + 39308.665 = ₩163,494 Mil.
Gross Profit was 6243.113 + 14730.101 + 14728.716 + 14635.591 = ₩50,338 Mil.
Total Current Assets was ₩192,856 Mil.
Total Assets was ₩366,345 Mil.
Property, Plant and Equipment(Net PPE) was ₩93,339 Mil.
Depreciation, Depletion and Amortization(DDA) was ₩8,245 Mil.
Selling, General, & Admin. Expense(SGA) was ₩9,390 Mil.
Total Current Liabilities was ₩17,079 Mil.
Long-Term Debt & Capital Lease Obligation was ₩18,662 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) |
| = | (30778.481 / 187731.652) | / | (19679.843 / 163493.814) |
| = | 0.163949 | / | 0.120371 |
| | = | 1.362 |
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) |
| = | (50337.521 / 163493.814) | / | (69868.005 / 187731.652) |
| = | 0.307886 | / | 0.37217 |
| | = | 0.8273 |
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 - (111976.246 + 110295.147) / 415140.762) | / | (1 - (192856.116 + 93339.03) / 366345.02) |
| = | 0.464588 | / | 0.218782 |
| | = | 2.1235 |
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 |
| = | 187731.652 | / | 163493.814 |
| | = | 1.1482 |
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)) |
| = | (8245.238 / (8245.238 + 93339.03)) | / | (9649.507 / (9649.507 + 110295.147)) |
| = | 0.081166 | / | 0.08045 |
| | = | 1.0089 |
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) |
| = | (11969.853 / 187731.652) | / | (9389.818 / 163493.814) |
| = | 0.06376 | / | 0.057432 |
| | = | 1.1102 |
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) |
| = | ((18909.858 + 25787.49) / 415140.762) | / | ((18662.378 + 17078.771) / 366345.02) |
| = | 0.107668 | / | 0.097561 |
| | = | 1.1036 |
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 |
| = | (40543.386 - 0 | - | 52733.567) | / | 415140.762 |
| | = | -0.029364 |
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.
Dukn Neolux Co has a M-score of -1.84 suggests that the company is unlikely to be a manipulator.
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