Cloudera Beneish M-Score Historical Data
The historical data trend for Cloudera'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.
Cloudera Beneish M-Score Chart
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Cloudera Annual Data
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Jan16 |
Jan17 |
Jan18 |
Jan19 |
Jan20 |
Jan21 |
| Beneish M-Score |
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- |
-3.93 |
-1.55 |
-3.01 |
-3.11 |
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Cloudera Quarterly Data
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Oct16 |
Jan17 |
Apr17 |
Jul17 |
Oct17 |
Jan18 |
Apr18 |
Jul18 |
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Jan19 |
Apr19 |
Jul19 |
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Apr20 |
Jul20 |
Oct20 |
Jan21 |
Apr21 |
Jul21 |
| Beneish M-Score |
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-3.24 |
-3.05 |
-3.11 |
-3.63 |
-3.22 |
Competitive Comparison of Cloudera's Beneish M-Score
For the Software - Application subindustry, Cloudera'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.
Cloudera's Beneish M-Score Distribution in the Software Industry
For the Software industry and Technology sector, Cloudera's Beneish M-Score distribution charts can be found below:
* The bar in red indicates where Cloudera's Beneish M-Score falls into.
Cloudera 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 Cloudera 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 * 1.0987 | + | 0.528 * 0.914 | + | 0.404 * 1.0714 | + | 0.892 * 1.0838 | + | 0.115 * 0.8129 |
| - | 0.172 * SGAI | + | 4.679 * TATA | - | 0.327 * LVGI |
| - | 0.172 * 0.9404 | + | 4.679 * -0.144341 | - | 0.327 * 1.6158 |
| = | -3.22 |
* 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 (Jul21) TTM: | Last Year (Jul20) TTM: |
Total Receivables was $177.8 Mil.
Revenue was 236.057 + 224.283 + 226.563 + 217.899 = $904.8 Mil.
Gross Profit was 191.084 + 181.165 + 183.302 + 175.852 = $731.4 Mil.
Total Current Assets was $694.1 Mil.
Total Assets was $2,390.7 Mil.
Property, Plant and Equipment(Net PPE) was $147.6 Mil.
Depreciation, Depletion and Amortization(DDA) was $84.7 Mil.
Selling, General, & Admin. Expense(SGA) was $607.3 Mil.
Total Current Liabilities was $587.8 Mil.
Long-Term Debt & Capital Lease Obligation was $640.7 Mil.
Net Income was -33.205 + -40.401 + -54.778 + -13.945 = $-142.3 Mil.
Non Operating Income was 0.026 + -0.7 + -0.202 + -1.398 = $-2.3 Mil.
Cash Flow from Operations was -12.198 + 162.21 + 36.652 + 18.365 = $205.0 Mil.
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Total Receivables was $149.3 Mil.
Revenue was 214.336 + 210.46 + 211.72 + 198.292 = $834.8 Mil.
Gross Profit was 164.697 + 156.219 + 155.209 + 140.664 = $616.8 Mil.
Total Current Assets was $655.3 Mil.
Total Assets was $2,203.5 Mil.
Property, Plant and Equipment(Net PPE) was $215.7 Mil.
Depreciation, Depletion and Amortization(DDA) was $90.9 Mil.
Selling, General, & Admin. Expense(SGA) was $595.9 Mil.
Total Current Liabilities was $519.4 Mil.
Long-Term Debt & Capital Lease Obligation was $181.3 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) |
| = | (177.823 / 904.802) | / | (149.326 / 834.808) |
| = | 0.196533 | / | 0.178875 |
| | = | 1.0987 |
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) |
| = | (616.789 / 834.808) | / | (731.403 / 904.802) |
| = | 0.738839 | / | 0.808357 |
| | = | 0.914 |
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 - (694.141 + 147.593) / 2390.747) | / | (1 - (655.271 + 215.746) / 2203.526) |
| = | 0.64792 | / | 0.604717 |
| | = | 1.0714 |
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 |
| = | 904.802 | / | 834.808 |
| | = | 1.0838 |
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)) |
| = | (90.929 / (90.929 + 215.746)) | / | (84.737 / (84.737 + 147.593)) |
| = | 0.2965 | / | 0.364727 |
| | = | 0.8129 |
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) |
| = | (607.335 / 904.802) | / | (595.863 / 834.808) |
| = | 0.671235 | / | 0.713773 |
| | = | 0.9404 |
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) |
| = | ((640.719 + 587.768) / 2390.747) | / | ((181.339 + 519.439) / 2203.526) |
| = | 0.513851 | / | 0.318026 |
| | = | 1.6158 |
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 |
| = | (-142.329 - -2.274 | - | 205.029) | / | 2390.747 |
| | = | -0.144341 |
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.
Cloudera has a M-score of -3.22 suggests that the company is unlikely to be a manipulator.
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