Connectwave Co Beneish M-Score Historical Data
The historical data trend for Connectwave 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.
Connectwave Co Beneish M-Score Chart
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Connectwave 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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-3.67 |
-1.84 |
-0.47 |
-2.63 |
-2.79 |
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Connectwave 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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1.36 |
2.70 |
2.26 |
-2.79 |
-3.46 |
Competitive Comparison of Connectwave Co's Beneish M-Score
For the Internet Retail subindustry, Connectwave 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.
Connectwave Co's Beneish M-Score Distribution in the Retail - Cyclical Industry
For the Retail - Cyclical industry and Consumer Cyclical sector, Connectwave Co's Beneish M-Score distribution charts can be found below:
* The bar in red indicates where Connectwave Co's Beneish M-Score falls into.
Connectwave 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 Connectwave 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 | + | 0.528 * 0.9888 | + | 0.404 * 1.0879 | + | 0.892 * 0.9043 | + | 0.115 * 0.2946 |
| - | 0.172 * SGAI | + | 4.679 * TATA | - | 0.327 * LVGI |
| - | 0.172 * 1.0065 | + | 4.679 * -0.029322 | - | 0.327 * 0.3399 |
| = | -3.46 |
* 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 ₩0 Mil.
Revenue was 109602.319 + 113860.187 + 110556.113 + 113436.102 = ₩447,455 Mil.
Gross Profit was 109602.319 + 61411.049 + 55072.59 + 61218.015 = ₩287,304 Mil.
Total Current Assets was ₩288,452 Mil.
Total Assets was ₩882,270 Mil.
Property, Plant and Equipment(Net PPE) was ₩0 Mil.
Depreciation, Depletion and Amortization(DDA) was ₩16,983 Mil.
Selling, General, & Admin. Expense(SGA) was ₩160,500 Mil.
Total Current Liabilities was ₩92,080 Mil.
Long-Term Debt & Capital Lease Obligation was ₩0 Mil.
Net Income was 5486.032 + -19763.998 + 12716.232 + 3402.807 = ₩1,841 Mil.
Non Operating Income was 0 + 0 + 0 + 0 = ₩0 Mil.
Cash Flow from Operations was 0 + 10531.52 + 7359.893 + 9819.932 = ₩27,711 Mil.
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Total Receivables was ₩47,675 Mil.
Revenue was 122416.06 + 121955.947 + 123890.262 + 126561.005 = ₩494,823 Mil.
Gross Profit was 122416.06 + 56199.59 + 70299.962 + 65235.029 = ₩314,151 Mil.
Total Current Assets was ₩306,420 Mil.
Total Assets was ₩945,208 Mil.
Property, Plant and Equipment(Net PPE) was ₩54,030 Mil.
Depreciation, Depletion and Amortization(DDA) was ₩22,563 Mil.
Selling, General, & Admin. Expense(SGA) was ₩176,345 Mil.
Total Current Liabilities was ₩113,620 Mil.
Long-Term Debt & Capital Lease Obligation was ₩176,630 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) |
| = | (0 / 447454.721) | / | (47674.59 / 494823.274) |
| = | 0 | / | 0.096347 |
| | = | 0 |
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) |
| = | (314150.641 / 494823.274) | / | (287303.973 / 447454.721) |
| = | 0.634874 | / | 0.642085 |
| | = | 0.9888 |
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 - (288452.142 + 0) / 882269.598) | / | (1 - (306420.207 + 54030.229) / 945207.756) |
| = | 0.673057 | / | 0.618655 |
| | = | 1.0879 |
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 |
| = | 447454.721 | / | 494823.274 |
| | = | 0.9043 |
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)) |
| = | (22562.827 / (22562.827 + 54030.229)) | / | (16982.711 / (16982.711 + 0)) |
| = | 0.294581 | / | 1 |
| | = | 0.2946 |
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) |
| = | (160499.555 / 447454.721) | / | (176345.007 / 494823.274) |
| = | 0.358695 | / | 0.35638 |
| | = | 1.0065 |
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) |
| = | ((0 + 92079.66) / 882269.598) | / | ((176630.072 + 113620.079) / 945207.756) |
| = | 0.104367 | / | 0.307076 |
| | = | 0.3399 |
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 |
| = | (1841.073 - 0 | - | 27711.345) | / | 882269.598 |
| | = | -0.029322 |
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.
Connectwave Co has a M-score of -3.46 suggests that the company is unlikely to be a manipulator.
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