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The zones of discrimination for M-Score is as such:
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.
Warning Sign:
Beneish M-Score 10.25 higher than -1.78, which implies that the company might have manipulated its financial results.
The historical rank and industry rank for Supalai PCL's Beneish M-Score or its related term are showing as below:
During the past 13 years, the highest Beneish M-Score of Supalai PCL was 10.25. The lowest was -3.09. And the median was -1.93.
The historical data trend for Supalai PCL'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.
Supalai PCL Annual Data | |||||||||||||||||||||
Trend | Dec14 | Dec15 | Dec16 | Dec17 | Dec18 | Dec19 | Dec20 | Dec21 | Dec22 | Dec23 | |||||||||||
Beneish M-Score | Get a 7-Day Free Trial | -3.09 | -2.02 | -2.14 | -2.19 | -1.66 |
Supalai PCL Quarterly Data | ||||||||||||||||||||
Dec19 | Mar20 | Jun20 | Sep20 | Dec20 | Mar21 | Jun21 | Sep21 | Dec21 | Mar22 | Jun22 | Sep22 | Dec22 | Mar23 | Jun23 | Sep23 | Dec23 | Mar24 | Jun24 | Sep24 | |
Beneish M-Score | Get a 7-Day Free Trial | -2.22 | -1.66 | -1.35 | -1.99 | 10.25 |
For the Real Estate - Development subindustry, Supalai PCL'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.
For the Real Estate industry and Real Estate sector, Supalai PCL's Beneish M-Score distribution charts can be found below:
* The bar in red indicates where Supalai PCL's Beneish M-Score falls into.
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 Supalai PCL 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 * 14.4864 | + | 0.528 * 0.9904 | + | 0.404 * 1.1167 | + | 0.892 * 1.0546 | + | 0.115 * 1.1036 | |
- | 0.172 * SGAI | + | 4.679 * TATA | - | 0.327 * LVGI | |||||||
- | 0.172 * 0.9978 | + | 4.679 * 0.053515 | - | 0.327 * 1.0797 | |||||||
= | 10.25 |
* 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 (Sep24) TTM: | Last Year (Sep23) TTM: |
Total Receivables was ฿588 Mil. Revenue was 9835.736 + 7941.662 + 4580.046 + 10111.316 = ฿32,469 Mil. Gross Profit was 3892.455 + 2870.236 + 1661.055 + 3530.849 = ฿11,955 Mil. Total Current Assets was ฿86,963 Mil. Total Assets was ฿97,876 Mil. Property, Plant and Equipment(Net PPE) was ฿496 Mil. Depreciation, Depletion and Amortization(DDA) was ฿159 Mil. Selling, General, & Admin. Expense(SGA) was ฿4,211 Mil. Total Current Liabilities was ฿35,264 Mil. Long-Term Debt & Capital Lease Obligation was ฿8,869 Mil. Net Income was 1988.71 + 1598.899 + 613.642 + 2017.581 = ฿6,219 Mil. Non Operating Income was 188.336 + 427.967 + 0.261 + 65.687 = ฿682 Mil. Cash Flow from Operations was 831.464 + -552.278 + -2288.662 + 2308.241 = ฿299 Mil. |
Total Receivables was ฿38 Mil. Revenue was 7166.11 + 8165.131 + 5734.047 + 9722.695 = ฿30,788 Mil. Gross Profit was 2619.725 + 2859.235 + 2096.099 + 3651.782 = ฿11,227 Mil. Total Current Assets was ฿77,417 Mil. Total Assets was ฿85,993 Mil. Property, Plant and Equipment(Net PPE) was ฿381 Mil. Depreciation, Depletion and Amortization(DDA) was ฿139 Mil. Selling, General, & Admin. Expense(SGA) was ฿4,002 Mil. Total Current Liabilities was ฿28,473 Mil. Long-Term Debt & Capital Lease Obligation was ฿7,440 Mil. |
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) |
= | (587.95 / 32468.76) | / | (38.474 / 30787.983) | |
= | 0.018108 | / | 0.00125 | |
= | 14.4864 |
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) | |
= | (11226.841 / 30787.983) | / | (11954.595 / 32468.76) | |
= | 0.36465 | / | 0.368188 | |
= | 0.9904 |
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 - (86963.157 + 495.938) / 97876) | / | (1 - (77416.863 + 380.982) / 85993.432) | |
= | 0.10643 | / | 0.095305 | |
= | 1.1167 |
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 | |
= | 32468.76 | / | 30787.983 | |
= | 1.0546 |
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)) |
= | (139.31 / (139.31 + 380.982)) | / | (158.868 / (158.868 + 495.938)) | |
= | 0.267753 | / | 0.242618 | |
= | 1.1036 |
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) |
= | (4211.397 / 32468.76) | / | (4002.244 / 30787.983) | |
= | 0.129706 | / | 0.129994 | |
= | 0.9978 |
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) |
= | ((8869.089 + 35263.642) / 97876) | / | ((7440.024 + 28473.364) / 85993.432) | |
= | 0.450905 | / | 0.417629 | |
= | 1.0797 |
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 | |
= | (6218.832 - 682.251 | - | 298.765) | / | 97876 | |
= | 0.053515 |
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.
Supalai PCL has a M-score of 10.25 signals that the company is likely to be a manipulator.
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