Corning Beneish M-Score Historical Data
The historical data trend for Corning'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.
Corning Beneish M-Score Chart
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Corning Annual Data
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Trend |
Dec14 |
Dec15 |
Dec16 |
Dec17 |
Dec18 |
Dec19 |
Dec20 |
Dec21 |
Dec22 |
Dec23 |
| Beneish M-Score |
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-2.72 |
-2.56 |
-2.88 |
-2.86 |
-2.82 |
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Corning 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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-2.86 |
-2.73 |
-2.68 |
-2.59 |
-2.82 |
Competitive Comparison of Corning's Beneish M-Score
For the Electronic Components subindustry, Corning'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.
Corning's Beneish M-Score Distribution in the Hardware Industry
For the Hardware industry and Technology sector, Corning's Beneish M-Score distribution charts can be found below:
* The bar in red indicates where Corning's Beneish M-Score falls into.
Corning 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 Corning 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 * 1.0296 | + | 0.528 * 1.0169 | + | 0.404 * 1.0248 | + | 0.892 * 0.8872 | + | 0.115 * 1.0136 |
| - | 0.172 * SGAI | + | 4.679 * TATA | - | 0.327 * LVGI |
| - | 0.172 * 1.0945 | + | 4.679 * -0.057579 | - | 0.327 * 1.0117 |
| = | -2.82 |
* 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 $1,572 Mil.
Revenue was 2994 + 3173 + 3243 + 3178 = $12,588 Mil.
Gross Profit was 911 + 1004 + 1013 + 1003 = $3,931 Mil.
Total Current Assets was $7,212 Mil.
Total Assets was $28,500 Mil.
Property, Plant and Equipment(Net PPE) was $15,513 Mil.
Depreciation, Depletion and Amortization(DDA) was $1,369 Mil.
Selling, General, & Admin. Expense(SGA) was $1,843 Mil.
Total Current Liabilities was $4,319 Mil.
Long-Term Debt & Capital Lease Obligation was $8,052 Mil.
Net Income was -40 + 164 + 281 + 176 = $581 Mil.
Non Operating Income was -39 + 53 + 203 + 0 = $217 Mil.
Cash Flow from Operations was 713 + 722 + 619 + -49 = $2,005 Mil.
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Total Receivables was $1,721 Mil.
Revenue was 3406 + 3488 + 3615 + 3680 = $14,189 Mil.
Gross Profit was 915 + 1062 + 1246 + 1283 = $4,506 Mil.
Total Current Assets was $7,453 Mil.
Total Assets was $29,499 Mil.
Property, Plant and Equipment(Net PPE) was $16,213 Mil.
Depreciation, Depletion and Amortization(DDA) was $1,452 Mil.
Selling, General, & Admin. Expense(SGA) was $1,898 Mil.
Total Current Liabilities was $5,175 Mil.
Long-Term Debt & Capital Lease Obligation was $7,482 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) |
| = | (1572 / 12588) | / | (1721 / 14189) |
| = | 0.124881 | / | 0.121291 |
| | = | 1.0296 |
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) |
| = | (4506 / 14189) | / | (3931 / 12588) |
| = | 0.31757 | / | 0.312282 |
| | = | 1.0169 |
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 - (7212 + 15513) / 28500) | / | (1 - (7453 + 16213) / 29499) |
| = | 0.202632 | / | 0.197736 |
| | = | 1.0248 |
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 |
| = | 12588 | / | 14189 |
| | = | 0.8872 |
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)) |
| = | (1452 / (1452 + 16213)) | / | (1369 / (1369 + 15513)) |
| = | 0.082196 | / | 0.081092 |
| | = | 1.0136 |
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) |
| = | (1843 / 12588) | / | (1898 / 14189) |
| = | 0.146409 | / | 0.133766 |
| | = | 1.0945 |
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) |
| = | ((8052 + 4319) / 28500) | / | ((7482 + 5175) / 29499) |
| = | 0.43407 | / | 0.429065 |
| | = | 1.0117 |
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 |
| = | (581 - 217 | - | 2005) | / | 28500 |
| | = | -0.057579 |
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.
Corning has a M-score of -2.82 suggests that the company is unlikely to be a manipulator.
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