B-Lot Co Beneish M-Score Historical Data
The historical data trend for B-Lot 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.
B-Lot Co Beneish M-Score Chart
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B-Lot Co Annual Data
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Trend |
Dec14 |
Dec15 |
Dec16 |
Dec17 |
Dec18 |
Dec19 |
Dec20 |
Dec21 |
Dec22 |
Dec23 |
| Beneish M-Score |
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-1.69 |
-0.80 |
-2.42 |
-1.31 |
-2.46 |
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B-Lot Co Quarterly Data
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Mar19 |
Jun19 |
Sep19 |
Dec19 |
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Dec20 |
Mar21 |
Jun21 |
Sep21 |
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Dec22 |
Mar23 |
Jun23 |
Sep23 |
Dec23 |
| Beneish M-Score |
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-1.31 |
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-2.46 |
Competitive Comparison of B-Lot Co's Beneish M-Score
For the Real Estate Services subindustry, B-Lot 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.
B-Lot Co's Beneish M-Score Distribution in the Real Estate Industry
For the Real Estate industry and Real Estate sector, B-Lot Co's Beneish M-Score distribution charts can be found below:
* The bar in red indicates where B-Lot Co's Beneish M-Score falls into.
B-Lot 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 B-Lot 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 * 0.9007 | + | 0.528 * 0.8092 | + | 0.404 * 1.1302 | + | 0.892 * 1.1808 | + | 0.115 * 1.9934 |
| - | 0.172 * SGAI | + | 4.679 * TATA | - | 0.327 * LVGI |
| - | 0.172 * 1 | + | 4.679 * -0.029997 | - | 0.327 * 0.9332 |
| = | -2.46 |
* 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268 Mil.
Revenue was 円23,510 Mil.
Gross Profit was 円8,651 Mil.
Total Current Assets was 円48,263 Mil.
Total Assets was 円57,240 Mil.
Property, Plant and Equipment(Net PPE) was 円5,299 Mil.
Depreciation, Depletion and Amortization(DDA) was 円306 Mil.
Selling, General, & Admin. Expense(SGA) was 円0 Mil.
Total Current Liabilities was 円16,747 Mil.
Long-Term Debt & Capital Lease Obligation was 円24,663 Mil.
Net Income was 円3,297 Mil.
Gross Profit was 円0 Mil.
Cash Flow from Operations was 円5,014 Mil.
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Total Receivables was 円252 Mil.
Revenue was 円19,911 Mil.
Gross Profit was 円5,929 Mil.
Total Current Assets was 円51,781 Mil.
Total Assets was 円56,005 Mil.
Property, Plant and Equipment(Net PPE) was 円1,040 Mil.
Depreciation, Depletion and Amortization(DDA) was 円127 Mil.
Selling, General, & Admin. Expense(SGA) was 円0 Mil.
Total Current Liabilities was 円17,018 Mil.
Long-Term Debt & Capital Lease Obligation was 円26,399 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) |
| = | (268 / 23510) | / | (252 / 19911) |
| = | 0.011399 | / | 0.012656 |
| | = | 0.9007 |
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) |
| = | (5929 / 19911) | / | (8651 / 23510) |
| = | 0.297775 | / | 0.367971 |
| | = | 0.8092 |
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 - (48263 + 5299) / 57240) | / | (1 - (51781 + 1040) / 56005) |
| = | 0.064256 | / | 0.056852 |
| | = | 1.1302 |
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 |
| = | 23510 | / | 19911 |
| | = | 1.1808 |
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)) |
| = | (127 / (127 + 1040)) | / | (306 / (306 + 5299)) |
| = | 0.108826 | / | 0.054594 |
| | = | 1.9934 |
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) |
| = | (0 / 23510) | / | (0 / 19911) |
| = | 0 | / | 0 |
| | = | 1 |
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) |
| = | ((24663 + 16747) / 57240) | / | ((26399 + 17018) / 56005) |
| = | 0.723445 | / | 0.775234 |
| | = | 0.9332 |
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 |
| = | (3297 - 0 | - | 5014) | / | 57240 |
| | = | -0.029997 |
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.
B-Lot Co has a M-score of -2.46 suggests that the company is unlikely to be a manipulator.
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