Verallia Beneish M-Score Historical Data
The historical data trend for Verallia'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.
Verallia Beneish M-Score Chart
|
Verallia Annual Data
|
|
Trend |
Dec15 |
Dec16 |
Dec17 |
Dec18 |
Dec19 |
Dec20 |
Dec21 |
Dec22 |
Dec23 |
| Beneish M-Score |
|
Get a 7-Day Free Trial
|
|
-3.11 |
-3.30 |
-2.68 |
-1.95 |
-3.33 |
|
Verallia Semi-Annual Data
|
|
Dec16 |
Dec17 |
Jun18 |
Dec18 |
Jun19 |
Dec19 |
Jun20 |
Dec20 |
Jun21 |
Dec21 |
Jun22 |
Dec22 |
Jun23 |
Dec23 |
| Beneish M-Score |
Get a 7-Day Free Trial
|
|
|
|
|
|
|
-2.68 |
- |
-1.95 |
- |
-3.33 |
Competitive Comparison of Verallia's Beneish M-Score
For the Packaging & Containers subindustry, Verallia'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.
Verallia's Beneish M-Score Distribution in the Packaging & Containers Industry
For the Packaging & Containers industry and Consumer Cyclical sector, Verallia's Beneish M-Score distribution charts can be found below:
* The bar in red indicates where Verallia's Beneish M-Score falls into.
Verallia 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 Verallia 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 * 0.466 | + | 0.528 * 0.9143 | + | 0.404 * 0.8862 | + | 0.892 * 1.1648 | + | 0.115 * 1.0091 |
| - | 0.172 * SGAI | + | 4.679 * TATA | - | 0.327 * LVGI |
| - | 0.172 * 0.938 | + | 4.679 * -0.086967 | - | 0.327 * 1.0661 |
| = | -3.33 |
* 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 €177 Mil.
Revenue was €3,904 Mil.
Gross Profit was €1,050 Mil.
Total Current Assets was €1,463 Mil.
Total Assets was €4,460 Mil.
Property, Plant and Equipment(Net PPE) was €1,796 Mil.
Depreciation, Depletion and Amortization(DDA) was €327 Mil.
Selling, General, & Admin. Expense(SGA) was €212 Mil.
Total Current Liabilities was €1,615 Mil.
Long-Term Debt & Capital Lease Obligation was €1,598 Mil.
Net Income was €470 Mil.
Gross Profit was €0 Mil.
Cash Flow from Operations was €858 Mil.
|
Total Receivables was €326 Mil.
Revenue was €3,352 Mil.
Gross Profit was €824 Mil.
Total Current Assets was €1,517 Mil.
Total Assets was €4,492 Mil.
Property, Plant and Equipment(Net PPE) was €1,609 Mil.
Depreciation, Depletion and Amortization(DDA) was €296 Mil.
Selling, General, & Admin. Expense(SGA) was €194 Mil.
Total Current Liabilities was €1,476 Mil.
Long-Term Debt & Capital Lease Obligation was €1,560 Mil.
|
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) |
| = | (177.1 / 3903.8) | / | (326.3 / 3351.5) |
| = | 0.045366 | / | 0.097359 |
| | = | 0.466 |
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) |
| = | (824.4 / 3351.5) | / | (1050.3 / 3903.8) |
| = | 0.245979 | / | 0.269046 |
| | = | 0.9143 |
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 - (1462.6 + 1795.6) / 4460.3) | / | (1 - (1517 + 1609) / 4492.1) |
| = | 0.269511 | / | 0.304112 |
| | = | 0.8862 |
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 |
| = | 3903.8 | / | 3351.5 |
| | = | 1.1648 |
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)) |
| = | (295.9 / (295.9 + 1609)) | / | (326.7 / (326.7 + 1795.6)) |
| = | 0.155336 | / | 0.153937 |
| | = | 1.0091 |
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) |
| = | (212.4 / 3903.8) | / | (194.4 / 3351.5) |
| = | 0.054409 | / | 0.058004 |
| | = | 0.938 |
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) |
| = | ((1598.3 + 1615) / 4460.3) | / | ((1559.8 + 1475.7) / 4492.1) |
| = | 0.720422 | / | 0.675742 |
| | = | 1.0661 |
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 |
| = | (470 - 0 | - | 857.9) | / | 4460.3 |
| | = | -0.086967 |
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.
Verallia has a M-score of -3.33 suggests that the company is unlikely to be a manipulator.
Quick Browse
Personalize
Premium Gurus 
Create New Portfolio
Portfolio Contest
FRA:1VRA has been successfully added to your