18V Cordless 5-3/8" Metal Cutting Saw Chip Collect - Makita

Features and Benefits: Up to 2" cutting depth in various metal materials including thread rod, channel strut, conduit, pipe, square tubing, sheet metal and more;Makita-built motor delivers 3,600 RPM for faster cutting using an 18V LXT? Lithium-Ion battery (battery not included);Transparent chip collector box captures debris produced while cutting and provides needed visibility in determining need for disposal;Electric brake allows the tool to be repositioned faster for maximum productivity;Trigger switch with two stage lock-off requires two actions to power the saw;Built-in L.E.D. light with an independent on/off illuminates the cutting line at the front of the saw;Stainless steel base reduces chip build-up to prevent surface damage;Rubberized soft grip handle provides increased comfort on the job;On-board wrench storage for operator convenience;Compact and low-profile design at only 13-3/4" long;Makita is the leader in brushless motor technology, and the 18V LXT? Lithium-Ion Cordless 5-3/8? Metal Cutting Saw (model XSC03Z, tool only) delivers faster metal cutting through Unistrut?, all thread, channel, conduit, pipe, sheet metal, square tubing, steel and more. With a maximum 2" cutting capacity, it is ideal for electrical contractors since it will cut 2? conduit in one pass ? a huge time saver. It is also ideal for HVAC, installation, metal building, metal fabrication, plumbing, metal roofing, and for any pro-contractor who requires a best-in-class cordless metal cutting saw. The XSC03Z features a transparent chip collector box which captures debris produced while cutting and provides needed visibility in determining need for disposal. Additional features include a trigger switch with two stage lock-off requiring two actions to power the saw and an electric brake allowing the tool to be repositioned for maximum productivity. Makita offers four optimum 5-3/8" blade options for use with the XSC03Z: 30T carbide tipped for metal and general purpose; 50T for thin meta