Skyworks Solutions (SWKS) concentration risks

The company's disclosed concentration profile combines a high-share supplier dependency and a lower-share customer exposure, reflecting the operational structure of a fabless semiconductor company. On the supply side, the company is currently dependent on a limited number of sole-source suppliers, a high-share dependency whose character reflects the specialized nature of semiconductor fabrication inputs and process equipment. Sole-source dependencies in chip manufacturing arise from proprietary processes, long qualification timelines, and the limited number of suppliers capable of meeting specific technical requirements. A disruption at any sole-source supplier — whether due to capacity constraints, quality issues, geopolitical events, or natural disasters — could delay production and affect customer commitments. On the customer side, Apple constituted more than ten percent of net revenue, a lower-share dependency. The filing establishes a threshold disclosure without providing a precise percentage, indicating Apple is a meaningful individual customer whose product cycle timing, purchasing decisions, and design-win selection have a discernible influence on quarterly revenue. The lower disclosed-size band suggests Apple's share, while above ten percent, does not reach the scale seen in companies where a single customer approaches a majority of sales. The two exposures operate on different axes: the supplier dependency is a production and supply chain risk, while the customer dependency is a revenue and demand risk. Neither exposure is especially unusual for a semiconductor company that serves high-volume consumer electronics programs, but the sole-source supplier reliance represents the more idiosyncratic of the two disclosed concentrations, given the limited near-term ability to substitute if a key supplier is disrupted.

For the engine’s reasoning on SWKS’s current verdict — including which dimensions drove the score — see the per-dimension breakdown.

Concentration counts reflect items disclosed in each peer’s most recent 10-K; disclosed-size classification uses TrendMatrix’s internal 10-K extraction taxonomy.