FreeTender

El Salvador tender market report, September 2026

Published 22 Oct 2026 · computed by FreeTender from 30 notices

Notices published
30
-9% vs August 2026
Still open
15
at the time of this report
Median bid window
17 days
middle half: 14–27 days
With a stated value
1
3% of notices

Summary

In September 2026, FreeTender recorded 30 new procurement notices from buyers in El Salvador (-9% on August 2026). The largest sector was Financial & Professional Services with 13 notices (43% of the total). Half of all notices gave bidders 17 days or less to respond. Friday was the busiest publishing day (30% of notices).

Notices by sector

Change is against August 2026.

How buyers tendered

  • Contract award12 notices
  • Expression of interest6 notices
  • Request for proposal6 notices
  • Open tender5 notices
  • Request for quotation1 notices

Publishing day

  • Monday6 notices
  • Tuesday3 notices
  • Wednesday8 notices
  • Thursday4 notices
  • Friday9 notices
  • Saturday0 notices
  • Sunday0 notices

Most active buyers in El Salvador

  • UNDP6 notices
  • Ministry of Education3 notices
  • Ministry of Public Works and Transport2 notices
  • UNFPA1 notices
  • FAO1 notices
  • Ministry of Health1 notices
  • United Nations Procurement Division1 notices
  • LaGeo, S.A. DE C.V.1 notices
  • STATE, DEPARTMENT OF · STATE, DEPARTMENT OF · U.S. EMBASSY SAN SALVADOR1 notices

Stated values

1 of 30 notices stated an estimated value. Figures are in the currency the buyer used.

CurrencyPriced noticesMedianLargestTotal
USD1840 thousand840 thousand840 thousand

Largest notices of the month

  1. Acquisition of automated pathology equipment for MINSAL care center · USD 840 thousand · closes 27 Nov 2026

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.