Fastenal Co Beneish M-Score Historical Data
The historical data trend for Fastenal 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.
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Fastenal Co Annual Data
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Trend |
Dec14 |
Dec15 |
Dec16 |
Dec17 |
Dec18 |
Dec19 |
Dec20 |
Dec21 |
Dec22 |
Dec23 |
| Beneish M-Score |
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-2.52 |
-2.16 |
-2.22 |
-2.27 |
-2.65 |
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Fastenal Co Quarterly Data
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Jun19 |
Sep19 |
Dec19 |
Mar20 |
Jun20 |
Sep20 |
Dec20 |
Mar21 |
Jun21 |
Sep21 |
Dec21 |
Mar22 |
Jun22 |
Sep22 |
Dec22 |
Mar23 |
Jun23 |
Sep23 |
Dec23 |
Mar24 |
| Beneish M-Score |
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-2.41 |
-2.51 |
-2.62 |
-2.65 |
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Competitive Comparison
For the Industrial Distribution subindustry, Fastenal 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.
Fastenal Co Beneish M-Score Distribution
For the Industrial Distribution industry and Industrials sector, Fastenal Co's Beneish M-Score distribution charts can be found below:
* The bar in red indicates where Fastenal Co's Beneish M-Score falls into.
Fastenal 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 Fastenal 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 * 1.0198 | + | 0.528 * 1.0058 | + | 0.404 * 0.9491 | + | 0.892 * 1.0346 | + | 0.115 * 1.0385 |
| - | 0.172 * SGAI | + | 4.679 * TATA | - | 0.327 * LVGI |
| - | 0.172 * 0.9973 | + | 4.679 * -0.049022 | - | 0.327 * 0.8475 |
| = | -2.62 |
* 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 $1,213 Mil.
Revenue was 1895.1 + 1758.6 + 1845.9 + 1883.1 = $7,383 Mil.
Gross Profit was 861.6 + 799.4 + 847.6 + 857.5 = $3,366 Mil.
Total Current Assets was $3,084 Mil.
Total Assets was $4,533 Mil.
Property, Plant and Equipment(Net PPE) was $1,291 Mil.
Depreciation, Depletion and Amortization(DDA) was $176 Mil.
Selling, General, & Admin. Expense(SGA) was $1,841 Mil.
Total Current Liabilities was $638 Mil.
Long-Term Debt & Capital Lease Obligation was $386 Mil.
Net Income was 297.7 + 266.4 + 295.5 + 298 = $1,158 Mil.
Non Operating Income was 0 + 0 + 0 + 0 = $0 Mil.
Cash Flow from Operations was 335.6 + 354 + 388.1 + 302.1 = $1,380 Mil.
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Total Receivables was $1,150 Mil.
Revenue was 1859.1 + 1695.6 + 1802.4 + 1778.6 = $7,136 Mil.
Gross Profit was 850 + 768.4 + 826.5 + 827.6 = $3,273 Mil.
Total Current Assets was $3,162 Mil.
Total Assets was $4,577 Mil.
Property, Plant and Equipment(Net PPE) was $1,247 Mil.
Depreciation, Depletion and Amortization(DDA) was $177 Mil.
Selling, General, & Admin. Expense(SGA) was $1,784 Mil.
Total Current Liabilities was $863 Mil.
Long-Term Debt & Capital Lease Obligation was $357 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) |
| = | (1213.2 / 7382.7) | / | (1149.8 / 7135.7) |
| = | 0.16433 | / | 0.161133 |
| | = | 1.0198 |
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) |
| = | (3272.5 / 7135.7) | / | (3366.1 / 7382.7) |
| = | 0.45861 | / | 0.455944 |
| | = | 1.0058 |
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 - (3083.5 + 1291.1) / 4532.7) | / | (1 - (3161.5 + 1247.3) / 4577) |
| = | 0.03488 | / | 0.036749 |
| | = | 0.9491 |
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 |
| = | 7382.7 | / | 7135.7 |
| | = | 1.0346 |
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)) |
| = | (177.2 / (177.2 + 1247.3)) | / | (175.7 / (175.7 + 1291.1)) |
| = | 0.124395 | / | 0.119785 |
| | = | 1.0385 |
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) |
| = | (1840.5 / 7382.7) | / | (1783.8 / 7135.7) |
| = | 0.249299 | / | 0.249982 |
| | = | 0.9973 |
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) |
| = | ((386 + 637.9) / 4532.7) | / | ((356.7 + 863.2) / 4577) |
| = | 0.225892 | / | 0.266528 |
| | = | 0.8475 |
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 |
| = | (1157.6 - 0 | - | 1379.8) | / | 4532.7 |
| | = | -0.049022 |
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.
Fastenal Co has a M-score of -2.62 suggests that the company is unlikely to be a manipulator.
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