Mobileye Global Beneish M-Score Historical Data
The historical data trend for Mobileye Global'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.
Mobileye Global Beneish M-Score Chart
|
Mobileye Global Annual Data
|
|
Trend |
Dec19 |
Dec20 |
Dec21 |
Dec22 |
Dec23 |
| Beneish M-Score |
|
- |
- |
- |
-1.92 |
-2.36 |
|
Mobileye Global Quarterly Data
|
|
Dec19 |
Dec20 |
Jun21 |
Sep21 |
Dec21 |
Mar22 |
Jun22 |
Sep22 |
Dec22 |
Mar23 |
Jun23 |
Sep23 |
Dec23 |
Mar24 |
| Beneish M-Score |
Get a 7-Day Free Trial
|
|
|
|
|
|
|
- |
-2.94 |
-2.91 |
-2.36 |
-3.01 |
Competitive Comparison of Mobileye Global's Beneish M-Score
For the Auto Parts subindustry, Mobileye Global'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.
Mobileye Global's Beneish M-Score Distribution in the Vehicles & Parts Industry
For the Vehicles & Parts industry and Consumer Cyclical sector, Mobileye Global's Beneish M-Score distribution charts can be found below:
* The bar in red indicates where Mobileye Global's Beneish M-Score falls into.
Mobileye Global 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 Mobileye Global 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 * 0.5218 | + | 0.528 * 1.0257 | + | 0.404 * 0.9741 | + | 0.892 * 0.9622 | + | 0.115 * 1.1081 |
| - | 0.172 * SGAI | + | 4.679 * TATA | - | 0.327 * LVGI |
| - | 0.172 * 1.0737 | + | 4.679 * -0.027962 | - | 0.327 * 0.7932 |
| = | -3.01 |
* 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 (Mar24) TTM: | Last Year (Mar23) TTM: |
Total Receivables was $120 Mil.
Revenue was 239 + 637 + 530 + 454 = $1,860 Mil.
Gross Profit was 54 + 344 + 272 + 224 = $894 Mil.
Total Current Assets was $1,931 Mil.
Total Assets was $15,342 Mil.
Property, Plant and Equipment(Net PPE) was $454 Mil.
Depreciation, Depletion and Amortization(DDA) was $498 Mil.
Selling, General, & Admin. Expense(SGA) was $187 Mil.
Total Current Liabilities was $329 Mil.
Long-Term Debt & Capital Lease Obligation was $0 Mil.
Net Income was -218 + 63 + 17 + -28 = $-166 Mil.
Non Operating Income was 0 + 0 + 0 + 0 = $0 Mil.
Cash Flow from Operations was 40 + 109 + 88 + 26 = $263 Mil.
|
Total Receivables was $239 Mil.
Revenue was 458 + 565 + 450 + 460 = $1,933 Mil.
Gross Profit was 207 + 300 + 217 + 229 = $953 Mil.
Total Current Assets was $1,655 Mil.
Total Assets was $15,462 Mil.
Property, Plant and Equipment(Net PPE) was $401 Mil.
Depreciation, Depletion and Amortization(DDA) was $553 Mil.
Selling, General, & Admin. Expense(SGA) was $181 Mil.
Total Current Liabilities was $418 Mil.
Long-Term Debt & Capital Lease Obligation was $0 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) |
| = | (120 / 1860) | / | (239 / 1933) |
| = | 0.064516 | / | 0.123642 |
| | = | 0.5218 |
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) |
| = | (953 / 1933) | / | (894 / 1860) |
| = | 0.493016 | / | 0.480645 |
| | = | 1.0257 |
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 - (1931 + 454) / 15342) | / | (1 - (1655 + 401) / 15462) |
| = | 0.844544 | / | 0.867029 |
| | = | 0.9741 |
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 |
| = | 1860 | / | 1933 |
| | = | 0.9622 |
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)) |
| = | (553 / (553 + 401)) | / | (498 / (498 + 454)) |
| = | 0.579665 | / | 0.523109 |
| | = | 1.1081 |
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) |
| = | (187 / 1860) | / | (181 / 1933) |
| = | 0.100538 | / | 0.093637 |
| | = | 1.0737 |
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) |
| = | ((0 + 329) / 15342) | / | ((0 + 418) / 15462) |
| = | 0.021444 | / | 0.027034 |
| | = | 0.7932 |
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 |
| = | (-166 - 0 | - | 263) | / | 15342 |
| | = | -0.027962 |
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.
Mobileye Global has a M-score of -3.01 suggests that the company is unlikely to be a manipulator.
Quick Browse
Personalize
Premium Gurus 
Create New Portfolio
Portfolio Contest
MBLY has been successfully added to your