Geniee Beneish M-Score Historical Data
The historical data trend for Geniee'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.
Geniee Beneish M-Score Chart
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Geniee Annual Data
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Trend |
Mar16 |
Mar17 |
Mar18 |
Mar19 |
Mar20 |
Mar21 |
Mar22 |
Mar23 |
| Beneish M-Score |
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- |
-2.61 |
-2.17 |
-2.78 |
-1.75 |
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Geniee Quarterly Data
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Mar19 |
Jun19 |
Sep19 |
Dec19 |
Mar20 |
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Dec20 |
Mar21 |
Jun21 |
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Mar23 |
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Sep23 |
Dec23 |
| Beneish M-Score |
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-3.22 |
-1.75 |
-1.66 |
-1.58 |
-1.70 |
Competitive Comparison of Geniee's Beneish M-Score
For the Internet Content & Information subindustry, Geniee'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.
Geniee's Beneish M-Score Distribution in the Interactive Media Industry
For the Interactive Media industry and Communication Services sector, Geniee's Beneish M-Score distribution charts can be found below:
* The bar in red indicates where Geniee's Beneish M-Score falls into.
Geniee 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 Geniee 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 * 1.6918 | + | 0.528 * 0.7194 | + | 0.404 * 1.5301 | + | 0.892 * 0.8736 | + | 0.115 * 0.7451 |
| - | 0.172 * SGAI | + | 4.679 * TATA | - | 0.327 * LVGI |
| - | 0.172 * 1.5409 | + | 4.679 * 0.071032 | - | 0.327 * 1.052 |
| = | -1.70 |
* 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 円2,953 Mil.
Revenue was 2133.53 + 1963.014 + 1795.67 + 1736.98 = 円7,629 Mil.
Gross Profit was 1646.402 + 1500.892 + 1372.763 + 1375.747 = 円5,896 Mil.
Total Current Assets was 円5,790 Mil.
Total Assets was 円18,432 Mil.
Property, Plant and Equipment(Net PPE) was 円723 Mil.
Depreciation, Depletion and Amortization(DDA) was 円721 Mil.
Selling, General, & Admin. Expense(SGA) was 円4,926 Mil.
Total Current Liabilities was 円10,157 Mil.
Long-Term Debt & Capital Lease Obligation was 円1,031 Mil.
Net Income was 228.89 + 631.463 + 1.079 + 1478.786 = 円2,340 Mil.
Non Operating Income was 0 + 0 + 0 + 0 = 円0 Mil.
Cash Flow from Operations was 505.14 + 387.931 + -236.713 + 374.606 = 円1,031 Mil.
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Total Receivables was 円1,998 Mil.
Revenue was 1679.137 + 1570.601 + 1468.356 + 4015.365 = 円8,733 Mil.
Gross Profit was 1341.113 + 1253.941 + 1171.546 + 1088.597 = 円4,855 Mil.
Total Current Assets was 円3,984 Mil.
Total Assets was 円8,627 Mil.
Property, Plant and Equipment(Net PPE) was 円997 Mil.
Depreciation, Depletion and Amortization(DDA) was 円590 Mil.
Selling, General, & Admin. Expense(SGA) was 円3,659 Mil.
Total Current Liabilities was 円3,910 Mil.
Long-Term Debt & Capital Lease Obligation was 円1,068 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) |
| = | (2952.864 / 7629.194) | / | (1998.064 / 8733.459) |
| = | 0.387048 | / | 0.228783 |
| | = | 1.6918 |
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) |
| = | (4855.197 / 8733.459) | / | (5895.804 / 7629.194) |
| = | 0.555931 | / | 0.772795 |
| | = | 0.7194 |
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 - (5789.982 + 722.711) / 18431.767) | / | (1 - (3984.271 + 996.592) / 8626.812) |
| = | 0.646659 | / | 0.42263 |
| | = | 1.5301 |
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 |
| = | 7629.194 | / | 8733.459 |
| | = | 0.8736 |
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)) |
| = | (590.348 / (590.348 + 996.592)) | / | (720.623 / (720.623 + 722.711)) |
| = | 0.372004 | / | 0.499277 |
| | = | 0.7451 |
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) |
| = | (4925.897 / 7629.194) | / | (3659.443 / 8733.459) |
| = | 0.645664 | / | 0.419014 |
| | = | 1.5409 |
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) |
| = | ((1031.428 + 10157.283) / 18431.767) | / | ((1067.611 + 3910.112) / 8626.812) |
| = | 0.607034 | / | 0.577006 |
| | = | 1.052 |
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 |
| = | (2340.218 - 0 | - | 1030.964) | / | 18431.767 |
| | = | 0.071032 |
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.
Geniee has a M-score of -1.70 signals that the company is likely to be a manipulator.
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