Konan Technology Beneish M-Score Historical Data
The historical data trend for Konan Technology'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.
Konan Technology Beneish M-Score Chart
|
Konan Technology Annual Data
|
|
Trend |
Dec19 |
Dec20 |
Dec21 |
Dec22 |
Dec23 |
Dec24 |
| Beneish M-Score |
|
Get a 7-Day Free Trial
|
- |
- |
-1.51 |
-1.64 |
-3.55 |
|
Konan Technology Quarterly Data
|
|
Dec19 |
Dec20 |
Mar21 |
Sep21 |
Dec21 |
Mar22 |
Jun22 |
Sep22 |
Dec22 |
Mar23 |
Jun23 |
Sep23 |
Dec23 |
Mar24 |
Jun24 |
Sep24 |
Dec24 |
| Beneish M-Score |
Get a 7-Day Free Trial
|
|
|
|
|
|
|
|
|
|
-1.64 |
-2.28 |
-2.76 |
-2.16 |
-3.55 |
Competitive Comparison of Konan Technology's Beneish M-Score
For the Software - Infrastructure subindustry, Konan Technology'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.
Konan Technology's Beneish M-Score Distribution in the Software Industry
For the Software industry and Technology sector, Konan Technology's Beneish M-Score distribution charts can be found below:
* The bar in red indicates where Konan Technology's Beneish M-Score falls into.
Konan Technology 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 Konan Technology 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 * 1.1981 | + | 0.528 * 1.1069 | + | 0.404 * 1.1301 | + | 0.892 * 1.0774 | + | 0.115 * 0.5482 |
| - | 0.172 * SGAI | + | 4.679 * TATA | - | 0.327 * LVGI |
| - | 0.172 * 0.8524 | + | 4.679 * -0.255752 | - | 0.327 * 1.6315 |
| = | -3.55 |
* 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 ₩11,948 Mil.
Revenue was 13828.826 + 3651.209 + 6265.808 + 2572.663 = ₩26,319 Mil.
Gross Profit was 5543.438 + 66.646 + 496.333 + -1213.985 = ₩4,892 Mil.
Total Current Assets was ₩31,091 Mil.
Total Assets was ₩44,386 Mil.
Property, Plant and Equipment(Net PPE) was ₩10,330 Mil.
Depreciation, Depletion and Amortization(DDA) was ₩4,178 Mil.
Selling, General, & Admin. Expense(SGA) was ₩2,904 Mil.
Total Current Liabilities was ₩23,274 Mil.
Long-Term Debt & Capital Lease Obligation was ₩791 Mil.
Net Income was 1395.965 + -4675.546 + -4301.702 + -6022.601 = ₩-13,604 Mil.
Non Operating Income was 0 + 0 + 0 + 0 = ₩0 Mil.
Cash Flow from Operations was 7430.778 + -5513.3 + -2529.883 + -1639.552 = ₩-2,252 Mil.
|
Total Receivables was ₩9,256 Mil.
Revenue was 16753.507 + 3110.937 + 2421.61 + 2142.202 = ₩24,428 Mil.
Gross Profit was 6656.555 + -889.268 + -136.036 + -604.825 = ₩5,026 Mil.
Total Current Assets was ₩33,017 Mil.
Total Assets was ₩48,094 Mil.
Property, Plant and Equipment(Net PPE) was ₩12,234 Mil.
Depreciation, Depletion and Amortization(DDA) was ₩2,293 Mil.
Selling, General, & Admin. Expense(SGA) was ₩3,162 Mil.
Total Current Liabilities was ₩13,966 Mil.
Long-Term Debt & Capital Lease Obligation was ₩2,017 Mil.
|
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) |
| = | (11948.113 / 26318.506) | / | (9256.048 / 24428.256) |
| = | 0.453981 | / | 0.378907 |
| | = | 1.1981 |
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) |
| = | (5026.426 / 24428.256) | / | (4892.432 / 26318.506) |
| = | 0.205763 | / | 0.185893 |
| | = | 1.1069 |
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 - (31090.601 + 10329.918) / 44386.379) | / | (1 - (33016.656 + 12233.668) / 48093.874) |
| = | 0.066819 | / | 0.059125 |
| | = | 1.1301 |
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 |
| = | 26318.506 | / | 24428.256 |
| | = | 1.0774 |
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)) |
| = | (2293.487 / (2293.487 + 12233.668)) | / | (4178.233 / (4178.233 + 10329.918)) |
| = | 0.157876 | / | 0.287992 |
| | = | 0.5482 |
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) |
| = | (2904.132 / 26318.506) | / | (3162.256 / 24428.256) |
| = | 0.110346 | / | 0.129451 |
| | = | 0.8524 |
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) |
| = | ((791.447 + 23273.961) / 44386.379) | / | ((2016.684 + 13965.526) / 48093.874) |
| = | 0.54218 | / | 0.332313 |
| | = | 1.6315 |
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 |
| = | (-13603.884 - 0 | - | -2251.957) | / | 44386.379 |
| | = | -0.255752 |
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.
Konan Technology has a M-score of -3.55 suggests that the company is unlikely to be a manipulator.
Quick Browse
Personalize
Premium Gurus 
Create New Portfolio
Portfolio Contest
XKRX:402030 has been successfully added to your