Toyo Suisan Kaisha Beneish M-Score Historical Data
The historical data trend for Toyo Suisan Kaisha'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.
Toyo Suisan Kaisha Beneish M-Score Chart
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Toyo Suisan Kaisha Annual Data
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Mar15 |
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Mar21 |
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Mar23 |
Mar24 |
| Beneish M-Score |
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-2.79 |
-2.44 |
-2.48 |
-2.29 |
-2.68 |
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Toyo Suisan Kaisha Quarterly Data
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Dec19 |
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Sep24 |
| Beneish M-Score |
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-2.68 |
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Competitive Comparison of Toyo Suisan Kaisha's Beneish M-Score
For the Packaged Foods subindustry, Toyo Suisan Kaisha'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.
Toyo Suisan Kaisha's Beneish M-Score Distribution in the Consumer Packaged Goods Industry
For the Consumer Packaged Goods industry and Consumer Defensive sector, Toyo Suisan Kaisha's Beneish M-Score distribution charts can be found below:
* The bar in red indicates where Toyo Suisan Kaisha's Beneish M-Score falls into.
Toyo Suisan Kaisha 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 Toyo Suisan Kaisha 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 * 0.9749 | + | 0.528 * 0.8654 | + | 0.404 * 0.6951 | + | 0.892 * 1.0011 | + | 0.115 * 0.9782 |
| - | 0.172 * SGAI | + | 4.679 * TATA | - | 0.327 * LVGI |
| - | 0.172 * 0.9263 | + | 4.679 * -0.025997 | - | 0.327 * 0.9349 |
| = | -2.79 |
* 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 $434 Mil.
Revenue was $3,264 Mil.
Gross Profit was $935 Mil.
Total Current Assets was $2,420 Mil.
Total Assets was $3,811 Mil.
Property, Plant and Equipment(Net PPE) was $1,114 Mil.
Depreciation, Depletion and Amortization(DDA) was $114 Mil.
Selling, General, & Admin. Expense(SGA) was $297 Mil.
Total Current Liabilities was $466 Mil.
Long-Term Debt & Capital Lease Obligation was $19 Mil.
Net Income was $371 Mil.
Gross Profit was $0 Mil.
Cash Flow from Operations was $471 Mil.
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Total Receivables was $445 Mil.
Revenue was $3,260 Mil.
Gross Profit was $808 Mil.
Total Current Assets was $2,133 Mil.
Total Assets was $3,719 Mil.
Property, Plant and Equipment(Net PPE) was $1,196 Mil.
Depreciation, Depletion and Amortization(DDA) was $120 Mil.
Selling, General, & Admin. Expense(SGA) was $320 Mil.
Total Current Liabilities was $484 Mil.
Long-Term Debt & Capital Lease Obligation was $23 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) |
| = | (434.058 / 3264.034) | / | (444.719 / 3260.302) |
| = | 0.132982 | / | 0.136404 |
| | = | 0.9749 |
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) |
| = | (808.309 / 3260.302) | / | (935.151 / 3264.034) |
| = | 0.247925 | / | 0.286502 |
| | = | 0.8654 |
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 - (2419.886 + 1113.767) / 3811.236) | / | (1 - (2132.776 + 1196.445) / 3718.891) |
| = | 0.072833 | / | 0.104781 |
| | = | 0.6951 |
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 |
| = | 3264.034 | / | 3260.302 |
| | = | 1.0011 |
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)) |
| = | (119.695 / (119.695 + 1196.445)) | / | (114.165 / (114.165 + 1113.767)) |
| = | 0.090944 | / | 0.092973 |
| | = | 0.9782 |
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) |
| = | (296.812 / 3264.034) | / | (320.071 / 3260.302) |
| = | 0.090934 | / | 0.098172 |
| | = | 0.9263 |
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) |
| = | ((19.257 + 466.204) / 3811.236) | / | ((23.005 + 483.659) / 3718.891) |
| = | 0.127376 | / | 0.136241 |
| | = | 0.9349 |
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 |
| = | (371.469 - 0 | - | 470.549) | / | 3811.236 |
| | = | -0.025997 |
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.
Toyo Suisan Kaisha has a M-score of -2.79 suggests that the company is unlikely to be a manipulator.
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