Bemobi Tech Beneish M-Score Historical Data
The historical data trend for Bemobi Tech'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.
Bemobi Tech Beneish M-Score Chart
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Bemobi Tech Annual Data
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Trend |
Dec20 |
Dec21 |
Dec22 |
Dec23 |
| Beneish M-Score |
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- |
- |
-1.29 |
-2.10 |
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Bemobi Tech Quarterly Data
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Dec20 |
Mar21 |
Jun21 |
Sep21 |
Dec21 |
Mar22 |
Jun22 |
Sep22 |
Dec22 |
Mar23 |
Jun23 |
Sep23 |
Dec23 |
Mar24 |
Jun24 |
Sep24 |
| Beneish M-Score |
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-2.46 |
-2.10 |
-2.21 |
-2.23 |
-2.64 |
Competitive Comparison of Bemobi Tech's Beneish M-Score
For the Entertainment subindustry, Bemobi Tech'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.
Bemobi Tech's Beneish M-Score Distribution in the Media - Diversified Industry
For the Media - Diversified industry and Communication Services sector, Bemobi Tech's Beneish M-Score distribution charts can be found below:
* The bar in red indicates where Bemobi Tech's Beneish M-Score falls into.
Bemobi Tech 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 Bemobi Tech 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 * 0.9207 | + | 0.528 * 1.0487 | + | 0.404 * 1.061 | + | 0.892 * 1.1052 | + | 0.115 * 1.0496 |
| - | 0.172 * SGAI | + | 4.679 * TATA | - | 0.327 * LVGI |
| - | 0.172 * 0.9833 | + | 4.679 * -0.052084 | - | 0.327 * 0.9815 |
| = | -2.64 |
* 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 (Sep24) TTM: | Last Year (Sep23) TTM: |
Total Receivables was R$322 Mil.
Revenue was 381.337 + 364.513 + 352.382 + 346.925 = R$1,445 Mil.
Gross Profit was 85.58 + 83.77 + 80.676 + 80.713 = R$331 Mil.
Total Current Assets was R$970 Mil.
Total Assets was R$1,509 Mil.
Property, Plant and Equipment(Net PPE) was R$17 Mil.
Depreciation, Depletion and Amortization(DDA) was R$63 Mil.
Selling, General, & Admin. Expense(SGA) was R$95 Mil.
Total Current Liabilities was R$295 Mil.
Long-Term Debt & Capital Lease Obligation was R$2 Mil.
Net Income was 20.137 + 36.052 + 21.862 + 40.666 = R$119 Mil.
Non Operating Income was 0 + 0 + 0 + 0 = R$0 Mil.
Cash Flow from Operations was 69.782 + 20.061 + 50.115 + 57.328 = R$197 Mil.
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Total Receivables was R$316 Mil.
Revenue was 326.064 + 318.858 + 315.997 + 346.689 = R$1,308 Mil.
Gross Profit was 75.322 + 75.362 + 79.038 + 84.109 = R$314 Mil.
Total Current Assets was R$927 Mil.
Total Assets was R$1,394 Mil.
Property, Plant and Equipment(Net PPE) was R$12 Mil.
Depreciation, Depletion and Amortization(DDA) was R$61 Mil.
Selling, General, & Admin. Expense(SGA) was R$87 Mil.
Total Current Liabilities was R$277 Mil.
Long-Term Debt & Capital Lease Obligation was R$3 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) |
| = | (321.924 / 1445.157) | / | (316.377 / 1307.608) |
| = | 0.222761 | / | 0.241951 |
| | = | 0.9207 |
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) |
| = | (313.831 / 1307.608) | / | (330.739 / 1445.157) |
| = | 0.240004 | / | 0.22886 |
| | = | 1.0487 |
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 - (970.089 + 16.74) / 1508.511) | / | (1 - (926.838 + 12.471) / 1393.536) |
| = | 0.345826 | / | 0.325953 |
| | = | 1.061 |
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 |
| = | 1445.157 | / | 1307.608 |
| | = | 1.1052 |
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)) |
| = | (60.725 / (60.725 + 12.471)) | / | (63.139 / (63.139 + 16.74)) |
| = | 0.829622 | / | 0.790433 |
| | = | 1.0496 |
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) |
| = | (94.912 / 1445.157) | / | (87.335 / 1307.608) |
| = | 0.065676 | / | 0.06679 |
| | = | 0.9833 |
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) |
| = | ((2.142 + 295.394) / 1508.511) | / | ((2.972 + 277.073) / 1393.536) |
| = | 0.197238 | / | 0.20096 |
| | = | 0.9815 |
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 |
| = | (118.717 - 0 | - | 197.286) | / | 1508.511 |
| | = | -0.052084 |
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.
Bemobi Tech has a M-score of -2.64 suggests that the company is unlikely to be a manipulator.
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