Megaworld Beneish M-Score Historical Data
The historical data trend for Megaworld'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.
Megaworld Beneish M-Score Chart
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Megaworld Annual Data
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Dec14 |
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Dec17 |
Dec18 |
Dec19 |
Dec20 |
Dec21 |
Dec22 |
Dec23 |
| Beneish M-Score |
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-2.39 |
-2.44 |
-2.36 |
-2.34 |
-2.24 |
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Megaworld Quarterly Data
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Dec19 |
Mar20 |
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Dec23 |
Mar24 |
Jun24 |
Sep24 |
| Beneish M-Score |
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-2.24 |
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Competitive Comparison of Megaworld's Beneish M-Score
For the Real Estate - Development subindustry, Megaworld'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.
Megaworld's Beneish M-Score Distribution in the Real Estate Industry
For the Real Estate industry and Real Estate sector, Megaworld's Beneish M-Score distribution charts can be found below:
* The bar in red indicates where Megaworld's Beneish M-Score falls into.
Megaworld 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 Megaworld 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 * 0.9203 | + | 0.528 * 1.01 | + | 0.404 * 1.0175 | + | 0.892 * 1.1683 | + | 0.115 * 0.9673 |
| - | 0.172 * SGAI | + | 4.679 * TATA | - | 0.327 * LVGI |
| - | 0.172 * 0.9728 | + | 4.679 * 0.029833 | - | 0.327 * 0.975 |
| = | -2.24 |
* 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 $805 Mil.
Revenue was $1,117 Mil.
Gross Profit was $704 Mil.
Total Current Assets was $4,141 Mil.
Total Assets was $7,646 Mil.
Property, Plant and Equipment(Net PPE) was $126 Mil.
Depreciation, Depletion and Amortization(DDA) was $60 Mil.
Selling, General, & Admin. Expense(SGA) was $31 Mil.
Total Current Liabilities was $1,325 Mil.
Long-Term Debt & Capital Lease Obligation was $1,297 Mil.
Net Income was $301 Mil.
Gross Profit was $0 Mil.
Cash Flow from Operations was $73 Mil.
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Total Receivables was $749 Mil.
Revenue was $956 Mil.
Gross Profit was $609 Mil.
Total Current Assets was $3,893 Mil.
Total Assets was $7,101 Mil.
Property, Plant and Equipment(Net PPE) was $125 Mil.
Depreciation, Depletion and Amortization(DDA) was $57 Mil.
Selling, General, & Admin. Expense(SGA) was $27 Mil.
Total Current Liabilities was $1,306 Mil.
Long-Term Debt & Capital Lease Obligation was $1,192 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) |
| = | (804.979 / 1117.303) | / | (748.667 / 956.34) |
| = | 0.720466 | / | 0.782846 |
| | = | 0.9203 |
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) |
| = | (608.959 / 956.34) | / | (704.441 / 1117.303) |
| = | 0.63676 | / | 0.630483 |
| | = | 1.01 |
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 - (4141.325 + 126.22) / 7645.741) | / | (1 - (3892.791 + 124.896) / 7101.496) |
| = | 0.44184 | / | 0.434248 |
| | = | 1.0175 |
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 |
| = | 1117.303 | / | 956.34 |
| | = | 1.1683 |
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)) |
| = | (56.916 / (56.916 + 124.896)) | / | (60.398 / (60.398 + 126.22)) |
| = | 0.313049 | / | 0.323645 |
| | = | 0.9673 |
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) |
| = | (31.097 / 1117.303) | / | (27.362 / 956.34) |
| = | 0.027832 | / | 0.028611 |
| | = | 0.9728 |
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) |
| = | ((1296.782 + 1325.423) / 7645.741) | / | ((1191.987 + 1305.964) / 7101.496) |
| = | 0.342963 | / | 0.35175 |
| | = | 0.975 |
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 |
| = | (301.014 - 0 | - | 72.919) | / | 7645.741 |
| | = | 0.029833 |
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.
Megaworld has a M-score of -2.24 suggests that the company is unlikely to be a manipulator.
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