Brenntag SE Beneish M-Score Historical Data
The historical data trend for Brenntag SE'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.
Brenntag SE Beneish M-Score Chart
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Brenntag SE Annual Data
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Trend |
Dec14 |
Dec15 |
Dec16 |
Dec17 |
Dec18 |
Dec19 |
Dec20 |
Dec21 |
Dec22 |
Dec23 |
| Beneish M-Score |
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-2.76 |
-2.90 |
-2.17 |
-2.31 |
-3.01 |
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Brenntag SE 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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-2.31 |
-2.63 |
-2.92 |
-2.96 |
-3.01 |
Competitive Comparison of Brenntag SE's Beneish M-Score
For the Specialty Chemicals subindustry, Brenntag SE'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.
Brenntag SE's Beneish M-Score Distribution in the Chemicals Industry
For the Chemicals industry and Basic Materials sector, Brenntag SE's Beneish M-Score distribution charts can be found below:
* The bar in red indicates where Brenntag SE's Beneish M-Score falls into.
Brenntag SE 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 Brenntag SE 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 * 0.9859 | + | 0.528 * 0.9304 | + | 0.404 * 1.1342 | + | 0.892 * 0.888 | + | 0.115 * 1.1189 |
| - | 0.172 * SGAI | + | 4.679 * TATA | - | 0.327 * LVGI |
| - | 0.172 * 1 | + | 4.679 * -0.090852 | - | 0.327 * 0.9706 |
| = | -2.98 |
* 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 $2,577 Mil.
Revenue was 4300 + 4363.18 + 4611.701 + 4847.002 = $18,122 Mil.
Gross Profit was 1046.129 + 1061.259 + 1105.959 + 1119.486 = $4,333 Mil.
Total Current Assets was $5,030 Mil.
Total Assets was $11,274 Mil.
Property, Plant and Equipment(Net PPE) was $2,119 Mil.
Depreciation, Depletion and Amortization(DDA) was $418 Mil.
Selling, General, & Admin. Expense(SGA) was $0 Mil.
Total Current Liabilities was $3,294 Mil.
Long-Term Debt & Capital Lease Obligation was $2,312 Mil.
Net Income was 148.092 + 188.154 + 202.492 + 231.156 = $770 Mil.
Non Operating Income was 0 + 0 + 0 + 0 = $0 Mil.
Cash Flow from Operations was 546.674 + 464.248 + 354.605 + 428.587 = $1,794 Mil.
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Total Receivables was $2,943 Mil.
Revenue was 5015.36 + 5050 + 5350.106 + 4992.401 = $20,408 Mil.
Gross Profit was 1091.314 + 1095.149 + 1210.148 + 1143.062 = $4,540 Mil.
Total Current Assets was $6,272 Mil.
Total Assets was $12,048 Mil.
Property, Plant and Equipment(Net PPE) was $1,890 Mil.
Depreciation, Depletion and Amortization(DDA) was $428 Mil.
Selling, General, & Admin. Expense(SGA) was $0 Mil.
Total Current Liabilities was $3,430 Mil.
Long-Term Debt & Capital Lease Obligation was $2,742 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) |
| = | (2576.663 / 18121.883) | / | (2943.22 / 20407.867) |
| = | 0.142185 | / | 0.14422 |
| | = | 0.9859 |
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) |
| = | (4539.673 / 20407.867) | / | (4332.833 / 18121.883) |
| = | 0.222447 | / | 0.239094 |
| | = | 0.9304 |
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 - (5030.098 + 2119.302) / 11273.501) | / | (1 - (6271.504 + 1890.254) / 12047.669) |
| = | 0.365823 | / | 0.322545 |
| | = | 1.1342 |
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 |
| = | 18121.883 | / | 20407.867 |
| | = | 0.888 |
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)) |
| = | (427.536 / (427.536 + 1890.254)) | / | (418.341 / (418.341 + 2119.302)) |
| = | 0.184458 | / | 0.164854 |
| | = | 1.1189 |
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) |
| = | (0 / 18121.883) | / | (0 / 20407.867) |
| = | 0 | / | 0 |
| | = | 1 |
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) |
| = | ((2311.559 + 3294.438) / 11273.501) | / | ((2742.267 + 3430.085) / 12047.669) |
| = | 0.497272 | / | 0.512327 |
| | = | 0.9706 |
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 |
| = | (769.894 - 0 | - | 1794.114) | / | 11273.501 |
| | = | -0.090852 |
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.
Brenntag SE has a M-score of -2.98 suggests that the company is unlikely to be a manipulator.
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