MPLX LP Beneish M-Score Historical Data
The historical data trend for MPLX LP'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.
MPLX LP Beneish M-Score Chart
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MPLX LP Annual Data
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Trend |
Dec14 |
Dec15 |
Dec16 |
Dec17 |
Dec18 |
Dec19 |
Dec20 |
Dec21 |
Dec22 |
Dec23 |
| Beneish M-Score |
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-2.70 |
-2.94 |
-2.56 |
-2.56 |
-2.78 |
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MPLX LP Quarterly Data
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Mar19 |
Jun19 |
Sep19 |
Dec19 |
Mar20 |
Jun20 |
Sep20 |
Dec20 |
Mar21 |
Jun21 |
Sep21 |
Dec21 |
Mar22 |
Jun22 |
Sep22 |
Dec22 |
Mar23 |
Jun23 |
Sep23 |
Dec23 |
| Beneish M-Score |
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-2.56 |
-2.78 |
-2.84 |
-2.92 |
-2.78 |
Competitive Comparison of MPLX LP's Beneish M-Score
For the Oil & Gas Midstream subindustry, MPLX LP'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.
MPLX LP's Beneish M-Score Distribution in the Oil & Gas Industry
For the Oil & Gas industry and Energy sector, MPLX LP's Beneish M-Score distribution charts can be found below:
* The bar in red indicates where MPLX LP's Beneish M-Score falls into.
MPLX LP 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 MPLX LP 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 * 1.0829 | + | 0.528 * 0.9304 | + | 0.404 * 0.9469 | + | 0.892 * 0.9898 | + | 0.115 * 1.0327 |
| - | 0.172 * SGAI | + | 4.679 * TATA | - | 0.327 * LVGI |
| - | 0.172 * 1.1429 | + | 4.679 * -0.060664 | - | 0.327 * 1.0074 |
| = | -2.78 |
* 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 (Dec23) TTM: | Last Year (Dec22) TTM: |
Total Receivables was $1,566 Mil.
Revenue was 2675 + 2714 + 2496 + 2549 = $10,434 Mil.
Gross Profit was 1212 + 1102 + 1098 + 1151 = $4,563 Mil.
Total Current Assets was $2,808 Mil.
Total Assets was $36,529 Mil.
Property, Plant and Equipment(Net PPE) was $19,755 Mil.
Depreciation, Depletion and Amortization(DDA) was $1,213 Mil.
Selling, General, & Admin. Expense(SGA) was $379 Mil.
Total Current Liabilities was $2,624 Mil.
Long-Term Debt & Capital Lease Obligation was $19,733 Mil.
Net Income was 1134 + 918 + 933 + 943 = $3,928 Mil.
Non Operating Income was 288 + 159 + 163 + 137 = $747 Mil.
Cash Flow from Operations was 1489 + 1244 + 1437 + 1227 = $5,397 Mil.
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Total Receivables was $1,461 Mil.
Revenue was 2501 + 2743 + 2796 + 2501 = $10,541 Mil.
Gross Profit was 1004 + 1134 + 1088 + 1063 = $4,289 Mil.
Total Current Assets was $1,905 Mil.
Total Assets was $35,665 Mil.
Property, Plant and Equipment(Net PPE) was $19,359 Mil.
Depreciation, Depletion and Amortization(DDA) was $1,230 Mil.
Selling, General, & Admin. Expense(SGA) was $335 Mil.
Total Current Liabilities was $2,401 Mil.
Long-Term Debt & Capital Lease Obligation was $19,266 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) |
| = | (1566 / 10434) | / | (1461 / 10541) |
| = | 0.150086 | / | 0.138602 |
| | = | 1.0829 |
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) |
| = | (4289 / 10541) | / | (4563 / 10434) |
| = | 0.406887 | / | 0.43732 |
| | = | 0.9304 |
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 - (2808 + 19755) / 36529) | / | (1 - (1905 + 19359) / 35665) |
| = | 0.382326 | / | 0.403785 |
| | = | 0.9469 |
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 |
| = | 10434 | / | 10541 |
| | = | 0.9898 |
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)) |
| = | (1230 / (1230 + 19359)) | / | (1213 / (1213 + 19755)) |
| = | 0.059741 | / | 0.05785 |
| | = | 1.0327 |
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) |
| = | (379 / 10434) | / | (335 / 10541) |
| = | 0.036324 | / | 0.031781 |
| | = | 1.1429 |
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) |
| = | ((19733 + 2624) / 36529) | / | ((19266 + 2401) / 35665) |
| = | 0.612034 | / | 0.607514 |
| | = | 1.0074 |
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 |
| = | (3928 - 747 | - | 5397) | / | 36529 |
| | = | -0.060664 |
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.
MPLX LP has a M-score of -2.78 suggests that the company is unlikely to be a manipulator.
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