O'Reilly Automotive Beneish M-Score Historical Data
The historical data trend for O'Reilly Automotive'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.
O'Reilly Automotive Beneish M-Score Chart
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O'Reilly Automotive Annual Data
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| Beneish M-Score |
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-2.84 |
-2.76 |
-2.68 |
-2.67 |
-2.73 |
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O'Reilly Automotive Quarterly Data
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| Beneish M-Score |
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-2.50 |
-2.52 |
-2.65 |
-2.73 |
-2.84 |
Competitive Comparison of O'Reilly Automotive's Beneish M-Score
For the Auto Parts subindustry, O'Reilly Automotive'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.
O'Reilly Automotive's Beneish M-Score Distribution in the Vehicles & Parts Industry
For the Vehicles & Parts industry and Consumer Cyclical sector, O'Reilly Automotive's Beneish M-Score distribution charts can be found below:
* The bar in red indicates where O'Reilly Automotive's Beneish M-Score falls into.
O'Reilly Automotive 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 O'Reilly Automotive 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 * 0.8624 | + | 0.528 * 1.0013 | + | 0.404 * 0.8779 | + | 0.892 * 1.049 | + | 0.115 * 0.9831 |
| - | 0.172 * SGAI | + | 4.679 * TATA | - | 0.327 * LVGI |
| - | 0.172 * 1.0244 | + | 4.679 * -0.047542 | - | 0.327 * 0.9979 |
| = | -2.84 |
* 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 (Mar25) TTM: | Last Year (Mar24) TTM: |
Total Receivables was $522 Mil.
Revenue was 4136.924 + 4095.601 + 4364.437 + 4272.201 = $16,869 Mil.
Gross Profit was 2121.485 + 2101.032 + 2251.225 + 2168.06 = $8,642 Mil.
Total Current Assets was $6,029 Mil.
Total Assets was $15,294 Mil.
Property, Plant and Equipment(Net PPE) was $8,140 Mil.
Depreciation, Depletion and Amortization(DDA) was $474 Mil.
Selling, General, & Admin. Expense(SGA) was $5,402 Mil.
Total Current Liabilities was $8,511 Mil.
Long-Term Debt & Capital Lease Obligation was $7,678 Mil.
Net Income was 538.485 + 551.13 + 665.464 + 622.848 = $2,378 Mil.
Non Operating Income was -1.215 + -0.106 + 4.304 + 1.561 = $5 Mil.
Cash Flow from Operations was 755.12 + 624.487 + 772.015 + 948.859 = $3,100 Mil.
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Total Receivables was $577 Mil.
Revenue was 3976.24 + 3832.015 + 4203.38 + 4068.991 = $16,081 Mil.
Gross Profit was 2034.172 + 1967.429 + 2160.463 + 2086.582 = $8,249 Mil.
Total Current Assets was $5,600 Mil.
Total Assets was $14,213 Mil.
Property, Plant and Equipment(Net PPE) was $7,423 Mil.
Depreciation, Depletion and Amortization(DDA) was $425 Mil.
Selling, General, & Admin. Expense(SGA) was $5,026 Mil.
Total Current Liabilities was $7,888 Mil.
Long-Term Debt & Capital Lease Obligation was $7,189 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) |
| = | (522.089 / 16869.163) | / | (577.088 / 16080.626) |
| = | 0.030949 | / | 0.035887 |
| | = | 0.8624 |
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) |
| = | (8248.646 / 16080.626) | / | (8641.802 / 16869.163) |
| = | 0.512956 | / | 0.512284 |
| | = | 1.0013 |
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 - (6029.467 + 8139.898) / 15293.875) | / | (1 - (5599.697 + 7422.988) / 14213.054) |
| = | 0.073527 | / | 0.083752 |
| | = | 0.8779 |
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 |
| = | 16869.163 | / | 16080.626 |
| | = | 1.049 |
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)) |
| = | (424.962 / (424.962 + 7422.988)) | / | (474.468 / (474.468 + 8139.898)) |
| = | 0.054149 | / | 0.055079 |
| | = | 0.9831 |
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) |
| = | (5401.66 / 16869.163) | / | (5026.434 / 16080.626) |
| = | 0.320209 | / | 0.312577 |
| | = | 1.0244 |
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) |
| = | ((7678.489 + 8510.506) / 15293.875) | / | ((7188.832 + 7888.394) / 14213.054) |
| = | 1.058528 | / | 1.060801 |
| | = | 0.9979 |
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 |
| = | (2377.927 - 4.544 | - | 3100.481) | / | 15293.875 |
| | = | -0.047542 |
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.
O'Reilly Automotive has a M-score of -2.84 suggests that the company is unlikely to be a manipulator.
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