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California Says Amazon Pressured Retailers to Boost Prices on Their Websites to Not Undercut It
Bonta says Amazon used vendors to push rivals to raise prices or pull products, and the filing cites dozens of alleged price-fixing examples.
- On Monday, California Attorney General Rob Bonta unsealed evidence in a 2022 antitrust lawsuit alleging Amazon pressured vendors including Levi Strauss and Hanes to inflate prices on rival websites to avoid being undercut.
- The complaint alleges Amazon uses its dominant market position, controlling about 50% of U.S. e-commerce, to coerce suppliers into raising prices on competitors like Walmart and Target to protect its profit margins.
- Unsealed documents detail more than 15 instances where Amazon employees contacted suppliers including Levi Strauss and Hanes to ensure rival retailers like Home Depot and Chewy increased their prices.
- Bonta is seeking an injunction to halt the alleged practices immediately, with a hearing scheduled for July 23, while an Amazon spokesperson dismissed the motion as a "transparent attempt to distract."
- This California case is one of several antitrust actions facing the retailer, with a trial scheduled for Jan. 19, 2027, that could potentially force a breakup of its retail business.
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33 Articles
33 Articles
CA says Amazon pressured retailers to boost prices on their websites to not undercut it
California's attorney general alleges that Amazon uses its market power to pressure vendors like Levi Strauss and retailers like Walmart to raise prices on their websites.
·San Francisco, United States
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Associated Press News+5 Reposted by 5 other sources
California says Amazon pressured retailers to boost prices on their websites to not undercut it
California's attorney general alleges that Amazon uses its market power to pressure vendors like Levi Strauss and retailers like Walmart to raise prices on their websites.
·United States
Read Full Article
Coverage Details
Total News Sources33
Leaning Left10Leaning Right6Center9Last UpdatedBias Distribution40% Left
Bias Distribution
- 40% of the sources lean Left
40% Left
L 40%
C 36%
R 24%
Factuality
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