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TaxDollarData

United Cleanup Oak Ridge LLC

Federal Contractor · Rank #149

Total Federal Spending
$592.3M
$592,276,409
Total Obligations
1
Total Awards
1
Contracts
1
Agencies

Spending by Agency

Recent Awards

DescriptionAgencyStart DateAmount
OAK RIDGE RESERVATION CLEANUP CONTRACT TASK ORDERSDepartment of EnergyMay 17, 2023$2.2B

All federal spending data sourced from USAspending.gov, the official source for federal award data as mandated by the Government Accountability Office.

United Cleanup Oak Ridge LLC Federal Contracts FAQ

United Cleanup Oak Ridge LLC has received $592,276,409 in total federal obligations across 1 awards and 1 contracts.

United Cleanup Oak Ridge LLC works with 1 federal agencies, including Department of Energy. The largest agency relationships are based on total dollar obligations.

United Cleanup Oak Ridge LLC has received federal awards in multiple states.

United Cleanup Oak Ridge LLC is ranked #149 among the largest federal contractors by total obligation amount. Rankings are based on USASpending.gov data for FY2024.

Sources: USASpending.gov, Federal Procurement Data System
Last updated:

Spending figures represent total federal obligations for FY2024, as reported through USASpending.gov. Rankings are based on aggregate obligation amounts across all contract, grant, and direct payment awards.

For this entity, the underlying data on this page comes from USASpending.gov federal awards data. The breakdown above is the federal record; the paragraphs below add the per-entity context that makes the headline numbers usable for a real decision rather than just a data lookup.

Every number on this page links back to USASpending.gov federal awards data; the methodology page describes the inputs, refresh cadence, and known limitations of the underlying data product.

Practical use of this page is in combination with the comparison and ranking pages elsewhere on the site, which surface the same data for this entity’s peers within U.S. federal contracts, grants, and awards. A single-entity reading without peer context can be misleading when an entity is an outlier on one axis but typical on another.