RadNet
| Industry | Radiology, Diagnostic imaging |
|---|---|
| Predecessor | Primedex Health Systems |
| Founded | 1981 in Los Angeles, California, United States |
| Headquarters | Los Angeles , United States |
Area served | Arizona, California, Delaware, Florida, Maryland, New Jersey, New York, Texas |
| Products | Outpatient diagnostic imaging services |
RadNet is a U.S.-based company specializing in radiology, primarily providing outpatient diagnostic imaging services. With its headquarters located in Los Angeles, California, it stands as the largest operator of independent, fixed-location diagnostic imaging centers nationwide, based on both the number of sites and annual imaging revenue. By 2025, RadNet manages or owns more than 400 imaging facilities spread across Arizona, California, Delaware, Florida, Maryland, New Jersey, New York, and Texas.
History
RadNet began in 1981 as a modest imaging center in Los Angeles. In 1992, it was acquired by Primedex Health Systems, a California-based management company supporting small medical clinics. Primedex concentrated on overseeing diagnostic imaging services through RadNet. By the late 1990s, RadNet overtook Primedex to become the parent organization, integrating many of Primedex's holdings.
During the early 2000s, RadNet grew by acquiring smaller radiology companies. It repaid its outstanding debt in 2005 and obtained a $450 million syndicated loan from General Electric in 2006 to fund additional acquisitions. That same year featured a stock split which designated RadNet as the primary parent company while Primedex transitioned into a subsidiary role.
In November 2019, RadNet was added to the S&P 600 index, taking the place of newspaper publisher Gannett Co.
Operations
RadNet pursues growth by purchasing smaller imaging centers and establishing new outpatient locations designed to integrate with existing healthcare systems. The company strategically expanded into artificial intelligence by acquiring DeepHealth, a firm specializing in machine learning technologies for radiology AI solutions.