Kweather Co Beneish M-Score Historical Data
The historical data trend for Kweather 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.
Kweather Co Beneish M-Score Chart
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Kweather Co Annual Data
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Trend |
Dec20 |
Dec21 |
Dec22 |
Dec23 |
Dec24 |
| Beneish M-Score |
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- |
- |
- |
- |
-1.77 |
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Kweather Co Quarterly Data
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Dec20 |
Dec21 |
Dec22 |
Mar23 |
Jun23 |
Sep23 |
Dec23 |
Mar24 |
Jun24 |
Sep24 |
Dec24 |
| Beneish M-Score |
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- |
- |
- |
-0.70 |
-1.77 |
Competitive Comparison of Kweather Co's Beneish M-Score
For the Scientific & Technical Instruments subindustry, Kweather 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.
Kweather Co's Beneish M-Score Distribution in the Hardware Industry
For the Hardware industry and Technology sector, Kweather Co's Beneish M-Score distribution charts can be found below:
* The bar in red indicates where Kweather Co's Beneish M-Score falls into.
Kweather 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 Kweather 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 * 1.0088 | + | 0.528 * 1.295 | + | 0.404 * 1.7968 | + | 0.892 * 0.9513 | + | 0.115 * 1.1025 |
| - | 0.172 * SGAI | + | 4.679 * TATA | - | 0.327 * LVGI |
| - | 0.172 * 0.6293 | + | 4.679 * 0.021095 | - | 0.327 * 0.7046 |
| = | -1.77 |
* 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 ₩2,486 Mil.
Revenue was 6918.711 + 3530.316 + 2812.375 + 2325.566 = ₩15,587 Mil.
Gross Profit was 1874.502 + 982.651 + -129.189 + 813.095 = ₩3,541 Mil.
Total Current Assets was ₩9,821 Mil.
Total Assets was ₩18,829 Mil.
Property, Plant and Equipment(Net PPE) was ₩7,033 Mil.
Depreciation, Depletion and Amortization(DDA) was ₩370 Mil.
Selling, General, & Admin. Expense(SGA) was ₩3,010 Mil.
Total Current Liabilities was ₩2,998 Mil.
Long-Term Debt & Capital Lease Obligation was ₩2,555 Mil.
Net Income was 1024.23 + -377.961 + -1555.38 + -984.054 = ₩-1,893 Mil.
Non Operating Income was 0 + 0 + 0 + 0 = ₩0 Mil.
Cash Flow from Operations was 1716.189 + -705.827 + -1377.221 + -1923.501 = ₩-2,290 Mil.
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Total Receivables was ₩2,590 Mil.
Revenue was 6434.015 + 4011.033 + 2891.326 + 3048.394 = ₩16,385 Mil.
Gross Profit was 973.199 + 2110.093 + 377.104 + 1360.129 = ₩4,821 Mil.
Total Current Assets was ₩6,697 Mil.
Total Assets was ₩14,781 Mil.
Property, Plant and Equipment(Net PPE) was ₩7,222 Mil.
Depreciation, Depletion and Amortization(DDA) was ₩421 Mil.
Selling, General, & Admin. Expense(SGA) was ₩5,029 Mil.
Total Current Liabilities was ₩3,157 Mil.
Long-Term Debt & Capital Lease Obligation was ₩3,031 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) |
| = | (2485.844 / 15586.968) | / | (2590.334 / 16384.768) |
| = | 0.159482 | / | 0.158094 |
| | = | 1.0088 |
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) |
| = | (4820.525 / 16384.768) | / | (3541.059 / 15586.968) |
| = | 0.294208 | / | 0.227181 |
| | = | 1.295 |
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 - (9820.815 + 7032.728) / 18828.687) | / | (1 - (6696.812 + 7221.69) / 14781.46) |
| = | 0.104901 | / | 0.058381 |
| | = | 1.7968 |
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 |
| = | 15586.968 | / | 16384.768 |
| | = | 0.9513 |
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)) |
| = | (420.889 / (420.889 + 7221.69)) | / | (369.773 / (369.773 + 7032.728)) |
| = | 0.055072 | / | 0.049952 |
| | = | 1.1025 |
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) |
| = | (3010.492 / 15586.968) | / | (5029.085 / 16384.768) |
| = | 0.193142 | / | 0.306937 |
| | = | 0.6293 |
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) |
| = | ((2555.242 + 2998.495) / 18828.687) | / | ((3030.598 + 3156.895) / 14781.46) |
| = | 0.294961 | / | 0.418598 |
| | = | 0.7046 |
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 |
| = | (-1893.165 - 0 | - | -2290.36) | / | 18828.687 |
| | = | 0.021095 |
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.
Kweather Co has a M-score of -1.77 signals that the company is likely to be a manipulator.
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