Ruckus Wireless Beneish M-Score Historical Data
The historical data trend for Ruckus Wireless'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.
Ruckus Wireless Beneish M-Score Chart
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Ruckus Wireless Annual Data
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Dec10 |
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| Beneish M-Score |
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- |
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-2.65 |
-2.61 |
-2.59 |
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Ruckus Wireless Quarterly Data
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Dec10 |
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| Beneish M-Score |
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-2.59 |
-2.65 |
-2.37 |
-2.59 |
-2.49 |
Competitive Comparison of Ruckus Wireless's Beneish M-Score
For the Computer Hardware subindustry, Ruckus Wireless'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.
Ruckus Wireless's Beneish M-Score Distribution in the Hardware Industry
For the Hardware industry and Technology sector, Ruckus Wireless's Beneish M-Score distribution charts can be found below:
* The bar in red indicates where Ruckus Wireless's Beneish M-Score falls into.
Ruckus Wireless 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 Ruckus Wireless 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 * 1.1973 | + | 0.528 * 1.0056 | + | 0.404 * 1.0466 | + | 0.892 * 1.1735 | + | 0.115 * 0.9619 |
| - | 0.172 * SGAI | + | 4.679 * TATA | - | 0.327 * LVGI |
| - | 0.172 * 1.0027 | + | 4.679 * -0.07914 | - | 0.327 * 0.9785 |
| = | -2.49 |
* 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.
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) |
| = | (80.256 / 391.871) | / | (57.121 / 333.945) |
| = | 0.204802 | / | 0.171049 |
| | = | 1.1973 |
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) |
| = | (228.322 / 333.945) | / | (266.428 / 391.871) |
| = | 0.683711 | / | 0.679887 |
| | = | 1.0056 |
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 - (346.8 + 18.666) / 423.213) | / | (1 - (290.943 + 17.572) / 354.769) |
| = | 0.136449 | / | 0.130378 |
| | = | 1.0466 |
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 |
| = | 391.871 | / | 333.945 |
| | = | 1.1735 |
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)) |
| = | (10.533 / (10.533 + 17.572)) | / | (11.914 / (11.914 + 18.666)) |
| = | 0.374773 | / | 0.389601 |
| | = | 0.9619 |
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) |
| = | (160.098 / 391.871) | / | (136.061 / 333.945) |
| = | 0.408548 | / | 0.407435 |
| | = | 1.0027 |
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 + 83.469) / 423.213) | / | ((0 + 71.506) / 354.769) |
| = | 0.197227 | / | 0.201557 |
| | = | 0.9785 |
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 |
| = | (4.338 - -0.446 | - | 38.277) | / | 423.213 |
| | = | -0.07914 |
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.
Ruckus Wireless has a M-score of -2.49 suggests that the company is unlikely to be a manipulator.
Ruckus Wireless (Ruckus Wireless) Business Description
Traded in Other Exchanges
N/A
Address
Ruckus Wireless Inc., was incorporated in 2002 in Delaware as Sceos Technologies, Inc. and subsequently changed its name to Video54 Technologies, Inc. and then to Ruckus Wireless, Inc. It effectively commenced operations on June 1, 2004, when a new board of directors was appointed and senior management was hired. The Company is a provider of carrier-class Wi-Fi solutions. Its solutions are used by service providers and enterprises to solve network capacity and coverage challenges associated with the rapidly increasing traffic and number of users on wireless networks. Its Smart Wi-Fi solutions offer carriers enhanced reliability, consistent performance, extended range and massive scalability. Its product portfolio comprises of gateways, controllers and access points. These products incorporate Company's proprietary technologies, including Smart Radio, Smart QoS, Smart Mesh, SmartCell and Smart Scaling, to enable high performance in a variety of challenging operating conditions faced by service providers and enterprises. The Company sells its products to service providers and enterprises globally and has sold its products to approximately 18,700 end-customers worldwide. It sells to enterprises through a worldwide network of more than 6,000 value-added resellers and distributors. The Company's enterprise end-customers are mid-sized organizations in a variety of industries, including hospitality, education, healthcare, warehousing and logistics, corporate enterprise, retail, state and local government and public venues, such as stadiums, convention centers, airports and major outdoor public areas. It also sells directly and indirectly to a range of service providers, including mobile operators, cable companies, wholesale operators and fixed-line carriers. The Company has approximately 55 service provider end-customers, including Bright House Networks, The Cloud (a BSkyB Company), KDDI, Tikona Digital Networks, Time Warner Cable and Towerstream.
Executives
| Richard J. Lynch |
director |
140 WEST STREET, NEW YORK NY 10014 |
| Mohan S Gyani |
director |
7277 164TH AVE NE, BLDG1, REDMOND WA 98052 |
| Gaurav Garg |
director |
C/O RUCKUS WIRELESS, INC. 350 WEST JAVA DRIVE SUNNYVALE CA 94089 |
| Georges Antoun |
director |
C/O FIRST SOLAR, INC., 350 WEST WASHINGTON ST., SUITE 600, TEMPE AZ 85281 |
| Daniel A Rabinovitsj |
officer: Chief Operating Officer |
400 W CESAR CHAVEZ, AUSTIN TX 78701 |
| James J Goetz |
director |
C/O SEQUOIA CAPITAL, 2800 SAND HILL RD, SUITE 101, MENLO PARK CA 94025 |
| Sequoia Capital Us Growth Fund Iv Lp |
10 percent owner |
2800 SAND HILL RD, SUITE 101, MENLO PARK CA 94025 |
| Scgf Iv Management Lp |
10 percent owner |
2800 SAND HILL RD, SUITE 101, MENLO PARK CA 94025 |
| Sequoia Capital Usgf Principals Fund Iv Lp |
10 percent owner |
2800 SAND HILL RD, SUITE 101, MENLO PARK CA 94025 |
| Scgf Genpar Ltd |
10 percent owner |
3000 SAND HILL ROAD 4-250, MENLO PARK CA 94025 |
| Capital Ix Sequoia |
10 percent owner |
C/O SEQUOIA CAPITAL, 2800 SAND HILL RD, SUITE 101, MENLO PARK CA 94025 |
| Sequoia Capital Enterpreneurs Annex Fund |
10 percent owner |
2800 SAND HILL RD, SUITE 101, MENLO PARK CA 94025 |
| Sc Ix.i Management, Llc |
10 percent owner |
2800 SAND HILL RD, SUITE 101, MENLO PARK CA 94025 |
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