Vimeo Beneish M-Score Historical Data
The historical data trend for Vimeo'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.
Vimeo Beneish M-Score Chart
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Vimeo Annual Data
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Trend |
Dec19 |
Dec20 |
Dec21 |
Dec22 |
Dec23 |
| Beneish M-Score |
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- |
- |
-2.11 |
-2.76 |
-2.73 |
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Vimeo Quarterly Data
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Dec19 |
Mar20 |
Jun20 |
Sep20 |
Dec20 |
Mar21 |
Jun21 |
Sep21 |
Dec21 |
Mar22 |
Jun22 |
Sep22 |
Dec22 |
Mar23 |
Jun23 |
Sep23 |
Dec23 |
| Beneish M-Score |
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-2.76 |
-2.98 |
-3.12 |
-2.80 |
-2.73 |
Competitive Comparison of Vimeo's Beneish M-Score
For the Software - Application subindustry, Vimeo'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.
Vimeo's Beneish M-Score Distribution in the Software Industry
For the Software industry and Technology sector, Vimeo's Beneish M-Score distribution charts can be found below:
* The bar in red indicates where Vimeo's Beneish M-Score falls into.
Vimeo 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 Vimeo 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 * 0.8456 | + | 0.528 * 0.975 | + | 0.404 * 0.941 | + | 0.892 * 0.9349 | + | 0.115 * 0.9424 |
| - | 0.172 * SGAI | + | 4.679 * TATA | - | 0.327 * LVGI |
| - | 0.172 * 0.7514 | + | 4.679 * -0.025595 | - | 0.327 * 0.9466 |
| = | -2.78 |
* 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 (Dec23) TTM: | Last Year (Dec22) TTM: |
Total Receivables was R$130 Mil.
Revenue was 517.144 + 524.752 + 494.277 + 539.517 = R$2,076 Mil.
Gross Profit was 403.19 + 417.078 + 383.394 + 416.219 = R$1,620 Mil.
Total Current Assets was R$1,722 Mil.
Total Assets was R$3,052 Mil.
Property, Plant and Equipment(Net PPE) was R$3 Mil.
Depreciation, Depletion and Amortization(DDA) was R$24 Mil.
Selling, General, & Admin. Expense(SGA) was R$999 Mil.
Total Current Liabilities was R$1,112 Mil.
Long-Term Debt & Capital Lease Obligation was R$0 Mil.
Net Income was 41.134 + 41.801 + 28.496 + -3.636 = R$108 Mil.
Non Operating Income was 0.069 + 1.521 + -0.282 + -0.219 = R$1 Mil.
Cash Flow from Operations was 48.91 + 82.017 + 60.375 + -6.474 = R$185 Mil.
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Total Receivables was R$165 Mil.
Revenue was 553.725 + 567.006 + 560.179 + 539.213 = R$2,220 Mil.
Gross Profit was 424.091 + 434.621 + 424.507 + 406.064 = R$1,689 Mil.
Total Current Assets was R$1,701 Mil.
Total Assets was R$3,176 Mil.
Property, Plant and Equipment(Net PPE) was R$7 Mil.
Depreciation, Depletion and Amortization(DDA) was R$37 Mil.
Selling, General, & Admin. Expense(SGA) was R$1,421 Mil.
Total Current Liabilities was R$1,222 Mil.
Long-Term Debt & Capital Lease Obligation was R$0 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) |
| = | (130.359 / 2075.69) | / | (164.884 / 2220.123) |
| = | 0.062803 | / | 0.074268 |
| | = | 0.8456 |
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) |
| = | (1689.283 / 2220.123) | / | (1619.881 / 2075.69) |
| = | 0.760896 | / | 0.780406 |
| | = | 0.975 |
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 - (1722.123 + 2.974) / 3052.183) | / | (1 - (1701.22 + 7.108) / 3175.728) |
| = | 0.434799 | / | 0.462067 |
| | = | 0.941 |
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 |
| = | 2075.69 | / | 2220.123 |
| | = | 0.9349 |
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)) |
| = | (37.261 / (37.261 + 7.108)) | / | (24.336 / (24.336 + 2.974)) |
| = | 0.839798 | / | 0.891102 |
| | = | 0.9424 |
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) |
| = | (998.509 / 2075.69) | / | (1421.315 / 2220.123) |
| = | 0.481049 | / | 0.640197 |
| | = | 0.7514 |
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 + 1111.662) / 3052.183) | / | ((0 + 1221.937) / 3175.728) |
| = | 0.364219 | / | 0.384774 |
| | = | 0.9466 |
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 |
| = | (107.795 - 1.089 | - | 184.828) | / | 3052.183 |
| | = | -0.025595 |
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.
Vimeo has a M-score of -2.78 suggests that the company is unlikely to be a manipulator.
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