Brainzcompany Co Beneish M-Score Historical Data
The historical data trend for Brainzcompany 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.
Brainzcompany Co Beneish M-Score Chart
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Brainzcompany Co Annual Data
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Trend |
Dec19 |
Dec20 |
Dec21 |
Dec22 |
Dec23 |
| Beneish M-Score |
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- |
- |
- |
-2.47 |
-1.66 |
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Brainzcompany Co Quarterly Data
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Mar20 |
Sep20 |
Dec20 |
Mar21 |
Jun21 |
Sep21 |
Dec21 |
Mar22 |
Jun22 |
Sep22 |
Dec22 |
Mar23 |
Jun23 |
Sep23 |
Dec23 |
Mar24 |
Jun24 |
Sep24 |
| Beneish M-Score |
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-1.91 |
-1.66 |
-2.23 |
-2.27 |
-2.33 |
Competitive Comparison of Brainzcompany Co's Beneish M-Score
For the Information Technology Services subindustry, Brainzcompany 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.
Brainzcompany Co's Beneish M-Score Distribution in the Software Industry
For the Software industry and Technology sector, Brainzcompany Co's Beneish M-Score distribution charts can be found below:
* The bar in red indicates where Brainzcompany Co's Beneish M-Score falls into.
Brainzcompany 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 Brainzcompany 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 * 0.7841 | + | 0.528 * 1.2782 | + | 0.404 * 0.8669 | + | 0.892 * 1.1304 | + | 0.115 * 1.1837 |
| - | 0.172 * SGAI | + | 4.679 * TATA | - | 0.327 * LVGI |
| - | 0.172 * 0.7532 | + | 4.679 * 0.007482 | - | 0.327 * 0.867 |
| = | -2.33 |
* 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 ₩2,702 Mil.
Revenue was 5262.875 + 5837.592 + 4445.192 + 11377.125 = ₩26,923 Mil.
Gross Profit was 1928.599 + 2960.303 + 1393.456 + 6283.585 = ₩12,566 Mil.
Total Current Assets was ₩38,861 Mil.
Total Assets was ₩51,028 Mil.
Property, Plant and Equipment(Net PPE) was ₩1,292 Mil.
Depreciation, Depletion and Amortization(DDA) was ₩589 Mil.
Selling, General, & Admin. Expense(SGA) was ₩1,554 Mil.
Total Current Liabilities was ₩2,324 Mil.
Long-Term Debt & Capital Lease Obligation was ₩1,179 Mil.
Net Income was 3.464 + 762.124 + -622.756 + 3396.29 = ₩3,539 Mil.
Non Operating Income was 0 + 0 + 0 + 0 = ₩0 Mil.
Cash Flow from Operations was -385.89 + 270.746 + 731.867 + 2540.584 = ₩3,157 Mil.
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Total Receivables was ₩3,049 Mil.
Revenue was 5364.007 + 5725.929 + 3352.229 + 9374.308 = ₩23,816 Mil.
Gross Profit was 3084.7 + 3396.96 + 1306.619 + 6420.734 = ₩14,209 Mil.
Total Current Assets was ₩36,441 Mil.
Total Assets was ₩49,536 Mil.
Property, Plant and Equipment(Net PPE) was ₩917 Mil.
Depreciation, Depletion and Amortization(DDA) was ₩540 Mil.
Selling, General, & Admin. Expense(SGA) was ₩1,825 Mil.
Total Current Liabilities was ₩2,822 Mil.
Long-Term Debt & Capital Lease Obligation was ₩1,100 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) |
| = | (2702.135 / 26922.784) | / | (3048.508 / 23816.473) |
| = | 0.100366 | / | 0.128 |
| | = | 0.7841 |
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) |
| = | (14209.013 / 23816.473) | / | (12565.943 / 26922.784) |
| = | 0.596604 | / | 0.46674 |
| | = | 1.2782 |
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 - (38861.421 + 1292.223) / 51028.295) | / | (1 - (36441.341 + 916.881) / 49535.59) |
| = | 0.21311 | / | 0.245831 |
| | = | 0.8669 |
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 |
| = | 26922.784 | / | 23816.473 |
| | = | 1.1304 |
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)) |
| = | (540.148 / (540.148 + 916.881)) | / | (589.218 / (589.218 + 1292.223)) |
| = | 0.370719 | / | 0.313174 |
| | = | 1.1837 |
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) |
| = | (1553.967 / 26922.784) | / | (1825.107 / 23816.473) |
| = | 0.057719 | / | 0.076632 |
| | = | 0.7532 |
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) |
| = | ((1178.909 + 2323.919) / 51028.295) | / | ((1099.781 + 2822.17) / 49535.59) |
| = | 0.068645 | / | 0.079174 |
| | = | 0.867 |
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 |
| = | (3539.122 - 0 | - | 3157.307) | / | 51028.295 |
| | = | 0.007482 |
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.
Brainzcompany Co has a M-score of -2.33 suggests that the company is unlikely to be a manipulator.
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