Rapeech Co Beneish M-Score Historical Data
The historical data trend for Rapeech 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.
Rapeech Co Beneish M-Score Chart
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Rapeech Co Annual Data
|
|
Trend |
Dec21 |
Dec22 |
Dec23 |
| Beneish M-Score |
|
- |
- |
-2.47 |
|
Rapeech Co Semi-Annual Data
|
|
Jun22 |
Dec22 |
Jun23 |
Dec23 |
| Beneish M-Score |
- |
- |
- |
-2.47 |
Competitive Comparison of Rapeech Co's Beneish M-Score
For the Software - Infrastructure subindustry, Rapeech 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.
Rapeech Co's Beneish M-Score Distribution in the Software Industry
For the Software industry and Technology sector, Rapeech Co's Beneish M-Score distribution charts can be found below:
* The bar in red indicates where Rapeech Co's Beneish M-Score falls into.
Rapeech 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 Rapeech 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 * 1.3013 | + | 0.528 * 1.1136 | + | 0.404 * 0.884 | + | 0.892 * 1.6253 | + | 0.115 * 0.6047 |
| - | 0.172 * SGAI | + | 4.679 * TATA | - | 0.327 * LVGI |
| - | 0.172 * 0.8043 | + | 4.679 * -0.172438 | - | 0.327 * 1.0703 |
| = | -2.47 |
* 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 (Dec23) TTM: | Last Year (Dec22) TTM: |
Total Receivables was ₩3,918 Mil.
Revenue was ₩17,085 Mil.
Gross Profit was ₩7,036 Mil.
Total Current Assets was ₩8,082 Mil.
Total Assets was ₩10,079 Mil.
Property, Plant and Equipment(Net PPE) was ₩485 Mil.
Depreciation, Depletion and Amortization(DDA) was ₩264 Mil.
Selling, General, & Admin. Expense(SGA) was ₩876 Mil.
Total Current Liabilities was ₩3,385 Mil.
Long-Term Debt & Capital Lease Obligation was ₩175 Mil.
Net Income was ₩348 Mil.
Gross Profit was ₩0 Mil.
Cash Flow from Operations was ₩2,086 Mil.
|
Total Receivables was ₩1,852 Mil.
Revenue was ₩10,512 Mil.
Gross Profit was ₩4,821 Mil.
Total Current Assets was ₩4,264 Mil.
Total Assets was ₩5,824 Mil.
Property, Plant and Equipment(Net PPE) was ₩572 Mil.
Depreciation, Depletion and Amortization(DDA) was ₩155 Mil.
Selling, General, & Admin. Expense(SGA) was ₩670 Mil.
Total Current Liabilities was ₩1,611 Mil.
Long-Term Debt & Capital Lease Obligation was ₩311 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) |
| = | (3917.582 / 17085.468) | / | (1852.256 / 10512.06) |
| = | 0.229293 | / | 0.176203 |
| | = | 1.3013 |
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) |
| = | (4820.532 / 10512.06) | / | (7035.752 / 17085.468) |
| = | 0.458572 | / | 0.411797 |
| | = | 1.1136 |
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 - (8081.57 + 484.844) / 10079.396) | / | (1 - (4263.696 + 571.639) / 5824.327) |
| = | 0.150106 | / | 0.169804 |
| | = | 0.884 |
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 |
| = | 17085.468 | / | 10512.06 |
| | = | 1.6253 |
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)) |
| = | (154.823 / (154.823 + 571.639)) | / | (263.899 / (263.899 + 484.844)) |
| = | 0.213119 | / | 0.352456 |
| | = | 0.6047 |
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) |
| = | (876.452 / 17085.468) | / | (670.481 / 10512.06) |
| = | 0.051298 | / | 0.063782 |
| | = | 0.8043 |
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) |
| = | ((175.243 + 3384.639) / 10079.396) | / | ((311.161 + 1610.782) / 5824.327) |
| = | 0.353184 | / | 0.329985 |
| | = | 1.0703 |
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 |
| = | (347.658 - 0 | - | 2085.73) | / | 10079.396 |
| | = | -0.172438 |
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.
Rapeech Co has a M-score of -2.47 suggests that the company is unlikely to be a manipulator.
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