#United States #Washington #U.S. News #Best Companies #Careers

U.S. News & World Report Announces the Best Companies to Work For 2025-2026

On May 29, 2025, U.S. News & World Report, a leading authority on consumer rankings and advice, unveiled the updated rankings for the 2025-2026 Best Companies to Work For. This year’s announcement introduces an exciting expansion: the inclusion of companies recognized for providing outstanding internship opportunities to help guide both students and recent graduates in their employment journey.

The comprehensive list highlights 636 companies from various industries and regions across the United States, reflecting a broad spectrum tailored to meet the needs of full-time employees. The new features aim to assist internship-seeking students and young professionals in finding companies that prioritize their future careers.

Carly Chase, Vice President of Careers at U.S. News, emphasized the ongoing commitment of the publication to deliver essential insights to job seekers. She noted, “Every year, U.S. News seeks to identify the most valuable insights to support employees and job seekers as they make path-altering decisions for their careers. This year, the Best Companies ratings deepen U.S. News' commitment to offering useful careers advice for students as they consider employment and education decisions in tandem.”

The methodology used to gauge the best companies to work for now broader reflects changing priorities and what employees perceive as essential in a workplace. Factors considered include quality pay and benefits, work-life balance, job stability, and career development opportunities, alongside additional aspects such as psychological comfort and belonging.

U.S. News employs a panel of eight experts to analyze publicly available employee sentiment, complemented by data from sources such as Glassdoor, Good Jobs First's Violation Tracker, and QUODD. This year’s adjustment to group companies by an industry schema, crafted with the help of data partner Revelio Labs, enhances user-friendliness in classification.