ZoomInfo Technologies Beneish M-Score Historical Data
The historical data trend for ZoomInfo Technologies'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.
ZoomInfo Technologies Beneish M-Score Chart
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ZoomInfo Technologies Annual Data
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Dec18 |
Dec19 |
Dec20 |
Dec21 |
Dec22 |
Dec23 |
| Beneish M-Score |
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- |
-2.32 |
-1.90 |
-2.54 |
-2.67 |
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ZoomInfo Technologies Quarterly Data
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Dec19 |
Mar20 |
Jun20 |
Sep20 |
Dec20 |
Mar21 |
Jun21 |
Sep21 |
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Mar22 |
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Mar24 |
Jun24 |
Sep24 |
| Beneish M-Score |
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-2.49 |
-2.67 |
-2.83 |
-3.01 |
-3.12 |
Competitive Comparison of ZoomInfo Technologies's Beneish M-Score
For the Software - Application subindustry, ZoomInfo Technologies'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.
ZoomInfo Technologies's Beneish M-Score Distribution in the Software Industry
For the Software industry and Technology sector, ZoomInfo Technologies's Beneish M-Score distribution charts can be found below:
* The bar in red indicates where ZoomInfo Technologies's Beneish M-Score falls into.
ZoomInfo Technologies 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 ZoomInfo Technologies 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 * 0.7481 | + | 0.528 * 0.9982 | + | 0.404 * 1.0544 | + | 0.892 * 0.9975 | + | 0.115 * 1.3156 |
| - | 0.172 * SGAI | + | 4.679 * TATA | - | 0.327 * LVGI |
| - | 0.172 * 1.1868 | + | 4.679 * -0.08133 | - | 0.327 * 1.161 |
| = | -3.12 |
* 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 (Sep24) TTM: | Last Year (Sep23) TTM: |
Total Receivables was $169 Mil.
Revenue was 303.6 + 291.5 + 310.1 + 316.4 = $1,222 Mil.
Gross Profit was 256.3 + 245.6 + 266.7 + 272.2 = $1,041 Mil.
Total Current Assets was $391 Mil.
Total Assets was $6,395 Mil.
Property, Plant and Equipment(Net PPE) was $208 Mil.
Depreciation, Depletion and Amortization(DDA) was $83 Mil.
Selling, General, & Admin. Expense(SGA) was $685 Mil.
Total Current Liabilities was $624 Mil.
Long-Term Debt & Capital Lease Obligation was $1,359 Mil.
Net Income was 23.8 + -24.4 + 15.1 + -5.5 = $9 Mil.
Non Operating Income was 1 + 5.2 + -3.6 + 137.3 = $140 Mil.
Cash Flow from Operations was 18.2 + 126.3 + 115.9 + 128.8 = $389 Mil.
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Total Receivables was $227 Mil.
Revenue was 313.8 + 308.6 + 300.7 + 301.6 = $1,225 Mil.
Gross Profit was 269 + 265 + 255.2 + 252.4 = $1,042 Mil.
Total Current Assets was $855 Mil.
Total Assets was $7,071 Mil.
Property, Plant and Equipment(Net PPE) was $138 Mil.
Depreciation, Depletion and Amortization(DDA) was $83 Mil.
Selling, General, & Admin. Expense(SGA) was $579 Mil.
Total Current Liabilities was $573 Mil.
Long-Term Debt & Capital Lease Obligation was $1,315 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) |
| = | (169.1 / 1221.6) | / | (226.6 / 1224.7) |
| = | 0.138425 | / | 0.185025 |
| | = | 0.7481 |
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) |
| = | (1041.6 / 1224.7) | / | (1040.8 / 1221.6) |
| = | 0.850494 | / | 0.851997 |
| | = | 0.9982 |
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 - (390.7 + 208) / 6394.9) | / | (1 - (855.1 + 137.6) / 7070.9) |
| = | 0.906379 | / | 0.859608 |
| | = | 1.0544 |
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 |
| = | 1221.6 | / | 1224.7 |
| | = | 0.9975 |
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)) |
| = | (83.1 / (83.1 + 137.6)) | / | (83.4 / (83.4 + 208)) |
| = | 0.376529 | / | 0.286205 |
| | = | 1.3156 |
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) |
| = | (685.4 / 1221.6) | / | (579 / 1224.7) |
| = | 0.561067 | / | 0.472769 |
| | = | 1.1868 |
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) |
| = | ((1358.7 + 624.1) / 6394.9) | / | ((1315.3 + 573.1) / 7070.9) |
| = | 0.31006 | / | 0.267066 |
| | = | 1.161 |
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 |
| = | (9 - 139.9 | - | 389.2) | / | 6394.9 |
| | = | -0.08133 |
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.
ZoomInfo Technologies has a M-score of -3.12 suggests that the company is unlikely to be a manipulator.
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