Fanuc Beneish M-Score Historical Data
The historical data trend for Fanuc'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.
Fanuc Beneish M-Score Chart
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Fanuc Annual Data
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Mar15 |
Mar16 |
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Mar19 |
Mar20 |
Mar21 |
Mar22 |
Mar23 |
Mar24 |
| Beneish M-Score |
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-2.70 |
-2.20 |
-2.30 |
-2.14 |
-2.47 |
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Fanuc Quarterly Data
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Dec19 |
Mar20 |
Jun20 |
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Dec21 |
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Mar24 |
Jun24 |
Sep24 |
| Beneish M-Score |
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-2.47 |
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Competitive Comparison of Fanuc's Beneish M-Score
For the Specialty Industrial Machinery subindustry, Fanuc'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.
Fanuc's Beneish M-Score Distribution in the Industrial Products Industry
For the Industrial Products industry and Industrials sector, Fanuc's Beneish M-Score distribution charts can be found below:
* The bar in red indicates where Fanuc's Beneish M-Score falls into.
Fanuc 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 Fanuc 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 * 1.0261 | + | 0.528 * 1.1012 | + | 0.404 * 1.0552 | + | 0.892 * 0.8328 | + | 0.115 * 1.0335 |
| - | 0.172 * SGAI | + | 4.679 * TATA | - | 0.327 * LVGI |
| - | 0.172 * 1 | + | 4.679 * -0.020044 | - | 0.327 * 0.8296 |
| = | -2.56 |
* 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 $1,041 Mil.
Revenue was $5,308 Mil.
Gross Profit was $1,841 Mil.
Total Current Assets was $7,184 Mil.
Total Assets was $12,856 Mil.
Property, Plant and Equipment(Net PPE) was $4,057 Mil.
Depreciation, Depletion and Amortization(DDA) was $327 Mil.
Selling, General, & Admin. Expense(SGA) was $0 Mil.
Total Current Liabilities was $1,047 Mil.
Long-Term Debt & Capital Lease Obligation was $0 Mil.
Net Income was $889 Mil.
Gross Profit was $0 Mil.
Cash Flow from Operations was $1,146 Mil.
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Total Receivables was $1,218 Mil.
Revenue was $6,374 Mil.
Gross Profit was $2,435 Mil.
Total Current Assets was $7,943 Mil.
Total Assets was $14,017 Mil.
Property, Plant and Equipment(Net PPE) was $4,404 Mil.
Depreciation, Depletion and Amortization(DDA) was $368 Mil.
Selling, General, & Admin. Expense(SGA) was $0 Mil.
Total Current Liabilities was $1,376 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) |
| = | (1040.732 / 5308.246) | / | (1217.864 / 6373.849) |
| = | 0.196059 | / | 0.191072 |
| | = | 1.0261 |
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) |
| = | (2434.509 / 6373.849) | / | (1841.187 / 5308.246) |
| = | 0.381953 | / | 0.346854 |
| | = | 1.1012 |
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 - (7183.788 + 4056.606) / 12855.794) | / | (1 - (7943.333 + 4404.287) / 14016.727) |
| = | 0.125655 | / | 0.11908 |
| | = | 1.0552 |
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 |
| = | 5308.246 | / | 6373.849 |
| | = | 0.8328 |
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)) |
| = | (368.004 / (368.004 + 4404.287)) | / | (327.069 / (327.069 + 4056.606)) |
| = | 0.077113 | / | 0.074611 |
| | = | 1.0335 |
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) |
| = | (0 / 5308.246) | / | (0 / 6373.849) |
| = | 0 | / | 0 |
| | = | 1 |
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 + 1047.2) / 12855.794) | / | ((0 + 1376.246) / 14016.727) |
| = | 0.081457 | / | 0.098186 |
| | = | 0.8296 |
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 |
| = | (888.802 - 0 | - | 1146.48) | / | 12855.794 |
| | = | -0.020044 |
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.
Fanuc has a M-score of -2.56 suggests that the company is unlikely to be a manipulator.
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