Cinda International Holdings Beneish M-Score Historical Data
The historical data trend for Cinda International Holdings'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.
Cinda International Holdings Beneish M-Score Chart
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Cinda International Holdings Annual Data
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Dec15 |
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Dec20 |
Dec21 |
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Dec23 |
Dec24 |
| Beneish M-Score |
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-2.11 |
-2.46 |
-2.41 |
-2.86 |
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Cinda International Holdings Semi-Annual Data
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Jun15 |
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Dec24 |
| Beneish M-Score |
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-2.41 |
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-2.86 |
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Competitive Comparison of Cinda International Holdings's Beneish M-Score
For the Capital Markets subindustry, Cinda International Holdings'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.
Cinda International Holdings's Beneish M-Score Distribution in the Capital Markets Industry
For the Capital Markets industry and Financial Services sector, Cinda International Holdings's Beneish M-Score distribution charts can be found below:
* The bar in red indicates where Cinda International Holdings's Beneish M-Score falls into.
Cinda International Holdings 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 Cinda International Holdings 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 * 0.8123 | + | 0.528 * 0.8191 | + | 0.404 * 1.0171 | + | 0.892 * 1.0596 | + | 0.115 * 0.802 |
| - | 0.172 * SGAI | + | 4.679 * TATA | - | 0.327 * LVGI |
| - | 0.172 * 0.7686 | + | 4.679 * -0.041243 | - | 0.327 * 0.9958 |
| = | -2.86 |
* 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 HK$319.6 Mil.
Revenue was HK$145.1 Mil.
Gross Profit was HK$76.7 Mil.
Total Current Assets was HK$1,118.8 Mil.
Total Assets was HK$1,646.5 Mil.
Property, Plant and Equipment(Net PPE) was HK$34.5 Mil.
Depreciation, Depletion and Amortization(DDA) was HK$23.6 Mil.
Selling, General, & Admin. Expense(SGA) was HK$8.5 Mil.
Total Current Liabilities was HK$696.1 Mil.
Long-Term Debt & Capital Lease Obligation was HK$10.3 Mil.
Net Income was HK$-12.8 Mil.
Gross Profit was HK$0.0 Mil.
Cash Flow from Operations was HK$55.1 Mil.
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Total Receivables was HK$371.3 Mil.
Revenue was HK$136.9 Mil.
Gross Profit was HK$59.3 Mil.
Total Current Assets was HK$1,118.4 Mil.
Total Assets was HK$1,665.7 Mil.
Property, Plant and Equipment(Net PPE) was HK$56.7 Mil.
Depreciation, Depletion and Amortization(DDA) was HK$27.4 Mil.
Selling, General, & Admin. Expense(SGA) was HK$10.5 Mil.
Total Current Liabilities was HK$689.0 Mil.
Long-Term Debt & Capital Lease Obligation was HK$28.6 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) |
| = | (319.602 / 145.065) | / | (371.315 / 136.909) |
| = | 2.203164 | / | 2.71213 |
| | = | 0.8123 |
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) |
| = | (59.317 / 136.909) | / | (76.727 / 145.065) |
| = | 0.433259 | / | 0.528915 |
| | = | 0.8191 |
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 - (1118.777 + 34.475) / 1646.468) | / | (1 - (1118.391 + 56.71) / 1665.71) |
| = | 0.29956 | / | 0.294534 |
| | = | 1.0171 |
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 |
| = | 145.065 | / | 136.909 |
| | = | 1.0596 |
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)) |
| = | (27.404 / (27.404 + 56.71)) | / | (23.586 / (23.586 + 34.475)) |
| = | 0.325796 | / | 0.406228 |
| | = | 0.802 |
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) |
| = | (8.514 / 145.065) | / | (10.455 / 136.909) |
| = | 0.058691 | / | 0.076365 |
| | = | 0.7686 |
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) |
| = | ((10.281 + 696.054) / 1646.468) | / | ((28.645 + 688.952) / 1665.71) |
| = | 0.429 | / | 0.430805 |
| | = | 0.9958 |
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 |
| = | (-12.849 - 0 | - | 55.057) | / | 1646.468 |
| | = | -0.041243 |
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.
Cinda International Holdings has a M-score of -2.86 suggests that the company is unlikely to be a manipulator.
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