Check the listing for details. Sear Spring Upgrade Reduce Pull For Smith & Wesson SW40VE SW9VE S&W Sigma. Condition: New. Listed at 11.00 USD. Improved Sear Spring to fit the SW40 and SW9 Sigma. This spring will fit the following guns: SW40F, SW9F, SW40C, SW9C, SW40V, SW9V, SW40E, SW9E, SW40VE, SW40Ti, SW357V, SW9VE, SW9P, SW9G, SW380M, SW9MSIg Precision Compression Spring Direct replacement for the Sear Return Spring Improve your accuracy Tighten your groups without hurting the reliability of the Sigma No more tired hands No more missed targets due to the heavy trigger Reduce Trigger pull on Smith and Wesson S&W SW40VE SW9VE Sigma Kit Includes: One (1) Improved Sear Springs DOES NOT FIT ****** SD Series ****** PLEASE READShipping AlertCurrently The United State Postal Service are experiencing delays with some mail deliveries, due to the current environmental situation, office closures, volume of mail and lack of transportation. Mainly associated with but not limited to First ClassThey have indicated to us that in some cases it's taking a minimum of 10 business daysPlease note if your package is delayed, which can be seen from the tracking number we provide, please be patient as it's not our fault.Also we advise you to use the tracking system on the USPS website as it's more accurate and up to date.NOTE The average results of trigger pull measurements may differ by as much as +/- 1lb. There are many factors that can cause variations in trigger pull values, including differences in manufacturing processes, the age and wear of the firearm, and the method used to measure the trigger pull weight. No two firearms are exactly the same, and even firearms produced in the same year can have subtle variations. Additionally, the wear and usage of a firearm can affect the trigger pull, as the hammer and sear may become smoother and the spring may feel less stiff over time. It is important to use a reliable and accurate method, such as the Wheeler Professional Digital Trigger Pull Gauge, to measure trigger pull weights, and to take an average of multiple measurements to account for human error.