FreeTender

Peru tender market report, September 2026

Published 22 Oct 2026 · computed by FreeTender from 85 notices

Notices published
85
+35% vs August 2026
Still open
30
at the time of this report
Median bid window
16 days
middle half: 10–27 days
With a stated value
3
4% of notices

Summary

In September 2026, FreeTender recorded 85 new procurement notices from buyers in Peru (+35% on August 2026). The largest sector was Financial & Professional Services with 20 notices (24% of the total). The fastest growing was Financial & Professional Services, up 100% to 20. Half of all notices gave bidders 16 days or less to respond. Tuesday was the busiest publishing day (25% of notices).

Notices by sector

Change is against August 2026.

How buyers tendered

  • Open tender37 notices
  • Contract award18 notices
  • Request for proposal14 notices
  • Request for quotation12 notices
  • Expression of interest3 notices
  • Grant / funding call1 notices

Publishing day

  • Monday16 notices
  • Tuesday21 notices
  • Wednesday21 notices
  • Thursday14 notices
  • Friday13 notices
  • Saturday0 notices
  • Sunday0 notices

Most active buyers in Peru

Stated values

3 of 85 notices stated an estimated value. Figures are in the currency the buyer used.

CurrencyPriced noticesMedianLargestTotal
USD3150 thousand200 thousand358 thousand

Largest notices of the month

  1. Update of the National Energy Policy to 2050 · USD 200 thousand · closed
  2. Design and execution of a national survey, in the urban and rural areas of Peru, on consumer protection · USD 150 thousand · closed
  3. Consulting service for the development of a main video and a high-impact summary video of the Biobusiness Program · USD 8,000 · closed

Other months

Method: counts are notices first published in the month, by the buyer's country, across all sources FreeTender reads. Bid window means days from publication to the deadline. Coverage grows as we add sources, so part of any rise can be new coverage rather than new demand. You may quote these figures with a link to this page. The underlying rows are in our open dataset.