Who Buys Old Catalytic Converters May 2026

The most common buyers for individual car owners or independent mechanics are local scrap yards and auto salvages. These businesses act as the primary collection points. They buy used converters at a fraction of their metal value, providing immediate cash to the seller. While convenient, these buyers typically offer lower rates because they must account for the logistical costs of sorting and transporting the units to larger processors. 🏭 Specialized Core Buyers

At the top of the supply chain are the recycling refineries. These industrial facilities do not typically buy single units from the public; instead, they deal in bulk shipments from core buyers and scrap networks. Refineries use chemical and thermal processes to decanister the converters, mill the ceramic "honeycomb" into a fine powder, and smelt it to extract pure platinum group metals (PGMs). These refined metals are then sold back to automotive manufacturers or the jewelry and electronics industries. who buys old catalytic converters

Above the local scrap yard are specialized catalytic converter "core buyers." These companies do not deal in general scrap metal; they focus exclusively on exhaust components. Core buyers often travel to various repair shops and dealerships to purchase large quantities of converters. They use sophisticated databases and handheld X-ray fluorescence (XRF) analyzers to determine the exact precious metal content of a unit, allowing them to offer more competitive and accurate pricing than a general scrapyard. 🧪 Large-Scale Refineries and Processors The most common buyers for individual car owners

Dataloop's AI Development Platform
Build end-to-end workflows

Build end-to-end workflows

Dataloop is a complete AI development stack, allowing you to make data, elements, models and human feedback work together easily.

  • Use one centralized tool for every step of the AI development process.
  • Import data from external blob storage, internal file system storage or public datasets.
  • Connect to external applications using a REST API & a Python SDK.
Save, share, reuse

Save, share, reuse

Every single pipeline can be cloned, edited and reused by other data professionals in the organization. Never build the same thing twice.

  • Use existing, pre-created pipelines for RAG, RLHF, RLAF, Active Learning & more.
  • Deploy multi-modal pipelines with one click across multiple cloud resources.
  • Use versions for your pipelines to make sure the deployed pipeline is the stable one.
Easily manage pipelines

Easily manage pipelines

Spend less time dealing with the logistics of owning multiple data pipelines, and get back to building great AI applications.

  • Easy visualization of the data flow through the pipeline.
  • Identify & troubleshoot issues with clear, node-based error messages.
  • Use scalable AI infrastructure that can grow to support massive amounts of data.