Orbbec Beneish M-Score Historical Data
The historical data trend for Orbbec'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.
Orbbec Beneish M-Score Chart
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Orbbec Annual Data
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Trend |
Dec18 |
Dec19 |
Dec20 |
Dec21 |
Dec22 |
Dec23 |
| Beneish M-Score |
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- |
- |
- |
-2.63 |
-2.61 |
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Orbbec Quarterly Data
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Dec18 |
Dec19 |
Sep20 |
Dec20 |
Mar21 |
Jun21 |
Sep21 |
Dec21 |
Mar22 |
Jun22 |
Sep22 |
Dec22 |
Mar23 |
Jun23 |
Sep23 |
Dec23 |
Mar24 |
| Beneish M-Score |
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-2.22 |
-1.80 |
-1.24 |
-2.61 |
-2.47 |
Competitive Comparison of Orbbec's Beneish M-Score
For the Communication Equipment subindustry, Orbbec'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.
Orbbec's Beneish M-Score Distribution in the Hardware Industry
For the Hardware industry and Technology sector, Orbbec's Beneish M-Score distribution charts can be found below:
* The bar in red indicates where Orbbec's Beneish M-Score falls into.
Orbbec 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 Orbbec 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 * 0.7722 | + | 0.528 * 1.0452 | + | 0.404 * 2.0905 | + | 0.892 * 1.1915 | + | 0.115 * 1 |
| - | 0.172 * SGAI | + | 4.679 * TATA | - | 0.327 * LVGI |
| - | 0.172 * 0.8186 | + | 4.679 * -0.040413 | - | 0.327 * 1.7987 |
| = | -2.47 |
* 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 ¥80.2 Mil.
Revenue was 92.911 + 100.633 + 94.035 + 104.077 = ¥391.7 Mil.
Gross Profit was 34.821 + 39.253 + 44.333 + 42.91 = ¥161.3 Mil.
Total Current Assets was ¥1,899.4 Mil.
Total Assets was ¥3,358.4 Mil.
Property, Plant and Equipment(Net PPE) was ¥310.7 Mil.
Depreciation, Depletion and Amortization(DDA) was ¥0.0 Mil.
Selling, General, & Admin. Expense(SGA) was ¥100.6 Mil.
Total Current Liabilities was ¥320.2 Mil.
Long-Term Debt & Capital Lease Obligation was ¥8.2 Mil.
Net Income was -28.781 + -83.946 + -51.721 + -72.097 = ¥-236.5 Mil.
Non Operating Income was 0 + 0 + 0 + 0 = ¥0.0 Mil.
Cash Flow from Operations was -33.63 + 25.237 + -39.798 + -52.63 = ¥-100.8 Mil.
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Total Receivables was ¥87.2 Mil.
Revenue was 61.261 + 104.967 + 62.061 + 100.424 = ¥328.7 Mil.
Gross Profit was 27.032 + 45.846 + 25.456 + 43.179 = ¥141.5 Mil.
Total Current Assets was ¥2,591.6 Mil.
Total Assets was ¥3,391.3 Mil.
Property, Plant and Equipment(Net PPE) was ¥245.1 Mil.
Depreciation, Depletion and Amortization(DDA) was ¥0.0 Mil.
Selling, General, & Admin. Expense(SGA) was ¥103.1 Mil.
Total Current Liabilities was ¥156.2 Mil.
Long-Term Debt & Capital Lease Obligation was ¥28.2 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) |
| = | (80.196 / 391.656) | / | (87.168 / 328.713) |
| = | 0.204761 | / | 0.26518 |
| | = | 0.7722 |
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) |
| = | (141.513 / 328.713) | / | (161.317 / 391.656) |
| = | 0.430506 | / | 0.411884 |
| | = | 1.0452 |
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 - (1899.433 + 310.745) / 3358.426) | / | (1 - (2591.591 + 245.078) / 3391.311) |
| = | 0.341901 | / | 0.163548 |
| | = | 2.0905 |
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 |
| = | 391.656 | / | 328.713 |
| | = | 1.1915 |
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)) |
| = | (0 / (0 + 245.078)) | / | (0 / (0 + 310.745)) |
| = | 0 | / | 0 |
| | = | 1 |
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) |
| = | (100.566 / 391.656) | / | (103.105 / 328.713) |
| = | 0.256771 | / | 0.313663 |
| | = | 0.8186 |
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) |
| = | ((8.248 + 320.156) / 3358.426) | / | ((28.213 + 156.156) / 3391.311) |
| = | 0.097785 | / | 0.054365 |
| | = | 1.7987 |
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 |
| = | (-236.545 - 0 | - | -100.821) | / | 3358.426 |
| | = | -0.040413 |
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.
Orbbec has a M-score of -2.47 suggests that the company is unlikely to be a manipulator.
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