Gilde Healthcare Holding B.V. sold $27K of SI (indirect holdings)

Shoulder Innovations (NYSE: SI) received FDA 510(k) clearance for its N-22 Humeral Head, a titanium implant for metal-sensitive patients. The company also launched the product commercially. The N-22 Humeral Head complements the N-22 Glenosphere, cleared earlier this year, for use in shoulder arthroplasty procedures. According to the company, this expansion may enhance surgeon relationships and operational centers. Shoulder Innovations focuses on shoulder surgical care, offering advanced implant

Shoulder Innovations (NYSE:SI) reported Q2 gross margin of 78.3% versus 76.2% a year earlier, with SG&A rising to $20.1M and R&D to $3.4M. Net loss narrowed to $10.2M. Cash totaled $99M at June 30. The company expects similar gross margins in 2H 2026 and plans FDA submissions for its robotic platform in 2027.

Shoulder Innovations (NYSE: SI) reported Q2 2026 net revenue of $17.2 million, up 56% year over year, with gross margin of 78.3%. Full-year 2026 net revenue guidance was raised to $67 million to $69 million. Cash and marketable securities totaled $99.0 million as of June 30, 2026.

Siemens said it signed an agreement to acquire privately held US EDA software firm Precision Innovations. Siemens said the deal will add AI-powered chip planning and early design exploration using the OpenROAD framework to help semiconductor teams optimize power, performance and area, reduce iterations, and speed SoC feasibility analysis and time to market.

SHOULDER INNOVATIONS, INC. (SI) filed an SEC Form 8-K — Results of Operations and Financial Condition. Exhibit 99.1 Shoulder Innovations Reports Second Quarter 2026 Financial Results and Raises Full Year Outlook Generates First Half 2026 Revenue Growth of 60% Grand Rapids, MI – August 6, 2026 – Shoulder Innovations, Inc. (Shoulder Innovations, or the company) (NYSE: SI), a commerc

Siemens said it agreed to acquire privately held Precision Innovations Inc., an electronic design automation firm. Siemens will add Precision’s AI-powered chip planning tools to its EDA portfolio to help semiconductor teams evaluate design tradeoffs earlier in system-on-a-chip development, aiming to improve power, performance and area outcomes and speed time to production.