Mobidays Beneish M-Score Historical Data
The historical data trend for Mobidays'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.
Mobidays Beneish M-Score Chart
|
Mobidays Annual Data
|
|
Trend |
Dec20 |
Dec21 |
Dec22 |
| Beneish M-Score |
|
- |
- |
- |
|
Mobidays Quarterly Data
|
|
Sep20 |
Dec20 |
Mar21 |
Jun21 |
Sep21 |
Dec21 |
Mar22 |
Jun22 |
Sep22 |
Dec22 |
Mar23 |
Jun23 |
Sep23 |
Dec23 |
Mar24 |
| Beneish M-Score |
Get a 7-Day Free Trial
|
|
|
|
|
|
|
|
- |
-1.63 |
2.10 |
-0.69 |
-1.89 |
Competitive Comparison of Mobidays's Beneish M-Score
For the Advertising Agencies subindustry, Mobidays'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.
Mobidays's Beneish M-Score Distribution in the Media - Diversified Industry
For the Media - Diversified industry and Communication Services sector, Mobidays's Beneish M-Score distribution charts can be found below:
* The bar in red indicates where Mobidays's Beneish M-Score falls into.
Mobidays 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 Mobidays 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 * 1.2666 | + | 0.404 * 2.4615 | + | 0.892 * 1.6516 | + | 0.115 * 0.4292 |
| - | 0.172 * SGAI | + | 4.679 * TATA | - | 0.327 * LVGI |
| - | 0.172 * 1.6718 | + | 4.679 * 0.085142 | - | 0.327 * 1.0675 |
| = | -1.89 |
* 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 6759.346 + 10070.27 + 6496.328 + 3403.672 = ₩26,730 Mil.
Gross Profit was 5227.042 + 5978.64 + 6496.328 + 3403.672 = ₩21,106 Mil.
Total Current Assets was ₩82,910 Mil.
Total Assets was ₩120,792 Mil.
Property, Plant and Equipment(Net PPE) was ₩0 Mil.
Depreciation, Depletion and Amortization(DDA) was ₩771 Mil.
Selling, General, & Admin. Expense(SGA) was ₩18,485 Mil.
Total Current Liabilities was ₩70,892 Mil.
Long-Term Debt & Capital Lease Obligation was ₩0 Mil.
Net Income was -773.073 + -569.595 + -927.226 + -2.324 = ₩-2,272 Mil.
Non Operating Income was 0 + 0 + 0 + 0 = ₩0 Mil.
Cash Flow from Operations was 0 + -8477.115 + -10137.957 + 6058.358 = ₩-12,557 Mil.
|
Total Receivables was ₩51,021 Mil.
Revenue was 3920.312 + 3209.065 + 4009.417 + 5045.427 = ₩16,184 Mil.
Gross Profit was 3920.312 + 3210.578 + 4009.417 + 5045.427 = ₩16,186 Mil.
Total Current Assets was ₩78,524 Mil.
Total Assets was ₩90,331 Mil.
Property, Plant and Equipment(Net PPE) was ₩298 Mil.
Depreciation, Depletion and Amortization(DDA) was ₩224 Mil.
Selling, General, & Admin. Expense(SGA) was ₩6,695 Mil.
Total Current Liabilities was ₩49,665 Mil.
Long-Term Debt & Capital Lease Obligation was ₩0 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) |
| = | (0 / 26729.616) | / | (51020.848 / 16184.221) |
| = | 0 | / | 3.152506 |
| | = | 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) |
| = | (16185.734 / 16184.221) | / | (21105.682 / 26729.616) |
| = | 1.000093 | / | 0.789599 |
| | = | 1.2666 |
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 - (82910.167 + 0) / 120791.852) | / | (1 - (78524.339 + 298.287) / 90331.47) |
| = | 0.313611 | / | 0.127407 |
| | = | 2.4615 |
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 |
| = | 26729.616 | / | 16184.221 |
| | = | 1.6516 |
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)) |
| = | (224.319 / (224.319 + 298.287)) | / | (770.878 / (770.878 + 0)) |
| = | 0.429232 | / | 1 |
| | = | 0.4292 |
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) |
| = | (18484.916 / 26729.616) | / | (6694.831 / 16184.221) |
| = | 0.691552 | / | 0.413664 |
| | = | 1.6718 |
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 + 70892.442) / 120791.852) | / | ((0 + 49665.026) / 90331.47) |
| = | 0.586898 | / | 0.549809 |
| | = | 1.0675 |
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 |
| = | (-2272.218 - 0 | - | -12556.714) | / | 120791.852 |
| | = | 0.085142 |
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.
Mobidays has a M-score of -1.89 suggests that the company is unlikely to be a manipulator.
Quick Browse
Personalize
Premium Gurus 
Create New Portfolio
Portfolio Contest
XKRX:363260 has been successfully added to your