WAG Payment Solutions Beneish M-Score Historical Data
The historical data trend for WAG Payment Solutions'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.
WAG Payment Solutions Beneish M-Score Chart
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WAG Payment Solutions Annual Data
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Trend |
Dec18 |
Dec19 |
Dec20 |
Dec21 |
Dec22 |
Dec23 |
Dec24 |
| Beneish M-Score |
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-3.06 |
-2.17 |
-2.17 |
-2.82 |
-2.95 |
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WAG Payment Solutions Semi-Annual Data
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Dec18 |
Dec19 |
Jun20 |
Dec20 |
Jun21 |
Dec21 |
Jun22 |
Dec22 |
Jun23 |
Dec23 |
Jun24 |
Dec24 |
| Beneish M-Score |
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-2.17 |
- |
-2.82 |
- |
-2.95 |
Competitive Comparison of WAG Payment Solutions's Beneish M-Score
For the Software - Infrastructure subindustry, WAG Payment Solutions'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.
WAG Payment Solutions's Beneish M-Score Distribution in the Software Industry
For the Software industry and Technology sector, WAG Payment Solutions's Beneish M-Score distribution charts can be found below:
* The bar in red indicates where WAG Payment Solutions's Beneish M-Score falls into.
WAG Payment Solutions 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 WAG Payment Solutions 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 * 0.8895 | + | 0.528 * 0.9393 | + | 0.404 * 0.9982 | + | 0.892 * 1.0711 | + | 0.115 * 0.9129 |
| - | 0.172 * SGAI | + | 4.679 * TATA | - | 0.327 * LVGI |
| - | 0.172 * 0 | + | 4.679 * -0.113053 | - | 0.327 * 0.9972 |
| = | -2.92 |
* 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 (Dec24) TTM: | Last Year (Dec23) TTM: |
Total Receivables was €283 Mil.
Revenue was €2,237 Mil.
Gross Profit was €293 Mil.
Total Current Assets was €497 Mil.
Total Assets was €1,117 Mil.
Property, Plant and Equipment(Net PPE) was €75 Mil.
Depreciation, Depletion and Amortization(DDA) was €65 Mil.
Selling, General, & Admin. Expense(SGA) was €0 Mil.
Total Current Liabilities was €535 Mil.
Long-Term Debt & Capital Lease Obligation was €282 Mil.
Net Income was €3 Mil.
Gross Profit was €0 Mil.
Cash Flow from Operations was €129 Mil.
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Total Receivables was €297 Mil.
Revenue was €2,088 Mil.
Gross Profit was €257 Mil.
Total Current Assets was €508 Mil.
Total Assets was €1,144 Mil.
Property, Plant and Equipment(Net PPE) was €78 Mil.
Depreciation, Depletion and Amortization(DDA) was €58 Mil.
Selling, General, & Admin. Expense(SGA) was €17 Mil.
Total Current Liabilities was €528 Mil.
Long-Term Debt & Capital Lease Obligation was €311 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) |
| = | (282.903 / 2236.573) | / | (296.928 / 2088.107) |
| = | 0.126489 | / | 0.1422 |
| | = | 0.8895 |
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) |
| = | (256.53 / 2088.107) | / | (292.538 / 2236.573) |
| = | 0.122853 | / | 0.130797 |
| | = | 0.9393 |
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 - (497.346 + 75.317) / 1116.787) | / | (1 - (507.819 + 77.986) / 1144.337) |
| = | 0.487223 | / | 0.488083 |
| | = | 0.9982 |
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 |
| = | 2236.573 | / | 2088.107 |
| | = | 1.0711 |
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)) |
| = | (57.529 / (57.529 + 77.986)) | / | (65.471 / (65.471 + 75.317)) |
| = | 0.424521 | / | 0.465033 |
| | = | 0.9129 |
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 / 2236.573) | / | (17.368 / 2088.107) |
| = | 0 | / | 0.008318 |
| | = | 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) |
| = | ((281.807 + 534.643) / 1116.787) | / | ((311.239 + 527.684) / 1144.337) |
| = | 0.73107 | / | 0.733108 |
| | = | 0.9972 |
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 |
| = | (2.696 - 0 | - | 128.952) | / | 1116.787 |
| | = | -0.113053 |
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.
WAG Payment Solutions has a M-score of -2.92 suggests that the company is unlikely to be a manipulator.
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