Takuma Co Beneish M-Score Historical Data
The historical data trend for Takuma 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.
Takuma Co Beneish M-Score Chart
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Takuma Co Annual Data
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Trend |
Mar15 |
Mar16 |
Mar17 |
Mar18 |
Mar19 |
Mar20 |
Mar21 |
Mar22 |
Mar23 |
Mar24 |
| Beneish M-Score |
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-1.47 |
-2.03 |
-2.58 |
-3.34 |
-1.63 |
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Takuma Co Quarterly Data
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Jun19 |
Sep19 |
Dec19 |
Mar20 |
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Dec20 |
Mar21 |
Jun21 |
Sep21 |
Dec21 |
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Dec22 |
Mar23 |
Jun23 |
Sep23 |
Dec23 |
Mar24 |
| Beneish M-Score |
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-3.34 |
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-1.63 |
Competitive Comparison of Takuma Co's Beneish M-Score
For the Pollution & Treatment Controls subindustry, Takuma 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.
Takuma Co's Beneish M-Score Distribution in the Industrial Products Industry
For the Industrial Products industry and Industrials sector, Takuma Co's Beneish M-Score distribution charts can be found below:
* The bar in red indicates where Takuma Co's Beneish M-Score falls into.
Takuma 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 Takuma 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 * 1.2412 | + | 0.528 * 1.117 | + | 0.404 * 1.1181 | + | 0.892 * 0.9329 | + | 0.115 * 0.6904 |
| - | 0.172 * SGAI | + | 4.679 * TATA | - | 0.327 * LVGI |
| - | 0.172 * 1.0557 | + | 4.679 * 0.109719 | - | 0.327 * 0.959 |
| = | -1.73 |
* 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 (Mar24) TTM: | Last Year (Mar23) TTM: |
Total Receivables was $527 Mil.
Revenue was $996 Mil.
Gross Profit was $197 Mil.
Total Current Assets was $931 Mil.
Total Assets was $1,276 Mil.
Property, Plant and Equipment(Net PPE) was $131 Mil.
Depreciation, Depletion and Amortization(DDA) was $12 Mil.
Selling, General, & Admin. Expense(SGA) was $19 Mil.
Total Current Liabilities was $455 Mil.
Long-Term Debt & Capital Lease Obligation was $0 Mil.
Net Income was $58 Mil.
Gross Profit was $0 Mil.
Cash Flow from Operations was $-82 Mil.
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Total Receivables was $455 Mil.
Revenue was $1,067 Mil.
Gross Profit was $236 Mil.
Total Current Assets was $1,004 Mil.
Total Assets was $1,344 Mil.
Property, Plant and Equipment(Net PPE) was $138 Mil.
Depreciation, Depletion and Amortization(DDA) was $8 Mil.
Selling, General, & Admin. Expense(SGA) was $19 Mil.
Total Current Liabilities was $500 Mil.
Long-Term Debt & Capital Lease Obligation was $0 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) |
| = | (527.158 / 995.644) | / | (455.245 / 1067.233) |
| = | 0.529464 | / | 0.426566 |
| | = | 1.2412 |
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) |
| = | (236.069 / 1067.233) | / | (197.165 / 995.644) |
| = | 0.221197 | / | 0.198028 |
| | = | 1.117 |
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 - (930.973 + 130.685) / 1276.077) | / | (1 - (1004.374 + 137.928) / 1344.323) |
| = | 0.16803 | / | 0.150277 |
| | = | 1.1181 |
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 |
| = | 995.644 | / | 1067.233 |
| | = | 0.9329 |
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)) |
| = | (8.499 / (8.499 + 137.928)) | / | (11.995 / (11.995 + 130.685)) |
| = | 0.058043 | / | 0.084069 |
| | = | 0.6904 |
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) |
| = | (18.562 / 995.644) | / | (18.846 / 1067.233) |
| = | 0.018643 | / | 0.017659 |
| | = | 1.0557 |
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) |
| = | ((0 + 455.224) / 1276.077) | / | ((0 + 500.059) / 1344.323) |
| = | 0.356737 | / | 0.371978 |
| | = | 0.959 |
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 |
| = | (58.431 - 0 | - | -81.579) | / | 1276.077 |
| | = | 0.109719 |
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.
Takuma Co has a M-score of -1.73 signals that the company is likely to be a manipulator.
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