FS 7410 fire dozer repairs-WCF normal repairs and charge back due to damages, shasta trinity national forest.

Ended Purchase Order Awarded Last action

Contract number
AG9AC7P150173
Awardee
Awarding agency
Obligated
$11,484

Award facts

Contract value 100% obligated
$11,483.68 Current and potential, with all options
Completion date 100% complete
Current and potential, with all options
Set-aside
No set-aside
Competition
Full and Open Competition after exclusion of sources · 1 offer Negotiated Proposal / Quote
Pricing
Firm Fixed Price
Place of performance
Redding, CA 96003, USA

Award details come from SAM.gov/FPDS.

Transactions

Action Obligated Date
Additional Work (new agreement, FAR part 6 applies) 1 $1,643
Original award $9,841

About this award

This contract was awarded by the U.S. Department of Agriculture's Forest Service to Peterson Tractor CO., a for-profit heavy equipment dealer, for $11,483.68 to provide fire dozer repairs and charge-back services for the Shasta-Trinity National Forest. The contract was a firm-fixed-price purchase order with a completion date of June 29, 2015. Peterson Tractor CO. has a history of providing similar equipment repair services to federal agencies like the Bureau of Land Management, National Park Service, and U.S. Coast Guard, leveraging its expertise as a Caterpillar equipment dealer. This award did not have a set-aside designation.

Quick answers

Who was awarded contract AG9AC7P150173?

AG9AC7P150173 was awarded to Peterson Tractor CO. by Region 5 - Pacific Southwest Region (Forest Service) on May 29, 2015.

How much is contract AG9AC7P150173 worth?

The government has obligated $11,484 on AG9AC7P150173.

Was contract AG9AC7P150173 competed?

The extent of competition for AG9AC7P150173 was full and open competition after exclusion of sources. The government received 1 offer.

On GovTribe

See this award's full record

  • Every transaction and funding action
  • The awardee's other awards and teaming partners
  • Similar awards and recompete opportunities
  • Ask GovTribe AI about this award