U.S. stock insider trading | Adaptive disclosed 15 insider trading transactions of companies on March 13

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On March 13, 2026, Adaptive (ADPT) disclosed 15 insider trades by corporate insiders. Executive ROBINS HARLAN S sold 329.6k shares.

【Recent Insider Trading】

Disclosure Date Position Name Transaction Date Buy/Sell Quantity Price per Share/USD Total Amount/USD
March 13, 2026 Executive RUBINSTEIN JULIE March 12, 2026 Sell 13.7k 12.63 172.5k
March 13, 2026 Executive RUBINSTEIN JULIE March 13, 2026 Sell 19.1k 12.96 247.0k
March 13, 2026 Executive ROBINS HARLAN S March 11, 2026 Sell 470.3k 13.17 6.1934M
March 13, 2026 Executive RUBINSTEIN JULIE March 13, 2026 Buy 44.2k 6.55 289.3k
March 13, 2026 Executive BENZENO SHARON March 11, 2026 Sell 63.1k 13.17 831.1k
March 13, 2026 Director ROBINS CHAD M March 11, 2026 Sell 470.2k 13.17 6.1921M
March 13, 2026 Executive BOBULSKY SUSAN March 11, 2026 Sell 41.3k 13.17 544.4k
March 13, 2026 Executive LO FRANCIS March 11, 2026 Sell 30.6k 14.08 430.7k
March 13, 2026 Executive RUBINSTEIN JULIE March 12, 2026 Sell 5,400 13.43 72.5k
March 13, 2026 Executive RUBINSTEIN JULIE March 11, 2026 Sell 122.5k 13.17 1.6136M

【Company Profile】

Adaptive Biotechnologies Corporation was incorporated in the U.S. state of Washington on September 8, 2009. The company is advancing the field of immune-driven medicine by shifting from disease diagnosis and treatment through the use of the inherent biology of the adaptive immune system. The company believes that the adaptive immune system is nature’s most refined way to diagnose and treat most diseases, but it cannot decode information that prevents the medical community from fully utilizing its capabilities. The company’s immunology medicine platform uses proprietary technology to read multiple genetic codes in a patient’s immune system, accurately understanding how to detect and treat the patient’s diseases. The company’s immunology medicine platform uses proprietary technology to read multiple genetic codes in a patient’s immune system, accurately understanding how to detect and treat the patient’s diseases. The company captures these insights in a dynamic clinical immunomics database, which is based on computational biology and machine learning, and is used to develop and commercialize clinical products and services tailored for each patient.

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