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The zones of discrimination for M-Score is as such:
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.
Good Sign:
Beneish M-Score -3.79 no higher than -1.78, which implies that the company is unlikely to be a manipulator.
The historical rank and industry rank for Smith Micro Software's Beneish M-Score or its related term are showing as below:
During the past 13 years, the highest Beneish M-Score of Smith Micro Software was 11.40. The lowest was -3.79. And the median was -2.37.
The historical data trend for Smith Micro Software'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.
Smith Micro Software Annual Data | |||||||||||||||||||||
Trend | Dec15 | Dec16 | Dec17 | Dec18 | Dec19 | Dec20 | Dec21 | Dec22 | Dec23 | Dec24 | |||||||||||
Beneish M-Score | Get a 7-Day Free Trial |
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-2.42 | -2.32 | -3.38 | -3.51 | -3.79 |
Smith Micro Software Quarterly Data | ||||||||||||||||||||
Mar20 | Jun20 | Sep20 | Dec20 | Mar21 | Jun21 | Sep21 | Dec21 | Mar22 | Jun22 | Sep22 | Dec22 | Mar23 | Jun23 | Sep23 | Dec23 | Mar24 | Jun24 | Sep24 | Dec24 | |
Beneish M-Score | Get a 7-Day Free Trial |
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-3.51 | -4.77 | -4.99 | -5.07 | -3.79 |
For the Software - Application subindustry, Smith Micro Software'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.
For the Software industry and Technology sector, Smith Micro Software's Beneish M-Score distribution charts can be found below:
* The bar in red indicates where Smith Micro Software's Beneish M-Score falls into.
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 Smith Micro Software 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 * 1.4374 | + | 0.528 * 1.0565 | + | 0.404 * 0.9622 | + | 0.892 * 0.503 | + | 0.115 * 0.979 | |
- | 0.172 * SGAI | + | 4.679 * TATA | - | 0.327 * LVGI | |||||||
- | 0.172 * 1.6206 | + | 4.679 * -0.228552 | - | 0.327 * 1.3116 | |||||||
= | -3.79 |
* 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 (Dec24) TTM: | Last Year (Dec23) TTM: |
Total Receivables was $5.72 Mil. Revenue was 4.969 + 4.648 + 5.14 + 5.798 = $20.56 Mil. Gross Profit was 3.759 + 3.327 + 3.533 + 3.81 = $14.43 Mil. Total Current Assets was $10.00 Mil. Total Assets was $48.05 Mil. Property, Plant and Equipment(Net PPE) was $2.91 Mil. Depreciation, Depletion and Amortization(DDA) was $6.30 Mil. Selling, General, & Admin. Expense(SGA) was $19.46 Mil. Total Current Liabilities was $5.65 Mil. Long-Term Debt & Capital Lease Obligation was $1.29 Mil. Net Income was -4.391 + -6.369 + -6.929 + -31.007 = $-48.70 Mil. Non Operating Income was -0.009 + 0.15 + 0.024 + -23.585 = $-23.42 Mil. Cash Flow from Operations was -4.927 + -3.815 + -4.208 + -1.345 = $-14.30 Mil. |
Total Receivables was $7.91 Mil. Revenue was 8.593 + 11.001 + 10.338 + 10.93 = $40.86 Mil. Gross Profit was 6.434 + 8.473 + 7.749 + 7.648 = $30.30 Mil. Total Current Assets was $16.88 Mil. Total Assets was $85.58 Mil. Property, Plant and Equipment(Net PPE) was $3.64 Mil. Depreciation, Depletion and Amortization(DDA) was $7.40 Mil. Selling, General, & Admin. Expense(SGA) was $23.87 Mil. Total Current Liabilities was $7.64 Mil. Long-Term Debt & Capital Lease Obligation was $1.78 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) |
= | (5.721 / 20.555) | / | (7.912 / 40.862) | |
= | 0.278326 | / | 0.193627 | |
= | 1.4374 |
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) | |
= | (30.304 / 40.862) | / | (14.429 / 20.555) | |
= | 0.741618 | / | 0.70197 | |
= | 1.0565 |
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 - (9.996 + 2.905) / 48.046) | / | (1 - (16.88 + 3.642) / 85.577) | |
= | 0.731486 | / | 0.760193 | |
= | 0.9622 |
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 | |
= | 20.555 | / | 40.862 | |
= | 0.503 |
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)) |
= | (7.395 / (7.395 + 3.642)) | / | (6.3 / (6.3 + 2.905)) | |
= | 0.670019 | / | 0.684411 | |
= | 0.979 |
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) |
= | (19.459 / 20.555) | / | (23.869 / 40.862) | |
= | 0.94668 | / | 0.584137 | |
= | 1.6206 |
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) |
= | ((1.287 + 5.651) / 48.046) | / | ((1.78 + 7.642) / 85.577) | |
= | 0.144403 | / | 0.1101 | |
= | 1.3116 |
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 | |
= | (-48.696 - -23.42 | - | -14.295) | / | 48.046 | |
= | -0.228552 |
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.
Smith Micro Software has a M-score of -3.79 suggests that the company is unlikely to be a manipulator.
Thank you for viewing the detailed overview of Smith Micro Software's Beneish M-Score provided by GuruFocus.com. Please click on the following links to see related term pages.
Thomas G Campbell | director | |
James M Kempton | officer: VP, CFO and Treasurer | 100 AIRSIDE DR, MOON TOWNSHIP PA 15108 |
Smith William W Jr | director, 10 percent owner, officer: President & CEO | 51 COLUMBIA, ALISOVIEJO CA 92656 |
Chetan Sharma | director | 5800 CORPORATE DR. 5TH FLOOR, PITTSBURGH PA 15237 |
Asha Keddy | director | 5800 CORPORATE DR., 5TH FLOOR, PITTSBURGH PA 15237 |
Andrew Arno | director | C/O MERRIMAN CURHAN FORD GROUP, INC., 600 CALIFORNIA STREET, 9TH FLOOR, SAN FRANCISCO CA 94108 |
Gregory J Szabo | director | 51 COLUMBIA, SUITE 200, ALISO VIEJO CA 92656 |
Smauel Gulko | director | 51 COLUMBIA, SUITE 200, ALISO VIEJO CA 92656 |
Michael K. Fox | officer: Interim CFO | 5800 CORPORATE DR., 5TH FLOOR, PITTSBURGH PA 15237 |
Timothy C. Huffmyer | officer: Chief Financial Officer | 1000 PARK DRIVE, LAWRENCE PA 15055 |
Steven Yasbek | officer: Chief Accounting Officer | 51 COLUMBIA, ALISO VIEJO CA 92656 |
Steven Lawrence Elfman | director | 51 COLUMBIA, ALISO VIEJO CA 92656 |
Christopher G Lippincott | other: VP - Internet & Direct Sales | 51 COLUMBIA, SUITE 200, ALISO VIEJO CA 92656 |
Andrew C Schmidt | officer: Chief Financial Officer | 1700 CARNEGIE AVE, SUITE 100, SANTA ANA CA 92705 |
Daniel Rawlings | officer: Chief Revenue Officer | 51 COLUMBIA, ALISO VIEJO CA 92656 |
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