SCI Electric PCL Beneish M-Score Historical Data
The historical data trend for SCI Electric 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.
SCI Electric PCL Beneish M-Score Chart
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SCI Electric PCL Annual Data
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Trend |
Dec15 |
Dec16 |
Dec17 |
Dec18 |
Dec19 |
Dec20 |
Dec21 |
Dec22 |
Dec23 |
Dec24 |
| Beneish M-Score |
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-2.77 |
-2.44 |
-4.61 |
-5.09 |
-3.41 |
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SCI Electric PCL Quarterly Data
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Mar20 |
Jun20 |
Sep20 |
Dec20 |
Mar21 |
Jun21 |
Sep21 |
Dec21 |
Mar22 |
Jun22 |
Sep22 |
Dec22 |
Mar23 |
Jun23 |
Sep23 |
Dec23 |
Mar24 |
Jun24 |
Sep24 |
Dec24 |
| Beneish M-Score |
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-5.09 |
-4.93 |
-3.54 |
-3.17 |
-3.41 |
Competitive Comparison of SCI Electric PCL's Beneish M-Score
For the Electrical Equipment & Parts subindustry, SCI Electric 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.
SCI Electric PCL's Beneish M-Score Distribution in the Industrial Products Industry
For the Industrial Products industry and Industrials sector, SCI Electric PCL's Beneish M-Score distribution charts can be found below:
* The bar in red indicates where SCI Electric PCL's Beneish M-Score falls into.
SCI Electric 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 SCI Electric 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 * 0.7181 | + | 0.528 * 0.3984 | + | 0.404 * 0.8329 | + | 0.892 * 0.8226 | + | 0.115 * 1.2618 |
| - | 0.172 * SGAI | + | 4.679 * TATA | - | 0.327 * LVGI |
| - | 0.172 * 1.1624 | + | 4.679 * -0.039399 | - | 0.327 * 0.8375 |
| = | -3.41 |
* 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 ฿196 Mil.
Revenue was 166.866 + 391.878 + 382.406 + 360.759 = ฿1,302 Mil.
Gross Profit was 7.808 + 8.23 + 19.856 + 5.306 = ฿41 Mil.
Total Current Assets was ฿715 Mil.
Total Assets was ฿1,120 Mil.
Property, Plant and Equipment(Net PPE) was ฿117 Mil.
Depreciation, Depletion and Amortization(DDA) was ฿35 Mil.
Selling, General, & Admin. Expense(SGA) was ฿145 Mil.
Total Current Liabilities was ฿252 Mil.
Long-Term Debt & Capital Lease Obligation was ฿278 Mil.
Net Income was -173.72 + -47.844 + -18.579 + -31.905 = ฿-272 Mil.
Non Operating Income was -141.705 + -22.013 + 5.24 + 0.169 = ฿-158 Mil.
Cash Flow from Operations was -46.963 + 58.666 + -38.551 + -42.767 = ฿-70 Mil.
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Total Receivables was ฿331 Mil.
Revenue was 423.709 + 413.897 + 422.058 + 323.104 = ฿1,583 Mil.
Gross Profit was 13.535 + 20.167 + -10.666 + -3.081 = ฿20 Mil.
Total Current Assets was ฿1,070 Mil.
Total Assets was ฿1,735 Mil.
Property, Plant and Equipment(Net PPE) was ฿128 Mil.
Depreciation, Depletion and Amortization(DDA) was ฿53 Mil.
Selling, General, & Admin. Expense(SGA) was ฿151 Mil.
Total Current Liabilities was ฿979 Mil.
Long-Term Debt & Capital Lease Obligation was ฿1 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) |
| = | (195.627 / 1301.909) | / | (331.171 / 1582.768) |
| = | 0.150262 | / | 0.209235 |
| | = | 0.7181 |
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) |
| = | (19.955 / 1582.768) | / | (41.2 / 1301.909) |
| = | 0.012608 | / | 0.031646 |
| | = | 0.3984 |
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 - (714.631 + 116.62) / 1119.926) | / | (1 - (1069.888 + 127.935) / 1734.686) |
| = | 0.257763 | / | 0.309487 |
| | = | 0.8329 |
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 |
| = | 1301.909 | / | 1582.768 |
| | = | 0.8226 |
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)) |
| = | (53.057 / (53.057 + 127.935)) | / | (35.293 / (35.293 + 116.62)) |
| = | 0.293146 | / | 0.232324 |
| | = | 1.2618 |
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) |
| = | (144.82 / 1301.909) | / | (151.464 / 1582.768) |
| = | 0.111237 | / | 0.095696 |
| | = | 1.1624 |
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) |
| = | ((277.532 + 252.319) / 1119.926) | / | ((0.823 + 979.114) / 1734.686) |
| = | 0.473113 | / | 0.564907 |
| | = | 0.8375 |
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 |
| = | (-272.048 - -158.309 | - | -69.615) | / | 1119.926 |
| | = | -0.039399 |
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.
SCI Electric PCL has a M-score of -3.41 suggests that the company is unlikely to be a manipulator.
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