Geovis Technology Co Beneish M-Score Historical Data
The historical data trend for Geovis Technology Co'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.
Geovis Technology Co Beneish M-Score Chart
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Geovis Technology Co Annual Data
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Dec16 |
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Dec18 |
Dec19 |
Dec20 |
Dec21 |
Dec22 |
Dec23 |
| Beneish M-Score |
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- |
-1.65 |
-1.74 |
-1.17 |
-1.60 |
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Geovis Technology Co Quarterly Data
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Jun19 |
Sep19 |
Dec19 |
Mar20 |
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Mar24 |
| Beneish M-Score |
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-1.38 |
-1.34 |
-1.52 |
-1.60 |
-1.44 |
Competitive Comparison of Geovis Technology Co's Beneish M-Score
For the Software - Application subindustry, Geovis Technology Co'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.
Geovis Technology Co's Beneish M-Score Distribution in the Software Industry
For the Software industry and Technology sector, Geovis Technology Co's Beneish M-Score distribution charts can be found below:
* The bar in red indicates where Geovis Technology Co's Beneish M-Score falls into.
Geovis Technology Co 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 Geovis Technology Co 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 * 1.0474 | + | 0.528 * 1.0268 | + | 0.404 * 1.5697 | + | 0.892 * 1.5689 | + | 0.115 * 1 |
| - | 0.172 * SGAI | + | 4.679 * TATA | - | 0.327 * LVGI |
| - | 0.172 * 0.854 | + | 4.679 * 0.068242 | - | 0.327 * 1.3173 |
| = | -1.44 |
* 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 ¥2,516 Mil.
Revenue was 418.602 + 1116.341 + 677.129 + 454.538 = ¥2,667 Mil.
Gross Profit was 201.171 + 533.078 + 309.705 + 235.415 = ¥1,279 Mil.
Total Current Assets was ¥4,441 Mil.
Total Assets was ¥5,933 Mil.
Property, Plant and Equipment(Net PPE) was ¥241 Mil.
Depreciation, Depletion and Amortization(DDA) was ¥0 Mil.
Selling, General, & Admin. Expense(SGA) was ¥273 Mil.
Total Current Liabilities was ¥1,918 Mil.
Long-Term Debt & Capital Lease Obligation was ¥49 Mil.
Net Income was 1.94 + 239.428 + 67.804 + 30.202 = ¥339 Mil.
Non Operating Income was 0 + 0 + 0 + 0 = ¥0 Mil.
Cash Flow from Operations was -404.724 + 513.009 + -150.565 + -23.247 = ¥-66 Mil.
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Total Receivables was ¥1,531 Mil.
Revenue was 267.588 + 749.327 + 378.28 + 304.499 = ¥1,700 Mil.
Gross Profit was 137.673 + 357.641 + 194.447 + 147.579 = ¥837 Mil.
Total Current Assets was ¥3,833 Mil.
Total Assets was ¥4,578 Mil.
Property, Plant and Equipment(Net PPE) was ¥130 Mil.
Depreciation, Depletion and Amortization(DDA) was ¥0 Mil.
Selling, General, & Admin. Expense(SGA) was ¥204 Mil.
Total Current Liabilities was ¥1,138 Mil.
Long-Term Debt & Capital Lease Obligation was ¥15 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) |
| = | (2515.717 / 2666.61) | / | (1530.885 / 1699.694) |
| = | 0.943414 | / | 0.900683 |
| | = | 1.0474 |
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) |
| = | (837.34 / 1699.694) | / | (1279.369 / 2666.61) |
| = | 0.492642 | / | 0.479774 |
| | = | 1.0268 |
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 - (4440.666 + 240.913) / 5933.289) | / | (1 - (3833.039 + 129.785) / 4578.1) |
| = | 0.210964 | / | 0.134395 |
| | = | 1.5697 |
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 |
| = | 2666.61 | / | 1699.694 |
| | = | 1.5689 |
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 + 129.785)) | / | (0 / (0 + 240.913)) |
| = | 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) |
| = | (273.367 / 2666.61) | / | (204.038 / 1699.694) |
| = | 0.102515 | / | 0.120044 |
| | = | 0.854 |
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) |
| = | ((49.224 + 1918.173) / 5933.289) | / | ((14.576 + 1137.788) / 4578.1) |
| = | 0.331586 | / | 0.251712 |
| | = | 1.3173 |
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 |
| = | (339.374 - 0 | - | -65.527) | / | 5933.289 |
| | = | 0.068242 |
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.
Geovis Technology Co has a M-score of -1.44 signals that the company is likely to be a manipulator.
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