Omnicell Beneish M-Score Historical Data
The historical data trend for Omnicell'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.
Omnicell Beneish M-Score Chart
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Omnicell Annual Data
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Trend |
Dec15 |
Dec16 |
Dec17 |
Dec18 |
Dec19 |
Dec20 |
Dec21 |
Dec22 |
Dec23 |
Dec24 |
| Beneish M-Score |
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-3.21 |
-2.53 |
-2.46 |
-3.01 |
-2.75 |
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Omnicell 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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-3.01 |
-3.14 |
-3.02 |
-2.89 |
-2.75 |
Competitive Comparison of Omnicell's Beneish M-Score
For the Health Information Services subindustry, Omnicell'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.
Omnicell's Beneish M-Score Distribution in the Healthcare Providers & Services Industry
For the Healthcare Providers & Services industry and Healthcare sector, Omnicell's Beneish M-Score distribution charts can be found below:
* The bar in red indicates where Omnicell's Beneish M-Score falls into.
Omnicell 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 Omnicell 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 * 1.0492 | + | 0.528 * 1.0228 | + | 0.404 * 1.0512 | + | 0.892 * 0.9696 | + | 0.115 * 1.0596 |
| - | 0.172 * SGAI | + | 4.679 * TATA | - | 0.327 * LVGI |
| - | 0.172 * 0.9024 | + | 4.679 * -0.0826 | - | 0.327 * 0.8574 |
| = | -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 (Dec24) TTM: | Last Year (Dec23) TTM: |
Total Receivables was $256 Mil.
Revenue was 306.879 + 282.42 + 276.788 + 246.151 = $1,112 Mil.
Gross Profit was 141.761 + 122.268 + 114.351 + 92.623 = $471 Mil.
Total Current Assets was $815 Mil.
Total Assets was $2,121 Mil.
Property, Plant and Equipment(Net PPE) was $138 Mil.
Depreciation, Depletion and Amortization(DDA) was $90 Mil.
Selling, General, & Admin. Expense(SGA) was $380 Mil.
Total Current Liabilities was $596 Mil.
Long-Term Debt & Capital Lease Obligation was $198 Mil.
Net Income was 15.842 + 8.63 + 3.735 + -15.676 = $13 Mil.
Non Operating Income was 0 + 0 + 0 + 0 = $0 Mil.
Cash Flow from Operations was 56.315 + 22.754 + 58.7 + 49.953 = $188 Mil.
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Total Receivables was $252 Mil.
Revenue was 258.847 + 298.663 + 298.973 + 290.629 = $1,147 Mil.
Gross Profit was 105.404 + 131.964 + 134.443 + 125.029 = $497 Mil.
Total Current Assets was $928 Mil.
Total Assets was $2,227 Mil.
Property, Plant and Equipment(Net PPE) was $134 Mil.
Depreciation, Depletion and Amortization(DDA) was $96 Mil.
Selling, General, & Admin. Expense(SGA) was $435 Mil.
Total Current Liabilities was $368 Mil.
Long-Term Debt & Capital Lease Obligation was $604 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) |
| = | (256.398 / 1112.238) | / | (252.025 / 1147.112) |
| = | 0.230524 | / | 0.219704 |
| | = | 1.0492 |
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) |
| = | (496.84 / 1147.112) | / | (471.003 / 1112.238) |
| = | 0.433122 | / | 0.423473 |
| | = | 1.0228 |
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 - (815.493 + 138.299) / 2120.96) | / | (1 - (927.571 + 133.589) / 2226.878) |
| = | 0.550302 | / | 0.523476 |
| | = | 1.0512 |
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 |
| = | 1112.238 | / | 1147.112 |
| | = | 0.9696 |
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)) |
| = | (95.558 / (95.558 + 133.589)) | / | (89.755 / (89.755 + 138.299)) |
| = | 0.417016 | / | 0.393569 |
| | = | 1.0596 |
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) |
| = | (380.254 / 1112.238) | / | (434.593 / 1147.112) |
| = | 0.341882 | / | 0.378858 |
| | = | 0.9024 |
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) |
| = | ((197.52 + 595.678) / 2120.96) | / | ((603.572 + 367.792) / 2226.878) |
| = | 0.373981 | / | 0.4362 |
| | = | 0.8574 |
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 |
| = | (12.531 - 0 | - | 187.722) | / | 2120.96 |
| | = | -0.0826 |
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.
Omnicell has a M-score of -2.75 suggests that the company is unlikely to be a manipulator.
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