Semcns Co Beneish M-Score Historical Data
The historical data trend for Semcns 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.
Semcns Co Beneish M-Score Chart
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Semcns Co Annual Data
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Trend |
Dec16 |
Dec17 |
Dec18 |
Dec19 |
Dec20 |
Dec21 |
Dec22 |
Dec23 |
Dec24 |
| Beneish M-Score |
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- |
-2.53 |
-2.04 |
-1.93 |
-2.31 |
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Semcns Co Quarterly Data
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Dec19 |
Jun20 |
Sep20 |
Dec20 |
Mar21 |
Jun21 |
Sep21 |
Dec21 |
Mar22 |
Jun22 |
Sep22 |
Dec22 |
Mar23 |
Jun23 |
Sep23 |
Dec23 |
Mar24 |
Jun24 |
Sep24 |
Dec24 |
| Beneish M-Score |
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-1.93 |
-2.49 |
-2.26 |
-2.86 |
-2.31 |
Competitive Comparison of Semcns Co's Beneish M-Score
For the Semiconductors subindustry, Semcns 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.
Semcns Co's Beneish M-Score Distribution in the Semiconductors Industry
For the Semiconductors industry and Technology sector, Semcns Co's Beneish M-Score distribution charts can be found below:
* The bar in red indicates where Semcns Co's Beneish M-Score falls into.
Semcns 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 Semcns 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 * 0.4971 | + | 0.528 * 1.0173 | + | 0.404 * 0.7749 | + | 0.892 * 1.7235 | + | 0.115 * 0.6176 |
| - | 0.172 * SGAI | + | 4.679 * TATA | - | 0.327 * LVGI |
| - | 0.172 * 0.5048 | + | 4.679 * -0.010356 | - | 0.327 * 0.7605 |
| = | -2.31 |
* 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 (Dec24) TTM: | Last Year (Dec23) TTM: |
Total Receivables was ₩5,889 Mil.
Revenue was 13142.029 + 15740.639 + 13530.137 + 10902.746 = ₩53,316 Mil.
Gross Profit was 2816.172 + 6563.687 + 6068.304 + 4350.523 = ₩19,799 Mil.
Total Current Assets was ₩64,050 Mil.
Total Assets was ₩222,168 Mil.
Property, Plant and Equipment(Net PPE) was ₩128,619 Mil.
Depreciation, Depletion and Amortization(DDA) was ₩5,774 Mil.
Selling, General, & Admin. Expense(SGA) was ₩7,613 Mil.
Total Current Liabilities was ₩25,029 Mil.
Long-Term Debt & Capital Lease Obligation was ₩52,701 Mil.
Net Income was -2088.295 + 2534.138 + 2150.621 + 721.689 = ₩3,318 Mil.
Non Operating Income was 0 + 0 + 0 + 0 = ₩0 Mil.
Cash Flow from Operations was 1286.08 + 2440.483 + 3893.458 + -2001.209 = ₩5,619 Mil.
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Total Receivables was ₩6,874 Mil.
Revenue was 8126.434 + 9562.137 + 5788.228 + 7457.812 = ₩30,935 Mil.
Gross Profit was 1518.314 + 4351.581 + 2029.762 + 3786.405 = ₩11,686 Mil.
Total Current Assets was ₩44,495 Mil.
Total Assets was ₩191,766 Mil.
Property, Plant and Equipment(Net PPE) was ₩114,411 Mil.
Depreciation, Depletion and Amortization(DDA) was ₩3,119 Mil.
Selling, General, & Admin. Expense(SGA) was ₩8,750 Mil.
Total Current Liabilities was ₩61,096 Mil.
Long-Term Debt & Capital Lease Obligation was ₩27,127 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) |
| = | (5888.736 / 53315.551) | / | (6874.081 / 30934.611) |
| = | 0.110451 | / | 0.222213 |
| | = | 0.4971 |
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) |
| = | (11686.062 / 30934.611) | / | (19798.686 / 53315.551) |
| = | 0.377767 | / | 0.371349 |
| | = | 1.0173 |
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 - (64050.014 + 128618.514) / 222167.595) | / | (1 - (44495.449 + 114410.751) / 191765.857) |
| = | 0.132778 | / | 0.171353 |
| | = | 0.7749 |
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 |
| = | 53315.551 | / | 30934.611 |
| | = | 1.7235 |
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)) |
| = | (3118.944 / (3118.944 + 114410.751)) | / | (5774.475 / (5774.475 + 128618.514)) |
| = | 0.026537 | / | 0.042967 |
| | = | 0.6176 |
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) |
| = | (7613.105 / 53315.551) | / | (8749.666 / 30934.611) |
| = | 0.142793 | / | 0.282844 |
| | = | 0.5048 |
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) |
| = | ((52701.035 + 25029.266) / 222167.595) | / | ((27127.42 + 61096.401) / 191765.857) |
| = | 0.349872 | / | 0.46006 |
| | = | 0.7605 |
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 |
| = | (3318.153 - 0 | - | 5618.812) | / | 222167.595 |
| | = | -0.010356 |
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.
Semcns Co has a M-score of -2.31 suggests that the company is unlikely to be a manipulator.
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