Company patents
Topgolf Callaway Brands Corp.
Topgolf Callaway Brands Corp's patent strategy, while heavily focused on Sports Equipment (46.6% of its portfolio), shows a surprising and significant emerging focus in manufacturing technologies, particularly with Welding & Soldering experiencing a remarkable 600.0% year-over-year growth in 2025, and Additive Manufacturing (3D Printing) growing by 33.3% in the same year, indicating a strategic push into advanced production methods beyond core consumer products. However, patenting activity across most categories, including the dominant Sports Equipment, shows a sharp decline so far in 2026, with many categories like Material & Chemical Analysis and Powder Metallurgy having zero patents filed year-to-date, suggesting a potential shift in R&D investment or a lag in patent application processing for the current partial year.
Patent Trend by Technology Area
Yearly patent publications since 2023
Product themes
Product-level themes inferred from filings since 2023, with category chips showing where each theme appears. Select a theme to filter the patents below.
326 US filings (since 2023) · 11 categories · 14 themes
Innovations in golf club heads, shafts, and balls focusing on material science, aerodynamic properties, weight distribution, and impact response to improve player performance and product durability.
Design and features of welding and soldering tools, fixtures, and accessories that enhance user safety, ergonomics, operational efficiency, and precise workpiece manipulation, including protective equipment and clamping mechanisms.
Computational methods and design principles for generating optimized geometries, internal structures (e.g., lattices, minimal surfaces), or functional features that are specifically enabled or enhanced by the capabilities of additive manufacturing.
Polymer compositions incorporating inorganic or organic filler materials to impart specific functional properties such as thermal conductivity, flame retardancy, electrical conductivity, or enhanced mechanical strength and dimensional stability.
Techniques for building three-dimensional metal objects layer-by-layer using metal powders, including powder bed fusion, binder jetting, and directed energy deposition. This theme encompasses process mechanics, equipment design, and operational control for AM systems.
Methods and tooling for forming structural components from fibrous materials impregnated with resin, involving processes like prepreg handling, resin infusion, and co-bonding during curing.
Synthesis and processing of silicon and silicon carbide materials in various forms (e.g., particles, nanowires, films) for applications beyond traditional semiconductors, such as battery components, refractories, or advanced electronics.
Specialized welding or bonding techniques and apparatuses tailored for joining small-scale electronic components, integrated circuits, or semiconductor wafers, emphasizing precision, miniaturization, and electrical connectivity.
Techniques for combining multiple materials or layers, often with specialized surface treatments, coatings, or assembly methods, to create functional or aesthetically enhanced plastic articles, including consumer goods and encapsulated electronics.
Using computational design and simulation to optimize the performance characteristics of specific components or materials within a larger engineering system.
Development of novel chemical compositions for fluxes, solders, and filler metals to improve material properties, enhance joint reliability, reduce defects, or meet specific application requirements like high-temperature reflow or specialized material joining.
Apparatuses and systems designed for handling, storing, practicing with, or maintaining equipment used in ball and net sports, such as pickleball, baseball, or basketball.
Systems that employ imaging and image processing to automatically detect defects, verify states, or ensure quality control in manufactured goods, printed materials, or industrial processes.
Systems using artificial intelligence and machine learning to monitor athlete performance, provide personalized training plans, predict physiological responses, or create virtual representations for feedback and analysis.
Patents
Showing 1-2 of 2
Component Performance Optimization