Hong Fok Beneish M-Score Historical Data
The historical data trend for Hong Fok'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.
Hong Fok Beneish M-Score Chart
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Hong Fok Annual Data
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Trend |
Dec15 |
Dec16 |
Dec17 |
Dec18 |
Dec19 |
Dec20 |
Dec21 |
Dec22 |
Dec23 |
Dec24 |
| Beneish M-Score |
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-1.71 |
-2.64 |
-2.22 |
-2.28 |
-0.19 |
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Hong Fok Semi-Annual Data
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Jun15 |
Dec15 |
Jun16 |
Dec16 |
Jun17 |
Dec17 |
Jun18 |
Dec18 |
Jun19 |
Dec19 |
Jun20 |
Dec20 |
Jun21 |
Dec21 |
Jun22 |
Dec22 |
Jun23 |
Dec23 |
Jun24 |
Dec24 |
| Beneish M-Score |
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-2.22 |
- |
-2.28 |
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-0.19 |
Competitive Comparison of Hong Fok's Beneish M-Score
For the Real Estate Services subindustry, Hong Fok'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.
Hong Fok's Beneish M-Score Distribution in the Real Estate Industry
For the Real Estate industry and Real Estate sector, Hong Fok's Beneish M-Score distribution charts can be found below:
* The bar in red indicates where Hong Fok's Beneish M-Score falls into.
Hong Fok 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 Hong Fok 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 * 3.4933 | + | 0.528 * 1.0061 | + | 0.404 * 1.0126 | + | 0.892 * 0.9432 | + | 0.115 * 1.7375 |
| - | 0.172 * SGAI | + | 4.679 * TATA | - | 0.327 * LVGI |
| - | 0.172 * 1.2197 | + | 4.679 * -0.007212 | - | 0.327 * 0.9291 |
| = | -0.19 |
* 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 (Dec24) TTM: | Last Year (Dec23) TTM: |
Total Receivables was S$5.9 Mil.
Revenue was S$104.3 Mil.
Gross Profit was S$83.3 Mil.
Total Current Assets was S$147.1 Mil.
Total Assets was S$3,650.3 Mil.
Property, Plant and Equipment(Net PPE) was S$2.9 Mil.
Depreciation, Depletion and Amortization(DDA) was S$0.8 Mil.
Selling, General, & Admin. Expense(SGA) was S$1.3 Mil.
Total Current Liabilities was S$44.1 Mil.
Long-Term Debt & Capital Lease Obligation was S$659.3 Mil.
Net Income was S$23.7 Mil.
Gross Profit was S$0.0 Mil.
Cash Flow from Operations was S$50.1 Mil.
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Total Receivables was S$1.8 Mil.
Revenue was S$110.6 Mil.
Gross Profit was S$88.9 Mil.
Total Current Assets was S$192.8 Mil.
Total Assets was S$3,665.2 Mil.
Property, Plant and Equipment(Net PPE) was S$1.7 Mil.
Depreciation, Depletion and Amortization(DDA) was S$1.0 Mil.
Selling, General, & Admin. Expense(SGA) was S$1.1 Mil.
Total Current Liabilities was S$47.4 Mil.
Long-Term Debt & Capital Lease Obligation was S$712.7 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) |
| = | (5.888 / 104.319) | / | (1.787 / 110.601) |
| = | 0.056442 | / | 0.016157 |
| | = | 3.4933 |
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) |
| = | (88.911 / 110.601) | / | (83.349 / 104.319) |
| = | 0.80389 | / | 0.798982 |
| | = | 1.0061 |
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 - (147.08 + 2.89) / 3650.318) | / | (1 - (192.766 + 1.664) / 3665.23) |
| = | 0.958916 | / | 0.946953 |
| | = | 1.0126 |
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 |
| = | 104.319 | / | 110.601 |
| | = | 0.9432 |
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)) |
| = | (0.993 / (0.993 + 1.664)) | / | (0.792 / (0.792 + 2.89)) |
| = | 0.37373 | / | 0.2151 |
| | = | 1.7375 |
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) |
| = | (1.3 / 104.319) | / | (1.13 / 110.601) |
| = | 0.012462 | / | 0.010217 |
| | = | 1.2197 |
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) |
| = | ((659.252 + 44.141) / 3650.318) | / | ((712.733 + 47.436) / 3665.23) |
| = | 0.192694 | / | 0.2074 |
| | = | 0.9291 |
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 |
| = | (23.744 - 0 | - | 50.07) | / | 3650.318 |
| | = | -0.007212 |
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.
Hong Fok has a M-score of -0.19 signals that the company is likely to be a manipulator.
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