Southern Copper Beneish M-Score Historical Data
The historical data trend for Southern Copper'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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Southern Copper Annual Data
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Trend |
Dec14 |
Dec15 |
Dec16 |
Dec17 |
Dec18 |
Dec19 |
Dec20 |
Dec21 |
Dec22 |
Dec23 |
| Beneish M-Score |
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|
|
|
|
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-2.73 |
-2.61 |
-2.55 |
-2.40 |
-2.92 |
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Southern Copper 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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|
|
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|
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|
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-2.40 |
-2.44 |
-2.67 |
-2.81 |
-2.92 |
Competitive Comparison
For the Copper subindustry, Southern Copper'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.
Southern Copper Beneish M-Score Distribution
For the Metals & Mining industry and Basic Materials sector, Southern Copper's Beneish M-Score distribution charts can be found below:
* The bar in red indicates where Southern Copper's Beneish M-Score falls into.
Southern Copper 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 Southern Copper 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 * 0.8462 | + | 0.528 * 1.0362 | + | 0.404 * 1.0981 | + | 0.892 * 0.9849 | + | 0.115 * 0.9675 |
| - | 0.172 * SGAI | + | 4.679 * TATA | - | 0.327 * LVGI |
| - | 0.172 * 1.0333 | + | 4.679 * -0.068854 | - | 0.327 * 1.043 |
| = | -2.92 |
* 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 $1,228 Mil.
Revenue was 2295.6 + 2505.6 + 2300.7 + 2793.9 = $9,896 Mil.
Gross Profit was 917.3 + 1117.4 + 943.8 + 1396 = $4,375 Mil.
Total Current Assets was $4,430 Mil.
Total Assets was $16,725 Mil.
Property, Plant and Equipment(Net PPE) was $10,635 Mil.
Depreciation, Depletion and Amortization(DDA) was $834 Mil.
Selling, General, & Admin. Expense(SGA) was $127 Mil.
Total Current Liabilities was $1,389 Mil.
Long-Term Debt & Capital Lease Obligation was $6,952 Mil.
Net Income was 445 + 619.5 + 547.5 + 813.2 = $2,425 Mil.
Non Operating Income was -21.3 + 8.9 + 5.6 + 10.5 = $4 Mil.
Cash Flow from Operations was 541 + 1049.8 + 797.1 + 1185.2 = $3,573 Mil.
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Total Receivables was $1,474 Mil.
Revenue was 2820.3 + 2156.9 + 2306.9 + 2763.8 = $10,048 Mil.
Gross Profit was 1414.8 + 827 + 851.2 + 1509.5 = $4,603 Mil.
Total Current Assets was $5,188 Mil.
Total Assets was $17,277 Mil.
Property, Plant and Equipment(Net PPE) was $10,528 Mil.
Depreciation, Depletion and Amortization(DDA) was $796 Mil.
Selling, General, & Admin. Expense(SGA) was $125 Mil.
Total Current Liabilities was $1,236 Mil.
Long-Term Debt & Capital Lease Obligation was $7,025 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) |
| = | (1228.3 / 9895.8) | / | (1473.8 / 10047.9) |
| = | 0.124123 | / | 0.146677 |
| | = | 0.8462 |
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) |
| = | (4602.5 / 10047.9) | / | (4374.5 / 9895.8) |
| = | 0.458056 | / | 0.442056 |
| | = | 1.0362 |
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 - (4429.5 + 10635.3) / 16725.3) | / | (1 - (5187.7 + 10527.6) / 17277.4) |
| = | 0.099281 | / | 0.090413 |
| | = | 1.0981 |
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 |
| = | 9895.8 | / | 10047.9 |
| | = | 0.9849 |
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)) |
| = | (796.3 / (796.3 + 10527.6)) | / | (833.6 / (833.6 + 10635.3)) |
| = | 0.07032 | / | 0.072684 |
| | = | 0.9675 |
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) |
| = | (127.2 / 9895.8) | / | (125 / 10047.9) |
| = | 0.012854 | / | 0.01244 |
| | = | 1.0333 |
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) |
| = | ((6952 + 1388.5) / 16725.3) | / | ((7025.3 + 1235.7) / 17277.4) |
| = | 0.498676 | / | 0.478139 |
| | = | 1.043 |
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 |
| = | (2425.2 - 3.7 | - | 3573.1) | / | 16725.3 |
| | = | -0.068854 |
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.
Southern Copper has a M-score of -2.92 suggests that the company is unlikely to be a manipulator.
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