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Capital Improvement Planning and Cost Estimating

Active

State & Local

Response Deadline09/17/2026, 07:00:00 PM UTC

Contract Overview

Solicitation details, issuing organization, response deadlines, documents, and interested companies for this government contract opportunity.

AI Contract Overview

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The City of Bentonville in Arkansas is seeking a subcontractor for Capital Improvement Planning and Cost Estimating. The primary objective of this engagement is to develop a prioritized 10-year capital plan that utilizes planning-level models to provide detailed cost estimates. These estimates must encompass various requirements, including facilities, renovations, land acquisition, design services, staffing, and necessary contingencies. This opportunity is categorized under NAICS code 541620. Interested parties must submit their responses by the deadline of September 17, 2026, at 7:00 PM. The solicitation was officially posted on August 2, 2026.

General Info

Bentonville seeks a subcontractor for 10-year capital planning and cost estimating by September 2026.

Agency

Arkansas → City of BentonvilleView Agency

NAICS

541620 - Environmental Consulting ServicesView NAICS

Place of Performance

AR, USA

Set-Aside

NONE

Documents

This scope was carved out of RFQ-2026-0002.

The full solicitation package (1 document), including the RFP, is on the prime solicitation, not on this scope.

View the prime solicitation

Bentonville Parks and Recreation 10 Year Master Plan

AI Contract Breakdown

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No contract breakdown available.

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Timeline

PostedAug 2

subcontract

Response DeadlineSep 17

Submission deadline

Response Deadline

09/17/2026, 07:00:00 PM UTCin about 1 month

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Organization & Contact Information

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AgencyArkansas → City of Bentonville

ContactsNo contacts available

OfficeN/A

Organization / Agency

Arkansas → City of Bentonville

View Agency Profile

Office AddressN/A

ContactsNo contact information available

Full Description

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Develop a 10-year prioritized capital plan with cost estimates for facilities, renovations, land, design, staffing, and contingencies using planning-level models.

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