Snowflake Beneish M-Score Historical Data
The historical data trend for Snowflake'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.
Snowflake Beneish M-Score Chart
|
Snowflake Annual Data
|
|
Trend |
Jan19 |
Jan20 |
Jan21 |
Jan22 |
Jan23 |
Jan24 |
| Beneish M-Score |
|
Get a 7-Day Free Trial
|
- |
- |
-2.33 |
-2.91 |
-3.28 |
|
Snowflake Quarterly Data
|
|
Jan20 |
Apr20 |
Jul20 |
Oct20 |
Jan21 |
Apr21 |
Jul21 |
Oct21 |
Jan22 |
Apr22 |
Jul22 |
Oct22 |
Jan23 |
Apr23 |
Jul23 |
Oct23 |
Jan24 |
Apr24 |
Jul24 |
Oct24 |
| Beneish M-Score |
Get a 7-Day Free Trial
|
|
|
|
|
|
|
|
|
|
|
|
|
-3.32 |
-3.28 |
-3.71 |
-3.81 |
-3.82 |
Competitive Comparison of Snowflake's Beneish M-Score
For the Software - Application subindustry, Snowflake'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.
Snowflake's Beneish M-Score Distribution in the Software Industry
For the Software industry and Technology sector, Snowflake's Beneish M-Score distribution charts can be found below:
* The bar in red indicates where Snowflake's Beneish M-Score falls into.
Snowflake 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 Snowflake 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 * 0.8957 | + | 0.528 * 0.9999 | + | 0.404 * 0.949 | + | 0.892 * 1.3028 | + | 0.115 * 0.7896 |
| - | 0.172 * SGAI | + | 4.679 * TATA | - | 0.327 * LVGI |
| - | 0.172 * 0.9203 | + | 4.679 * -0.244926 | - | 0.327 * 2.0167 |
| = | -3.82 |
* 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 (Oct24) TTM: | Last Year (Oct23) TTM: |
Total Receivables was $596 Mil.
Revenue was 942.094 + 868.823 + 828.709 + 774.699 = $3,414 Mil.
Gross Profit was 621.2 + 580.745 + 556.192 + 532.895 = $2,291 Mil.
Total Current Assets was $4,984 Mil.
Total Assets was $8,202 Mil.
Property, Plant and Equipment(Net PPE) was $559 Mil.
Depreciation, Depletion and Amortization(DDA) was $167 Mil.
Selling, General, & Admin. Expense(SGA) was $1,981 Mil.
Total Current Liabilities was $2,647 Mil.
Long-Term Debt & Capital Lease Obligation was $2,557 Mil.
Net Income was -324.279 + -316.899 + -316.988 + -169.352 = $-1,128 Mil.
Non Operating Income was -8.474 + -7.946 + -21.302 + 47.533 = $10 Mil.
Cash Flow from Operations was 101.706 + 69.865 + 355.468 + 344.58 = $872 Mil.
|
Total Receivables was $511 Mil.
Revenue was 734.173 + 674.018 + 623.599 + 589.012 = $2,621 Mil.
Gross Profit was 505.225 + 455.626 + 414.185 + 383.355 = $1,758 Mil.
Total Current Assets was $4,312 Mil.
Total Assets was $7,264 Mil.
Property, Plant and Equipment(Net PPE) was $471 Mil.
Depreciation, Depletion and Amortization(DDA) was $105 Mil.
Selling, General, & Admin. Expense(SGA) was $1,652 Mil.
Total Current Liabilities was $2,033 Mil.
Long-Term Debt & Capital Lease Obligation was $253 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) |
| = | (596.352 / 3414.325) | / | (511.034 / 2620.802) |
| = | 0.174662 | / | 0.194991 |
| | = | 0.8957 |
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) |
| = | (1758.391 / 2620.802) | / | (2291.032 / 3414.325) |
| = | 0.670936 | / | 0.671006 |
| | = | 0.9999 |
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 - (4984.071 + 559.093) / 8202.258) | / | (1 - (4312.283 + 470.616) / 7264.379) |
| = | 0.32419 | / | 0.341596 |
| | = | 0.949 |
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 |
| = | 3414.325 | / | 2620.802 |
| | = | 1.3028 |
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)) |
| = | (104.643 / (104.643 + 470.616)) | / | (167.364 / (167.364 + 559.093)) |
| = | 0.181906 | / | 0.230384 |
| | = | 0.7896 |
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) |
| = | (1980.504 / 3414.325) | / | (1651.811 / 2620.802) |
| = | 0.580057 | / | 0.630269 |
| | = | 0.9203 |
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) |
| = | ((2557.34 + 2647.272) / 8202.258) | / | ((253.029 + 2032.672) / 7264.379) |
| = | 0.634534 | / | 0.314645 |
| | = | 2.0167 |
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 |
| = | (-1127.518 - 9.811 | - | 871.619) | / | 8202.258 |
| | = | -0.244926 |
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.
Snowflake has a M-score of -3.82 suggests that the company is unlikely to be a manipulator.
Quick Browse
Personalize
Premium Gurus 
Create New Portfolio
Portfolio Contest
LTS:0A93 has been successfully added to your