Civic AI
Civic AI
Procurement intelligence
SAM.govN0038326RBB25
Open

Frame, Seat, Aircraft, in Repair/Modification of

Response deadline
Nov 9, 2026
Due in 47 days
Date posted
Sep 23, 2026

Description

NSN 7R-1680-016986032-H5, TDP VER 001, QTY 5 EA, DELIVERY FOB ORIGIN. This RFP is for Navy repair will be using limited source procedures. This requirement will be awarded to the offeror with the lowest price technically acceptable (LPTA) quote. The Small Business Administration representative at NAVSUP WSS has reviewed this requirement and determined that a set-aside recommendation was not applicable for this procurement. Quotes may be emailed to the below email address and must be received on or before on the closing date listed on page 1 of the solicitation. linda.vong2.civ@us.navy.mil. This contract/delivery order/purchase order/modification is issued by the Government when deposited in the mail, transmitted by facsimile or sent by any electronic commerce method, including email. The Government's acceptance of the contractor's proposal constitutes bilateral agreement to issue this contract/delivery order/purchase order/modification. This solicitation is for the repair of 5 units of National Stock Number (NSN) 7RH 1680 016986032 H5. Induction Period The induction period for the initial units in this order is 365 calendar days from the date of contract award. The Government reserves the right to extend this period by an additional 365 days, for a total of two years. Any unused induction slots from the initial year may be carried over into the second year. Pricing and Options The contractor shall propose option pricing for a maximum of 30 units over the entire contract period, inclusive of the initial quantity. If pricing will change after the first 365 days, please provide separate pricing for the second year. Contract Award The Government reserves the right to place the initial order for any number of units up to the specified maximum. For threshold purposes, the total contract value will be calculated by multiplying the highest proposed unit price by the maximum number of units.

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