Conduent Beneish M-Score Historical Data
The historical data trend for Conduent'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.
Conduent Beneish M-Score Chart
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Conduent Annual Data
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Trend |
Dec14 |
Dec15 |
Dec16 |
Dec17 |
Dec18 |
Dec19 |
Dec20 |
Dec21 |
Dec22 |
Dec23 |
| Beneish M-Score |
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-2.79 |
-2.75 |
-2.77 |
-2.63 |
-2.75 |
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Conduent Quarterly Data
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Mar19 |
Jun19 |
Sep19 |
Dec19 |
Mar20 |
Jun20 |
Sep20 |
Dec20 |
Mar21 |
Jun21 |
Sep21 |
Dec21 |
Mar22 |
Jun22 |
Sep22 |
Dec22 |
Mar23 |
Jun23 |
Sep23 |
Dec23 |
| Beneish M-Score |
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-2.63 |
-2.55 |
-2.62 |
-2.51 |
-2.75 |
Competitive Comparison of Conduent's Beneish M-Score
For the Information Technology Services subindustry, Conduent'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.
Conduent's Beneish M-Score Distribution in the Software Industry
For the Software industry and Technology sector, Conduent's Beneish M-Score distribution charts can be found below:
* The bar in red indicates where Conduent's Beneish M-Score falls into.
Conduent 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 Conduent 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 * 0.9526 | + | 0.528 * 0.9717 | + | 0.404 * 0.8522 | + | 0.892 * 0.9647 | + | 0.115 * 0.8197 |
| - | 0.172 * SGAI | + | 4.679 * TATA | - | 0.327 * LVGI |
| - | 0.172 * 1.0789 | + | 4.679 * -0.01265 | - | 0.327 * 1.0877 |
| = | -2.75 |
* 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 $783 Mil.
Revenue was 953 + 932 + 915 + 922 = $3,722 Mil.
Gross Profit was 213 + 208 + 211 + 202 = $834 Mil.
Total Current Assets was $1,655 Mil.
Total Assets was $3,162 Mil.
Property, Plant and Equipment(Net PPE) was $388 Mil.
Depreciation, Depletion and Amortization(DDA) was $264 Mil.
Selling, General, & Admin. Expense(SGA) was $458 Mil.
Total Current Liabilities was $868 Mil.
Long-Term Debt & Capital Lease Obligation was $1,405 Mil.
Net Income was 6 + -289 + -7 + -6 = $-296 Mil.
Non Operating Income was -25 + -295 + -15 + -10 = $-345 Mil.
Cash Flow from Operations was 122 + -11 + -10 + -12 = $89 Mil.
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Total Receivables was $852 Mil.
Revenue was 986 + 977 + 928 + 967 = $3,858 Mil.
Gross Profit was 204 + 223 + 201 + 212 = $840 Mil.
Total Current Assets was $1,625 Mil.
Total Assets was $3,571 Mil.
Property, Plant and Equipment(Net PPE) was $463 Mil.
Depreciation, Depletion and Amortization(DDA) was $230 Mil.
Selling, General, & Admin. Expense(SGA) was $440 Mil.
Total Current Liabilities was $923 Mil.
Long-Term Debt & Capital Lease Obligation was $1,437 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) |
| = | (783 / 3722) | / | (852 / 3858) |
| = | 0.210371 | / | 0.22084 |
| | = | 0.9526 |
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) |
| = | (840 / 3858) | / | (834 / 3722) |
| = | 0.217729 | / | 0.224073 |
| | = | 0.9717 |
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 - (1655 + 388) / 3162) | / | (1 - (1625 + 463) / 3571) |
| = | 0.35389 | / | 0.41529 |
| | = | 0.8522 |
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 |
| = | 3722 | / | 3858 |
| | = | 0.9647 |
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)) |
| = | (230 / (230 + 463)) | / | (264 / (264 + 388)) |
| = | 0.33189 | / | 0.404908 |
| | = | 0.8197 |
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) |
| = | (458 / 3722) | / | (440 / 3858) |
| = | 0.123052 | / | 0.114049 |
| | = | 1.0789 |
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) |
| = | ((1405 + 868) / 3162) | / | ((1437 + 923) / 3571) |
| = | 0.718849 | / | 0.660879 |
| | = | 1.0877 |
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 |
| = | (-296 - -345 | - | 89) | / | 3162 |
| | = | -0.01265 |
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.
Conduent has a M-score of -2.75 suggests that the company is unlikely to be a manipulator.
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