Tellhow Sci-Tech Co Beneish M-Score Historical Data
The historical data trend for Tellhow Sci-Tech Co'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.
Tellhow Sci-Tech Co Beneish M-Score Chart
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Tellhow Sci-Tech Co Annual Data
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Dec14 |
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Dec23 |
| Beneish M-Score |
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-2.88 |
-2.45 |
-2.18 |
-1.85 |
-2.48 |
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Tellhow Sci-Tech Co Quarterly Data
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Dec19 |
Mar20 |
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Sep24 |
| Beneish M-Score |
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-1.76 |
-2.48 |
-2.58 |
-2.59 |
-2.81 |
Competitive Comparison of Tellhow Sci-Tech Co's Beneish M-Score
For the Consumer Electronics subindustry, Tellhow Sci-Tech Co'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.
Tellhow Sci-Tech Co's Beneish M-Score Distribution in the Hardware Industry
For the Hardware industry and Technology sector, Tellhow Sci-Tech Co's Beneish M-Score distribution charts can be found below:
* The bar in red indicates where Tellhow Sci-Tech Co's Beneish M-Score falls into.
Tellhow Sci-Tech Co 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 Tellhow Sci-Tech Co 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 * 1.0788 | + | 0.528 * 1.0246 | + | 0.404 * 1.0753 | + | 0.892 * 0.7806 | + | 0.115 * 1 |
| - | 0.172 * SGAI | + | 4.679 * TATA | - | 0.327 * LVGI |
| - | 0.172 * 1.9277 | + | 4.679 * -0.015534 | - | 0.327 * 1.0565 |
| = | -2.81 |
* 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 ¥3,971 Mil.
Revenue was 833.694 + 865.929 + 883.033 + 1801.212 = ¥4,384 Mil.
Gross Profit was 127.747 + 159.28 + 178.505 + 256.623 = ¥722 Mil.
Total Current Assets was ¥9,269 Mil.
Total Assets was ¥13,395 Mil.
Property, Plant and Equipment(Net PPE) was ¥580 Mil.
Depreciation, Depletion and Amortization(DDA) was ¥0 Mil.
Selling, General, & Admin. Expense(SGA) was ¥263 Mil.
Total Current Liabilities was ¥7,406 Mil.
Long-Term Debt & Capital Lease Obligation was ¥395 Mil.
Net Income was -140.851 + -63.403 + 4.078 + -89.598 = ¥-290 Mil.
Non Operating Income was 0 + 0 + 0 + 0 = ¥0 Mil.
Cash Flow from Operations was 16.268 + 91.684 + 31.907 + -221.557 = ¥-82 Mil.
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Total Receivables was ¥4,715 Mil.
Revenue was 829.858 + 826.555 + 825.073 + 3134.274 = ¥5,616 Mil.
Gross Profit was 159.73 + 192.283 + 168.351 + 427.451 = ¥948 Mil.
Total Current Assets was ¥9,129 Mil.
Total Assets was ¥12,984 Mil.
Property, Plant and Equipment(Net PPE) was ¥658 Mil.
Depreciation, Depletion and Amortization(DDA) was ¥0 Mil.
Selling, General, & Admin. Expense(SGA) was ¥175 Mil.
Total Current Liabilities was ¥5,896 Mil.
Long-Term Debt & Capital Lease Obligation was ¥1,261 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) |
| = | (3970.863 / 4383.868) | / | (4715.199 / 5615.76) |
| = | 0.90579 | / | 0.839637 |
| | = | 1.0788 |
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) |
| = | (947.815 / 5615.76) | / | (722.155 / 4383.868) |
| = | 0.168778 | / | 0.16473 |
| | = | 1.0246 |
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 - (9269.088 + 579.742) / 13394.922) | / | (1 - (9129.137 + 658.043) / 12983.896) |
| = | 0.264734 | / | 0.246206 |
| | = | 1.0753 |
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 |
| = | 4383.868 | / | 5615.76 |
| | = | 0.7806 |
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 / (0 + 658.043)) | / | (0 / (0 + 579.742)) |
| = | 0 | / | 0 |
| | = | 1 |
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) |
| = | (263.258 / 4383.868) | / | (174.94 / 5615.76) |
| = | 0.060052 | / | 0.031152 |
| | = | 1.9277 |
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) |
| = | ((395.17 + 7405.553) / 13394.922) | / | ((1260.721 + 5896.407) / 12983.896) |
| = | 0.582364 | / | 0.551231 |
| | = | 1.0565 |
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 |
| = | (-289.774 - 0 | - | -81.698) | / | 13394.922 |
| | = | -0.015534 |
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.
Tellhow Sci-Tech Co has a M-score of -2.81 suggests that the company is unlikely to be a manipulator.
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