Magnus Concordia Group Beneish M-Score Historical Data
The historical data trend for Magnus Concordia Group'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.
Magnus Concordia Group Beneish M-Score Chart
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Magnus Concordia Group Annual Data
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Mar14 |
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Mar19 |
Mar20 |
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Mar23 |
| Beneish M-Score |
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-2.52 |
-2.55 |
3.46 |
-3.07 |
-3.52 |
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Magnus Concordia Group Semi-Annual Data
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Sep23 |
| Beneish M-Score |
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-3.07 |
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-3.52 |
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Competitive Comparison of Magnus Concordia Group's Beneish M-Score
For the Real Estate - Development subindustry, Magnus Concordia Group'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.
Magnus Concordia Group's Beneish M-Score Distribution in the Real Estate Industry
For the Real Estate industry and Real Estate sector, Magnus Concordia Group's Beneish M-Score distribution charts can be found below:
* The bar in red indicates where Magnus Concordia Group's Beneish M-Score falls into.
Magnus Concordia Group 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 Magnus Concordia Group 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 * 2.8103 | + | 0.528 * 0.2599 | + | 0.404 * 1.494 | + | 0.892 * 0.2626 | + | 0.115 * 0.979 |
| - | 0.172 * SGAI | + | 4.679 * TATA | - | 0.327 * LVGI |
| - | 0.172 * 2.629 | + | 4.679 * -0.316932 | - | 0.327 * 1.2846 |
| = | -3.52 |
* 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 (Mar23) TTM: | Last Year (Mar22) TTM: |
Total Receivables was HK$41.9 Mil.
Revenue was HK$416.8 Mil.
Gross Profit was HK$58.1 Mil.
Total Current Assets was HK$563.4 Mil.
Total Assets was HK$1,003.8 Mil.
Property, Plant and Equipment(Net PPE) was HK$17.4 Mil.
Depreciation, Depletion and Amortization(DDA) was HK$6.3 Mil.
Selling, General, & Admin. Expense(SGA) was HK$76.5 Mil.
Total Current Liabilities was HK$676.8 Mil.
Long-Term Debt & Capital Lease Obligation was HK$23.0 Mil.
Net Income was HK$-352.8 Mil.
Gross Profit was HK$0.0 Mil.
Cash Flow from Operations was HK$-34.7 Mil.
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Total Receivables was HK$56.8 Mil.
Revenue was HK$1,587.3 Mil.
Gross Profit was HK$57.5 Mil.
Total Current Assets was HK$1,074.0 Mil.
Total Assets was HK$1,528.4 Mil.
Property, Plant and Equipment(Net PPE) was HK$23.3 Mil.
Depreciation, Depletion and Amortization(DDA) was HK$8.2 Mil.
Selling, General, & Admin. Expense(SGA) was HK$110.8 Mil.
Total Current Liabilities was HK$828.4 Mil.
Long-Term Debt & Capital Lease Obligation was HK$1.1 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) |
| = | (41.897 / 416.828) | / | (56.773 / 1587.349) |
| = | 0.100514 | / | 0.035766 |
| | = | 2.8103 |
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) |
| = | (57.499 / 1587.349) | / | (58.089 / 416.828) |
| = | 0.036223 | / | 0.13936 |
| | = | 0.2599 |
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 - (563.425 + 17.415) / 1003.773) | / | (1 - (1074.036 + 23.332) / 1528.412) |
| = | 0.421343 | / | 0.282021 |
| | = | 1.494 |
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 |
| = | 416.828 | / | 1587.349 |
| | = | 0.2626 |
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)) |
| = | (8.205 / (8.205 + 23.332)) | / | (6.303 / (6.303 + 17.415)) |
| = | 0.260171 | / | 0.265748 |
| | = | 0.979 |
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) |
| = | (76.467 / 416.828) | / | (110.763 / 1587.349) |
| = | 0.18345 | / | 0.069779 |
| | = | 2.629 |
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) |
| = | ((22.98 + 676.811) / 1003.773) | / | ((1.1 + 828.357) / 1528.412) |
| = | 0.697161 | / | 0.542692 |
| | = | 1.2846 |
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 |
| = | (-352.847 - 0 | - | -34.719) | / | 1003.773 |
| | = | -0.316932 |
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.
Magnus Concordia Group has a M-score of -3.52 suggests that the company is unlikely to be a manipulator.
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