SunCoke Energy Beneish M-Score Historical Data
The historical data trend for SunCoke Energy'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.
SunCoke Energy Beneish M-Score Chart
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SunCoke Energy Annual Data
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Trend |
Dec14 |
Dec15 |
Dec16 |
Dec17 |
Dec18 |
Dec19 |
Dec20 |
Dec21 |
Dec22 |
Dec23 |
| Beneish M-Score |
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-3.16 |
-3.10 |
-2.49 |
-2.35 |
-3.04 |
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SunCoke Energy Quarterly Data
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Jun19 |
Sep19 |
Dec19 |
Mar20 |
Jun20 |
Sep20 |
Dec20 |
Mar21 |
Jun21 |
Sep21 |
Dec21 |
Mar22 |
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Sep22 |
Dec22 |
Mar23 |
Jun23 |
Sep23 |
Dec23 |
Mar24 |
| Beneish M-Score |
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-2.72 |
-2.77 |
-3.17 |
-3.04 |
-2.55 |
Competitive Comparison of SunCoke Energy's Beneish M-Score
For the Coking Coal subindustry, SunCoke Energy'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.
SunCoke Energy's Beneish M-Score Distribution in the Steel Industry
For the Steel industry and Basic Materials sector, SunCoke Energy's Beneish M-Score distribution charts can be found below:
* The bar in red indicates where SunCoke Energy's Beneish M-Score falls into.
SunCoke Energy 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 SunCoke Energy 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 * 1.3371 | + | 0.528 * 1.0594 | + | 0.404 * 1.0253 | + | 0.892 * 1.0214 | + | 0.115 * 0.9826 |
| - | 0.172 * SGAI | + | 4.679 * TATA | - | 0.327 * LVGI |
| - | 0.172 * 0.9532 | + | 4.679 * -0.101373 | - | 0.327 * 0.9305 |
| = | -2.55 |
* 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 $111 Mil.
Revenue was 488.4 + 520.6 + 520.4 + 534.4 = $2,064 Mil.
Gross Profit was 86.2 + 77.2 + 84.3 + 91.3 = $339 Mil.
Total Current Assets was $431 Mil.
Total Assets was $1,653 Mil.
Property, Plant and Equipment(Net PPE) was $1,169 Mil.
Depreciation, Depletion and Amortization(DDA) was $141 Mil.
Selling, General, & Admin. Expense(SGA) was $70 Mil.
Total Current Liabilities was $210 Mil.
Long-Term Debt & Capital Lease Obligation was $491 Mil.
Net Income was 20 + 13.8 + 7 + 20.4 = $61 Mil.
Non Operating Income was 0 + 0 + 0 + 0 = $0 Mil.
Cash Flow from Operations was 10 + 56.4 + 93.7 + 68.7 = $229 Mil.
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Total Receivables was $81 Mil.
Revenue was 487.8 + 514 + 516.8 + 501.9 = $2,021 Mil.
Gross Profit was 85.8 + 72.3 + 103.4 + 90.1 = $352 Mil.
Total Current Assets was $410 Mil.
Total Assets was $1,669 Mil.
Property, Plant and Equipment(Net PPE) was $1,208 Mil.
Depreciation, Depletion and Amortization(DDA) was $143 Mil.
Selling, General, & Admin. Expense(SGA) was $72 Mil.
Total Current Liabilities was $232 Mil.
Long-Term Debt & Capital Lease Obligation was $528 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) |
| = | (110.9 / 2063.8) | / | (81.2 / 2020.5) |
| = | 0.053736 | / | 0.040188 |
| | = | 1.3371 |
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) |
| = | (351.6 / 2020.5) | / | (339 / 2063.8) |
| = | 0.174016 | / | 0.16426 |
| | = | 1.0594 |
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 - (431.4 + 1169.4) / 1653.3) | / | (1 - (409.8 + 1207.8) / 1669.3) |
| = | 0.031755 | / | 0.030971 |
| | = | 1.0253 |
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 |
| = | 2063.8 | / | 2020.5 |
| | = | 1.0214 |
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)) |
| = | (142.6 / (142.6 + 1207.8)) | / | (140.8 / (140.8 + 1169.4)) |
| = | 0.105598 | / | 0.107465 |
| | = | 0.9826 |
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) |
| = | (70.3 / 2063.8) | / | (72.2 / 2020.5) |
| = | 0.034063 | / | 0.035734 |
| | = | 0.9532 |
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) |
| = | ((490.8 + 209.8) / 1653.3) | / | ((528.4 + 231.8) / 1669.3) |
| = | 0.423759 | / | 0.4554 |
| | = | 0.9305 |
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 |
| = | (61.2 - 0 | - | 228.8) | / | 1653.3 |
| | = | -0.101373 |
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.
SunCoke Energy has a M-score of -2.55 suggests that the company is unlikely to be a manipulator.
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