Neoen Beneish M-Score Historical Data
The historical data trend for Neoen'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.
Neoen Beneish M-Score Chart
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Neoen Annual Data
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Trend |
Dec15 |
Dec16 |
Dec17 |
Dec18 |
Dec19 |
Dec20 |
Dec21 |
Dec22 |
Dec23 |
| Beneish M-Score |
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-2.09 |
-2.58 |
-2.38 |
-2.52 |
-2.28 |
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Neoen Semi-Annual Data
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Dec15 |
Dec16 |
Jun17 |
Dec17 |
Jun18 |
Dec18 |
Jun19 |
Dec19 |
Jun20 |
Dec20 |
Jun21 |
Dec21 |
Jun22 |
Dec22 |
Jun23 |
Dec23 |
| Beneish M-Score |
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-2.38 |
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-2.52 |
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-2.28 |
Competitive Comparison of Neoen's Beneish M-Score
For the Utilities - Renewable subindustry, Neoen'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.
Neoen's Beneish M-Score Distribution in the Utilities - Independent Power Producers Industry
For the Utilities - Independent Power Producers industry and Utilities sector, Neoen's Beneish M-Score distribution charts can be found below:
* The bar in red indicates where Neoen's Beneish M-Score falls into.
Neoen 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 Neoen 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 * 1.0667 | + | 0.528 * 1.0315 | + | 0.404 * 0.9485 | + | 0.892 * 1.0421 | + | 0.115 * 1.1299 |
| - | 0.172 * SGAI | + | 4.679 * TATA | - | 0.327 * LVGI |
| - | 0.172 * 0 | + | 4.679 * -0.023574 | - | 0.327 * 0.9214 |
| = | -2.28 |
* 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 €154.4 Mil.
Revenue was €524.4 Mil.
Gross Profit was €469.9 Mil.
Total Current Assets was €1,103.8 Mil.
Total Assets was €7,402.3 Mil.
Property, Plant and Equipment(Net PPE) was €5,126.8 Mil.
Depreciation, Depletion and Amortization(DDA) was €185.1 Mil.
Selling, General, & Admin. Expense(SGA) was €0.0 Mil.
Total Current Liabilities was €877.8 Mil.
Long-Term Debt & Capital Lease Obligation was €3,470.7 Mil.
Net Income was €150.2 Mil.
Gross Profit was €0.0 Mil.
Cash Flow from Operations was €324.7 Mil.
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Total Receivables was €138.9 Mil.
Revenue was €503.2 Mil.
Gross Profit was €465.1 Mil.
Total Current Assets was €910.6 Mil.
Total Assets was €6,273.5 Mil.
Property, Plant and Equipment(Net PPE) was €4,316.0 Mil.
Depreciation, Depletion and Amortization(DDA) was €176.9 Mil.
Selling, General, & Admin. Expense(SGA) was €75.8 Mil.
Total Current Liabilities was €889.7 Mil.
Long-Term Debt & Capital Lease Obligation was €3,110.2 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) |
| = | (154.4 / 524.4) | / | (138.9 / 503.2) |
| = | 0.294432 | / | 0.276033 |
| | = | 1.0667 |
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) |
| = | (465.1 / 503.2) | / | (469.9 / 524.4) |
| = | 0.924285 | / | 0.896072 |
| | = | 1.0315 |
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 - (1103.8 + 5126.8) / 7402.3) | / | (1 - (910.6 + 4316) / 6273.5) |
| = | 0.158289 | / | 0.166877 |
| | = | 0.9485 |
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 |
| = | 524.4 | / | 503.2 |
| | = | 1.0421 |
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)) |
| = | (176.9 / (176.9 + 4316)) | / | (185.1 / (185.1 + 5126.8)) |
| = | 0.039373 | / | 0.034846 |
| | = | 1.1299 |
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 / 524.4) | / | (75.8 / 503.2) |
| = | 0 | / | 0.150636 |
| | = | 0 |
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) |
| = | ((3470.7 + 877.8) / 7402.3) | / | ((3110.2 + 889.7) / 6273.5) |
| = | 0.587453 | / | 0.637587 |
| | = | 0.9214 |
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 |
| = | (150.2 - 0 | - | 324.7) | / | 7402.3 |
| | = | -0.023574 |
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.
Neoen has a M-score of -2.28 suggests that the company is unlikely to be a manipulator.
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