Danone Beneish M-Score Historical Data
The historical data trend for Danone'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.
Danone Beneish M-Score Chart
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Danone Annual Data
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Trend |
Dec14 |
Dec15 |
Dec16 |
Dec17 |
Dec18 |
Dec19 |
Dec20 |
Dec21 |
Dec22 |
Dec23 |
| Beneish M-Score |
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-2.54 |
-2.69 |
-2.54 |
-2.57 |
-2.89 |
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Danone Semi-Annual Data
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Dec14 |
Jun15 |
Dec15 |
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Dec16 |
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Dec17 |
Jun18 |
Dec18 |
Jun19 |
Dec19 |
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Jun23 |
Dec23 |
Jun24 |
| Beneish M-Score |
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-2.57 |
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-2.89 |
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Competitive Comparison of Danone's Beneish M-Score
For the Packaged Foods subindustry, Danone'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.
Danone's Beneish M-Score Distribution in the Consumer Packaged Goods Industry
For the Consumer Packaged Goods industry and Consumer Defensive sector, Danone's Beneish M-Score distribution charts can be found below:
* The bar in red indicates where Danone's Beneish M-Score falls into.
Danone 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 Danone 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 * 0.8936 | + | 0.528 * 0.9722 | + | 0.404 * 0.9697 | + | 0.892 * 0.9985 | + | 0.115 * 1.0808 |
| - | 0.172 * SGAI | + | 4.679 * TATA | - | 0.327 * LVGI |
| - | 0.172 * 1.0133 | + | 4.679 * -0.057569 | - | 0.327 * 1.0773 |
| = | -2.89 |
* 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 €2,922 Mil.
Revenue was €27,619 Mil.
Gross Profit was €13,084 Mil.
Total Current Assets was €12,916 Mil.
Total Assets was €44,486 Mil.
Property, Plant and Equipment(Net PPE) was €6,441 Mil.
Depreciation, Depletion and Amortization(DDA) was €1,611 Mil.
Selling, General, & Admin. Expense(SGA) was €9,036 Mil.
Total Current Liabilities was €13,828 Mil.
Long-Term Debt & Capital Lease Obligation was €10,447 Mil.
Net Income was €881 Mil.
Gross Profit was €0 Mil.
Cash Flow from Operations was €3,442 Mil.
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Total Receivables was €3,275 Mil.
Revenue was €27,661 Mil.
Gross Profit was €12,739 Mil.
Total Current Assets was €12,153 Mil.
Total Assets was €45,281 Mil.
Property, Plant and Equipment(Net PPE) was €6,752 Mil.
Depreciation, Depletion and Amortization(DDA) was €1,863 Mil.
Selling, General, & Admin. Expense(SGA) was €8,931 Mil.
Total Current Liabilities was €12,130 Mil.
Long-Term Debt & Capital Lease Obligation was €10,806 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) |
| = | (2922 / 27619) | / | (3275 / 27661) |
| = | 0.105797 | / | 0.118398 |
| | = | 0.8936 |
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) |
| = | (12739 / 27661) | / | (13084 / 27619) |
| = | 0.46054 | / | 0.473732 |
| | = | 0.9722 |
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 - (12916 + 6441) / 44486) | / | (1 - (12153 + 6752) / 45281) |
| = | 0.564874 | / | 0.582496 |
| | = | 0.9697 |
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 |
| = | 27619 | / | 27661 |
| | = | 0.9985 |
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)) |
| = | (1863 / (1863 + 6752)) | / | (1611 / (1611 + 6441)) |
| = | 0.216251 | / | 0.200075 |
| | = | 1.0808 |
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) |
| = | (9036 / 27619) | / | (8931 / 27661) |
| = | 0.327166 | / | 0.322873 |
| | = | 1.0133 |
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) |
| = | ((10447 + 13828) / 44486) | / | ((10806 + 12130) / 45281) |
| = | 0.545677 | / | 0.506526 |
| | = | 1.0773 |
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 |
| = | (881 - 0 | - | 3442) | / | 44486 |
| | = | -0.057569 |
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.
Danone has a M-score of -2.89 suggests that the company is unlikely to be a manipulator.
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