Trading card and collectibles distributor with retail category management
MJ Holding distributes trading cards, supplies and collectibles to retailers across the US and Canada, running planograms and replenishment for store modulars. Its stack centers on Dynamics 365 Business Central and NAV alongside Snowflake, dbt, Airflow and Power BI, which points to an ERP-anchored operation building a modern analytics layer. Ops-heavy hiring and pain points around store-level execution and cross-system data accuracy show where the strain sits.
MJ Holding Company, LLC is a privately held distributor of gaming, sports and entertainment trading cards, related supplies, collectibles, novelty toys and trend items. Founded in 1993 and headquartered in Bridgeview, Illinois, it employs 51–200 people. The company manages retail category programs for its store partners, covering category planning, planogram development, initial distribution, replenishment and in-store merchandising. It also offers manufacturers a route into retail distribution. It has grown its footprint through acquisitions and operates across the United States and Canada.
MJ Holding Company's stack includes Microsoft Dynamics 365 Business Central and Dynamics NAV, with SAP, Oracle and NetSuite also appearing in its technology profile.
Its data stack includes Snowflake, Databricks, BigQuery, dbt, Apache Airflow, Azure Data Factory, Great Expectations and Python, with Power BI and Tableau for reporting.
Yes, at a steady pace in the United States, mostly mid-level operations roles plus data work, consistent with its distribution center and merchandising operations.
Other companies in the same industry, closest in size
MJ Holding Company, LLC's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.