Toray Textiles (Thailand) PCL Beneish M-Score Historical Data
The historical data trend for Toray Textiles (Thailand) 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.
Toray Textiles (Thailand) PCL Beneish M-Score Chart
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Toray Textiles (Thailand) PCL Annual Data
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Trend |
Mar18 |
Mar19 |
Mar20 |
Mar21 |
Mar22 |
Mar23 |
| Beneish M-Score |
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- |
-2.60 |
-4.93 |
-3.36 |
-2.77 |
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Toray Textiles (Thailand) PCL Quarterly Data
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Mar19 |
Jun19 |
Sep19 |
Dec19 |
Mar20 |
Jun20 |
Sep20 |
Dec20 |
Mar21 |
Jun21 |
Sep21 |
Dec21 |
Mar22 |
Jun22 |
Sep22 |
Dec22 |
Mar23 |
Jun23 |
Sep23 |
Dec23 |
| Beneish M-Score |
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-2.64 |
-2.77 |
-2.80 |
-2.79 |
-2.96 |
Competitive Comparison of Toray Textiles (Thailand) PCL's Beneish M-Score
For the Textile Manufacturing subindustry, Toray Textiles (Thailand) 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.
Toray Textiles (Thailand) PCL's Beneish M-Score Distribution in the Manufacturing - Apparel & Accessories Industry
For the Manufacturing - Apparel & Accessories industry and Consumer Cyclical sector, Toray Textiles (Thailand) PCL's Beneish M-Score distribution charts can be found below:
* The bar in red indicates where Toray Textiles (Thailand) PCL's Beneish M-Score falls into.
Toray Textiles (Thailand) PCL 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 Toray Textiles (Thailand) 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 * 1.0046 | + | 0.528 * 0.9479 | + | 0.404 * 1.0239 | + | 0.892 * 0.9669 | + | 0.115 * 0.9718 |
| - | 0.172 * SGAI | + | 4.679 * TATA | - | 0.327 * LVGI |
| - | 0.172 * 0.9629 | + | 4.679 * -0.093687 | - | 0.327 * 0.9991 |
| = | -2.96 |
* 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 ฿1,989 Mil.
Revenue was 2520.078 + 2415.579 + 2168.482 + 2378.144 = ฿9,482 Mil.
Gross Profit was 241.977 + 183.042 + 58.745 + 68.107 = ฿552 Mil.
Total Current Assets was ฿4,611 Mil.
Total Assets was ฿8,732 Mil.
Property, Plant and Equipment(Net PPE) was ฿2,036 Mil.
Depreciation, Depletion and Amortization(DDA) was ฿505 Mil.
Selling, General, & Admin. Expense(SGA) was ฿551 Mil.
Total Current Liabilities was ฿1,129 Mil.
Long-Term Debt & Capital Lease Obligation was ฿273 Mil.
Net Income was 105.784 + 88.629 + -23.678 + -67.799 = ฿103 Mil.
Non Operating Income was 26.34 + 40.854 + 35.712 + -6.498 = ฿96 Mil.
Cash Flow from Operations was 258.552 + 203.423 + 109.611 + 253.023 = ฿825 Mil.
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Total Receivables was ฿2,048 Mil.
Revenue was 2625.11 + 2646.452 + 2224.92 + 2310.745 = ฿9,807 Mil.
Gross Profit was 143.378 + 223.971 + 101.671 + 72.048 = ฿541 Mil.
Total Current Assets was ฿4,328 Mil.
Total Assets was ฿8,734 Mil.
Property, Plant and Equipment(Net PPE) was ฿2,369 Mil.
Depreciation, Depletion and Amortization(DDA) was ฿567 Mil.
Selling, General, & Admin. Expense(SGA) was ฿592 Mil.
Total Current Liabilities was ฿1,119 Mil.
Long-Term Debt & Capital Lease Obligation was ฿284 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) |
| = | (1988.766 / 9482.283) | / | (2047.5 / 9807.227) |
| = | 0.209735 | / | 0.208775 |
| | = | 1.0046 |
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) |
| = | (541.068 / 9807.227) | / | (551.871 / 9482.283) |
| = | 0.05517 | / | 0.0582 |
| | = | 0.9479 |
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 - (4611.278 + 2035.779) / 8732.046) | / | (1 - (4328.215 + 2368.665) / 8733.634) |
| = | 0.238774 | / | 0.233208 |
| | = | 1.0239 |
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 |
| = | 9482.283 | / | 9807.227 |
| | = | 0.9669 |
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)) |
| = | (566.931 / (566.931 + 2368.665)) | / | (504.933 / (504.933 + 2035.779)) |
| = | 0.193123 | / | 0.198737 |
| | = | 0.9718 |
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) |
| = | (550.812 / 9482.283) | / | (591.67 / 9807.227) |
| = | 0.058089 | / | 0.06033 |
| | = | 0.9629 |
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) |
| = | ((272.989 + 1128.952) / 8732.046) | / | ((284.298 + 1119.121) / 8733.634) |
| = | 0.160551 | / | 0.160691 |
| | = | 0.9991 |
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 |
| = | (102.936 - 96.408 | - | 824.609) | / | 8732.046 |
| | = | -0.093687 |
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.
Toray Textiles (Thailand) PCL has a M-score of -2.96 suggests that the company is unlikely to be a manipulator.
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