IONOS Group SE Beneish M-Score Historical Data
The historical data trend for IONOS Group 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.
IONOS Group SE Beneish M-Score Chart
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IONOS Group SE Annual Data
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Trend |
Dec22 |
Dec23 |
Dec24 |
| Beneish M-Score |
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- |
- |
-2.90 |
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IONOS Group SE Quarterly Data
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Mar22 |
Jun22 |
Sep22 |
Dec22 |
Mar23 |
Jun23 |
Sep23 |
Dec23 |
Mar24 |
Jun24 |
Sep24 |
Dec24 |
Mar25 |
| Beneish M-Score |
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-2.89 |
-4.02 |
-3.78 |
-2.90 |
-2.94 |
Competitive Comparison of IONOS Group SE's Beneish M-Score
For the Information Technology Services subindustry, IONOS Group 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.
IONOS Group SE's Beneish M-Score Distribution in the Software Industry
For the Software industry and Technology sector, IONOS Group SE's Beneish M-Score distribution charts can be found below:
* The bar in red indicates where IONOS Group SE's Beneish M-Score falls into.
IONOS Group 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 IONOS Group 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 * 0.9404 | + | 0.528 * 1.026 | + | 0.404 * 0.9957 | + | 0.892 * 1.1322 | + | 0.115 * 0.9537 |
| - | 0.172 * SGAI | + | 4.679 * TATA | - | 0.327 * LVGI |
| - | 0.172 * 0.8812 | + | 4.679 * -0.114447 | - | 0.327 * 1.043 |
| = | -2.94 |
* 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 (Mar25) TTM: | Last Year (Mar24) TTM: |
Total Receivables was €220 Mil.
Revenue was 446.308 + 418.693 + 389.994 + 378.645 = €1,634 Mil.
Gross Profit was 219.724 + 197.359 + 186.043 + 184.74 = €788 Mil.
Total Current Assets was €318 Mil.
Total Assets was €1,680 Mil.
Property, Plant and Equipment(Net PPE) was €308 Mil.
Depreciation, Depletion and Amortization(DDA) was €112 Mil.
Selling, General, & Admin. Expense(SGA) was €230 Mil.
Total Current Liabilities was €388 Mil.
Long-Term Debt & Capital Lease Obligation was €798 Mil.
Net Income was 50.709 + 47.055 + 48.778 + 39.718 = €186 Mil.
Non Operating Income was 0 + 0 + 0 + 0 = €0 Mil.
Cash Flow from Operations was 77.242 + 101.099 + 95.86 + 104.386 = €379 Mil.
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Total Receivables was €207 Mil.
Revenue was 372.969 + 365.025 + 350.065 + 354.85 = €1,443 Mil.
Gross Profit was 190.927 + 179.529 + 174.016 + 169.5 = €714 Mil.
Total Current Assets was €301 Mil.
Total Assets was €1,668 Mil.
Property, Plant and Equipment(Net PPE) was €317 Mil.
Depreciation, Depletion and Amortization(DDA) was €108 Mil.
Selling, General, & Admin. Expense(SGA) was €231 Mil.
Total Current Liabilities was €331 Mil.
Long-Term Debt & Capital Lease Obligation was €797 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) |
| = | (220.075 / 1633.64) | / | (206.71 / 1442.909) |
| = | 0.134715 | / | 0.143259 |
| | = | 0.9404 |
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) |
| = | (713.972 / 1442.909) | / | (787.866 / 1633.64) |
| = | 0.494814 | / | 0.482276 |
| | = | 1.026 |
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 - (318.495 + 308.453) / 1680.483) | / | (1 - (300.967 + 316.63) / 1667.621) |
| = | 0.626924 | / | 0.629654 |
| | = | 0.9957 |
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 |
| = | 1633.64 | / | 1442.909 |
| | = | 1.1322 |
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)) |
| = | (108.172 / (108.172 + 316.63)) | / | (112.362 / (112.362 + 308.453)) |
| = | 0.254641 | / | 0.26701 |
| | = | 0.9537 |
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) |
| = | (230.241 / 1633.64) | / | (230.765 / 1442.909) |
| = | 0.140937 | / | 0.15993 |
| | = | 0.8812 |
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) |
| = | ((797.886 + 387.926) / 1680.483) | / | ((796.76 + 331.443) / 1667.621) |
| = | 0.705638 | / | 0.676534 |
| | = | 1.043 |
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 |
| = | (186.26 - 0 | - | 378.587) | / | 1680.483 |
| | = | -0.114447 |
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.
IONOS Group SE has a M-score of -2.94 suggests that the company is unlikely to be a manipulator.
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