NCR Voyix Beneish M-Score Historical Data
The historical data trend for NCR Voyix'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.
NCR Voyix Beneish M-Score Chart
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NCR Voyix Annual Data
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Trend |
Dec15 |
Dec16 |
Dec17 |
Dec18 |
Dec19 |
Dec20 |
Dec21 |
Dec22 |
Dec23 |
Dec24 |
| Beneish M-Score |
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-3.01 |
-2.82 |
-3.01 |
-3.72 |
-0.91 |
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NCR Voyix Quarterly Data
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Mar20 |
Jun20 |
Sep20 |
Dec20 |
Mar21 |
Jun21 |
Sep21 |
Dec21 |
Mar22 |
Jun22 |
Sep22 |
Dec22 |
Mar23 |
Jun23 |
Sep23 |
Dec23 |
Mar24 |
Jun24 |
Sep24 |
Dec24 |
| Beneish M-Score |
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-3.72 |
-3.34 |
-2.12 |
285.50 |
-0.91 |
Competitive Comparison of NCR Voyix's Beneish M-Score
For the Information Technology Services subindustry, NCR Voyix'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.
NCR Voyix's Beneish M-Score Distribution in the Software Industry
For the Software industry and Technology sector, NCR Voyix's Beneish M-Score distribution charts can be found below:
* The bar in red indicates where NCR Voyix's Beneish M-Score falls into.
NCR Voyix 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 NCR Voyix 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 * 1.4416 | + | 0.528 * 1.0292 | + | 0.404 * 0.7906 | + | 0.892 * 0.9031 | + | 0.115 * 1.3555 |
| - | 0.172 * SGAI | + | 4.679 * TATA | - | 0.327 * LVGI |
| - | 0.172 * 0.8018 | + | 4.679 * 0.247754 | - | 0.327 * 0.7476 |
| = | -0.91 |
* 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 $539 Mil.
Revenue was 682 + 711 + 876 + 862 = $3,131 Mil.
Gross Profit was 149 + 166 + 191 + 196 = $702 Mil.
Total Current Assets was $1,671 Mil.
Total Assets was $4,452 Mil.
Property, Plant and Equipment(Net PPE) was $421 Mil.
Depreciation, Depletion and Amortization(DDA) was $297 Mil.
Selling, General, & Admin. Expense(SGA) was $504 Mil.
Total Current Liabilities was $1,420 Mil.
Long-Term Debt & Capital Lease Obligation was $1,346 Mil.
Net Income was -11 + 1082 + -73 + -40 = $958 Mil.
Non Operating Income was 1 + 0 + 0 + -14 = $-13 Mil.
Cash Flow from Operations was -170 + 11 + 62 + -35 = $-132 Mil.
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Total Receivables was $414 Mil.
Revenue was 796 + 809 + 946 + 916 = $3,467 Mil.
Gross Profit was 111 + 195 + 264 + 230 = $800 Mil.
Total Current Assets was $1,206 Mil.
Total Assets was $4,990 Mil.
Property, Plant and Equipment(Net PPE) was $438 Mil.
Depreciation, Depletion and Amortization(DDA) was $559 Mil.
Selling, General, & Admin. Expense(SGA) was $696 Mil.
Total Current Liabilities was $1,333 Mil.
Long-Term Debt & Capital Lease Obligation was $2,814 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) |
| = | (539 / 3131) | / | (414 / 3467) |
| = | 0.172149 | / | 0.119412 |
| | = | 1.4416 |
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) |
| = | (800 / 3467) | / | (702 / 3131) |
| = | 0.230747 | / | 0.22421 |
| | = | 1.0292 |
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 - (1671 + 421) / 4452) | / | (1 - (1206 + 438) / 4990) |
| = | 0.530099 | / | 0.670541 |
| | = | 0.7906 |
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 |
| = | 3131 | / | 3467 |
| | = | 0.9031 |
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)) |
| = | (559 / (559 + 438)) | / | (297 / (297 + 421)) |
| = | 0.560682 | / | 0.413649 |
| | = | 1.3555 |
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) |
| = | (504 / 3131) | / | (696 / 3467) |
| = | 0.160971 | / | 0.20075 |
| | = | 0.8018 |
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) |
| = | ((1346 + 1420) / 4452) | / | ((2814 + 1333) / 4990) |
| = | 0.621294 | / | 0.831062 |
| | = | 0.7476 |
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 |
| = | (958 - -13 | - | -132) | / | 4452 |
| | = | 0.247754 |
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.
NCR Voyix has a M-score of -0.91 signals that the company is likely to be a manipulator.
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