Veralto Beneish M-Score Historical Data
The historical data trend for Veralto'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.
Veralto Beneish M-Score Chart
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Veralto Annual Data
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Trend |
Dec20 |
Dec21 |
Dec22 |
Dec23 |
Dec24 |
| Beneish M-Score |
|
- |
- |
- |
- |
-2.49 |
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Veralto Quarterly Data
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|
Dec21 |
Sep22 |
Dec22 |
Mar23 |
Jun23 |
Sep23 |
Dec23 |
Mar24 |
Jun24 |
Sep24 |
Dec24 |
Mar25 |
| Beneish M-Score |
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|
|
|
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- |
-2.59 |
-2.51 |
-2.49 |
-2.46 |
Competitive Comparison of Veralto's Beneish M-Score
For the Pollution & Treatment Controls subindustry, Veralto'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.
Veralto's Beneish M-Score Distribution in the Industrial Products Industry
For the Industrial Products industry and Industrials sector, Veralto's Beneish M-Score distribution charts can be found below:
* The bar in red indicates where Veralto's Beneish M-Score falls into.
Veralto 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 Veralto 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 * 0.975 | + | 0.528 * 0.9732 | + | 0.404 * 0.9845 | + | 0.892 * 1.047 | + | 0.115 * 1.1316 |
| - | 0.172 * SGAI | + | 4.679 * TATA | - | 0.327 * LVGI |
| - | 0.172 * 1.0153 | + | 4.679 * -0.006471 | - | 0.327 * 0.8649 |
| = | -2.46 |
* 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 (Mar25) TTM: | Last Year (Mar24) TTM: |
Total Receivables was $832 Mil.
Revenue was 1332 + 1345 + 1314 + 1288 = $5,279 Mil.
Gross Profit was 805 + 801 + 783 + 774 = $3,163 Mil.
Total Current Assets was $2,558 Mil.
Total Assets was $6,645 Mil.
Property, Plant and Equipment(Net PPE) was $274 Mil.
Depreciation, Depletion and Amortization(DDA) was $76 Mil.
Selling, General, & Admin. Expense(SGA) was $1,669 Mil.
Total Current Liabilities was $1,170 Mil.
Long-Term Debt & Capital Lease Obligation was $2,630 Mil.
Net Income was 225 + 227 + 219 + 203 = $874 Mil.
Non Operating Income was -6 + 0 + 5 + 1 = $0 Mil.
Cash Flow from Operations was 157 + 285 + 224 + 251 = $917 Mil.
|
Total Receivables was $815 Mil.
Revenue was 1246 + 1288 + 1255 + 1253 = $5,042 Mil.
Gross Profit was 747 + 746 + 723 + 724 = $2,940 Mil.
Total Current Assets was $2,117 Mil.
Total Assets was $5,708 Mil.
Property, Plant and Equipment(Net PPE) was $264 Mil.
Depreciation, Depletion and Amortization(DDA) was $86 Mil.
Selling, General, & Admin. Expense(SGA) was $1,570 Mil.
Total Current Liabilities was $1,156 Mil.
Long-Term Debt & Capital Lease Obligation was $2,618 Mil.
|
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) |
| = | (832 / 5279) | / | (815 / 5042) |
| = | 0.157606 | / | 0.161642 |
| | = | 0.975 |
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) |
| = | (2940 / 5042) | / | (3163 / 5279) |
| = | 0.583102 | / | 0.599167 |
| | = | 0.9732 |
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 - (2558 + 274) / 6645) | / | (1 - (2117 + 264) / 5708) |
| = | 0.573815 | / | 0.582866 |
| | = | 0.9845 |
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 |
| = | 5279 | / | 5042 |
| | = | 1.047 |
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)) |
| = | (86 / (86 + 264)) | / | (76 / (76 + 274)) |
| = | 0.245714 | / | 0.217143 |
| | = | 1.1316 |
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) |
| = | (1669 / 5279) | / | (1570 / 5042) |
| = | 0.316158 | / | 0.311384 |
| | = | 1.0153 |
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) |
| = | ((2630 + 1170) / 6645) | / | ((2618 + 1156) / 5708) |
| = | 0.571859 | / | 0.661177 |
| | = | 0.8649 |
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 |
| = | (874 - 0 | - | 917) | / | 6645 |
| | = | -0.006471 |
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.
Veralto has a M-score of -2.46 suggests that the company is unlikely to be a manipulator.
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