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TaxDollarData

Obayashi Cms Jv

Federal Contractor · Rank #1267

Total Federal Spending
$60.2M
$60,170,304
Total Obligations
1
Total Awards
1
Contracts
1
Agencies

Spending by Agency

Recent Awards

DescriptionAgencyStart DateAmount
DESC1803 CONSTRUCT BULK STORAGE TANKS PH1, MCAS IWAKUNIDepartment of DefenseAug 26, 2024$60.0M

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

Obayashi Cms Jv Federal Contracts FAQ

Obayashi Cms Jv has received $60,170,304 in total federal obligations across 1 awards and 1 contracts.

Obayashi Cms Jv works with 1 federal agencies, including Department of Defense. The largest agency relationships are based on total dollar obligations.

Obayashi Cms Jv has received federal awards in multiple states.

Obayashi Cms Jv is ranked #1267 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.

this entity is one of the data points covered by this site’s U.S. federal government spending dataset. The detail above comes directly from USASpending.gov federal awards data; the context that follows situates the headline numbers against the broader distribution across U.S. federal contracts, grants, and awards.

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.