Netel Holding AB Beneish M-Score Historical Data
The historical data trend for Netel Holding AB'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.
Netel Holding AB Beneish M-Score Chart
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Netel Holding AB Annual Data
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Trend |
Dec18 |
Dec19 |
Dec20 |
Dec21 |
Dec22 |
Dec23 |
| Beneish M-Score |
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- |
- |
- |
-1.70 |
-2.67 |
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Netel Holding AB Quarterly Data
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Dec18 |
Dec19 |
Jun20 |
Dec20 |
Mar21 |
Jun21 |
Sep21 |
Dec21 |
Mar22 |
Jun22 |
Sep22 |
Dec22 |
Mar23 |
Jun23 |
Sep23 |
Dec23 |
Mar24 |
| Beneish M-Score |
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-2.04 |
-2.24 |
-2.23 |
-2.67 |
-2.48 |
Competitive Comparison of Netel Holding AB's Beneish M-Score
For the Engineering & Construction subindustry, Netel Holding AB'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.
Netel Holding AB's Beneish M-Score Distribution in the Construction Industry
For the Construction industry and Industrials sector, Netel Holding AB's Beneish M-Score distribution charts can be found below:
* The bar in red indicates where Netel Holding AB's Beneish M-Score falls into.
Netel Holding AB 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 Netel Holding AB 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 * 0.8718 | + | 0.528 * 1.0583 | + | 0.404 * 1.0546 | + | 0.892 * 1.0913 | + | 0.115 * 0.8292 |
| - | 0.172 * SGAI | + | 4.679 * TATA | - | 0.327 * LVGI |
| - | 0.172 * 0 | + | 4.679 * -0.033704 | - | 0.327 * 1.0387 |
| = | -2.48 |
* 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 (Mar24) TTM: | Last Year (Mar23) TTM: |
Total Receivables was kr1,038 Mil.
Revenue was 714 + 1025 + 890 + 861 = kr3,490 Mil.
Gross Profit was 276 + 338 + 298 + 310 = kr1,222 Mil.
Total Current Assets was kr1,323 Mil.
Total Assets was kr2,967 Mil.
Property, Plant and Equipment(Net PPE) was kr171 Mil.
Depreciation, Depletion and Amortization(DDA) was kr77 Mil.
Selling, General, & Admin. Expense(SGA) was kr0 Mil.
Total Current Liabilities was kr774 Mil.
Long-Term Debt & Capital Lease Obligation was kr965 Mil.
Net Income was -8 + 37 + 13 + 3 = kr45 Mil.
Non Operating Income was 0 + 0 + 0 + 0 = kr0 Mil.
Cash Flow from Operations was -89 + 203 + 2 + 29 = kr145 Mil.
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Total Receivables was kr1,091 Mil.
Revenue was 684 + 984 + 779 + 751 = kr3,198 Mil.
Gross Profit was 269 + 366 + 268 + 282 = kr1,185 Mil.
Total Current Assets was kr1,448 Mil.
Total Assets was kr3,112 Mil.
Property, Plant and Equipment(Net PPE) was kr199 Mil.
Depreciation, Depletion and Amortization(DDA) was kr69 Mil.
Selling, General, & Admin. Expense(SGA) was kr132 Mil.
Total Current Liabilities was kr713 Mil.
Long-Term Debt & Capital Lease Obligation was kr1,043 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) |
| = | (1038 / 3490) | / | (1091 / 3198) |
| = | 0.297421 | / | 0.341151 |
| | = | 0.8718 |
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) |
| = | (1185 / 3198) | / | (1222 / 3490) |
| = | 0.370544 | / | 0.350143 |
| | = | 1.0583 |
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 - (1323 + 171) / 2967) | / | (1 - (1448 + 199) / 3112) |
| = | 0.496461 | / | 0.470758 |
| | = | 1.0546 |
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 |
| = | 3490 | / | 3198 |
| | = | 1.0913 |
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)) |
| = | (69 / (69 + 199)) | / | (77 / (77 + 171)) |
| = | 0.257463 | / | 0.310484 |
| | = | 0.8292 |
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 / 3490) | / | (132 / 3198) |
| = | 0 | / | 0.041276 |
| | = | 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) |
| = | ((965 + 774) / 2967) | / | ((1043 + 713) / 3112) |
| = | 0.586114 | / | 0.564267 |
| | = | 1.0387 |
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 |
| = | (45 - 0 | - | 145) | / | 2967 |
| | = | -0.033704 |
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.
Netel Holding AB has a M-score of -2.48 suggests that the company is unlikely to be a manipulator.
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