GDH Guangnan (Holdings) Beneish M-Score Historical Data
The historical data trend for GDH Guangnan (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.
GDH Guangnan (Holdings) Beneish M-Score Chart
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GDH Guangnan (Holdings) Annual Data
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Trend |
Dec14 |
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Dec17 |
Dec18 |
Dec19 |
Dec20 |
Dec21 |
Dec22 |
Dec23 |
| Beneish M-Score |
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-2.83 |
-2.00 |
-2.64 |
-2.06 |
-2.49 |
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GDH Guangnan (Holdings) Quarterly Data
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Dec16 |
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Sep24 |
| Beneish M-Score |
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-2.49 |
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Competitive Comparison of GDH Guangnan (Holdings)'s Beneish M-Score
For the Farm Products subindustry, GDH Guangnan (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.
GDH Guangnan (Holdings)'s Beneish M-Score Distribution in the Consumer Packaged Goods Industry
For the Consumer Packaged Goods industry and Consumer Defensive sector, GDH Guangnan (Holdings)'s Beneish M-Score distribution charts can be found below:
* The bar in red indicates where GDH Guangnan (Holdings)'s Beneish M-Score falls into.
GDH Guangnan (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 GDH Guangnan (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 * 0.8962 | + | 0.528 * 1.2262 | + | 0.404 * 0.8044 | + | 0.892 * 1.2495 | + | 0.115 * 0.8313 |
| - | 0.172 * SGAI | + | 4.679 * TATA | - | 0.327 * LVGI |
| - | 0.172 * 0.8502 | + | 4.679 * -0.040509 | - | 0.327 * 0.9676 |
| = | -2.49 |
* 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$1,038 Mil.
Revenue was HK$10,386 Mil.
Gross Profit was HK$569 Mil.
Total Current Assets was HK$2,570 Mil.
Total Assets was HK$4,789 Mil.
Property, Plant and Equipment(Net PPE) was HK$1,731 Mil.
Depreciation, Depletion and Amortization(DDA) was HK$111 Mil.
Selling, General, & Admin. Expense(SGA) was HK$245 Mil.
Total Current Liabilities was HK$1,365 Mil.
Long-Term Debt & Capital Lease Obligation was HK$535 Mil.
Net Income was HK$66 Mil.
Gross Profit was HK$0 Mil.
Cash Flow from Operations was HK$260 Mil.
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Total Receivables was HK$927 Mil.
Revenue was HK$8,312 Mil.
Gross Profit was HK$558 Mil.
Total Current Assets was HK$2,683 Mil.
Total Assets was HK$4,884 Mil.
Property, Plant and Equipment(Net PPE) was HK$1,581 Mil.
Depreciation, Depletion and Amortization(DDA) was HK$84 Mil.
Selling, General, & Admin. Expense(SGA) was HK$230 Mil.
Total Current Liabilities was HK$1,721 Mil.
Long-Term Debt & Capital Lease Obligation was HK$282 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) |
| = | (1037.826 / 10385.807) | / | (926.772 / 8311.752) |
| = | 0.099927 | / | 0.111501 |
| | = | 0.8962 |
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) |
| = | (558.379 / 8311.752) | / | (568.992 / 10385.807) |
| = | 0.067179 | / | 0.054786 |
| | = | 1.2262 |
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 - (2569.664 + 1730.678) / 4789.001) | / | (1 - (2683.261 + 1581.249) / 4884.006) |
| = | 0.102038 | / | 0.126842 |
| | = | 0.8044 |
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 |
| = | 10385.807 | / | 8311.752 |
| | = | 1.2495 |
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)) |
| = | (83.65 / (83.65 + 1581.249)) | / | (111.333 / (111.333 + 1730.678)) |
| = | 0.050243 | / | 0.060441 |
| | = | 0.8313 |
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) |
| = | (244.854 / 10385.807) | / | (230.484 / 8311.752) |
| = | 0.023576 | / | 0.02773 |
| | = | 0.8502 |
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) |
| = | ((535.426 + 1364.809) / 4789.001) | / | ((281.57 + 1721.256) / 4884.006) |
| = | 0.396792 | / | 0.410079 |
| | = | 0.9676 |
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 |
| = | (65.924 - 0 | - | 259.921) | / | 4789.001 |
| | = | -0.040509 |
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.
GDH Guangnan (Holdings) has a M-score of -2.49 suggests that the company is unlikely to be a manipulator.
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