Supplier· Paraguay· Activity through Jul 2025

Fernando Escobar

PY-RUC-5157141-2

Between 2018 and 2025 in DNCP awards, Fernando Escobar appears as a supplier in 41 records from DNCP awards and DNCP tenders; in DNCP awards that is 24 unique processes. The observed amount totals 411M PYG. The leading buyer by amount, Universidad Nacional de Pilar (UNP), accounts for 90.7% of the PYG amount. In Nov 2023, the number of processes is unchanged from Oct 2023.

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Source records
41
Sources
2

Observed volume

24 processes

24 source rows in DNCP awards. Counts from other sources remain separate.

Latest activity

Jul 2025

1 record in the period.

Latest comparable change

No change

Oct 2023 → Nov 2023 · same value

Leading buyer by amount

Universidad Nacional de Pilar (UNP)

90.7% of observed PYG amount; top three 100%.

History

Historical series by source

4 independent series

Relationships

Top counterparties in the records

Ranked by shared record count, without adding different currencies.

Relationship concentration

Reliance on leading counterparties

Each currency is calculated separately. A high share may reflect specialization, scale, or source coverage and is not by itself evidence of misconduct.

Recent activity

Latest published records

Ordered by the most relevant award, publication, or event date in each source. An identical event published by multiple lifecycle sources is shown once and retains every source in the first column. This does not claim the activity happened today.

SourceAward datePublication dateTitleBuyerStatusAmountCurrency
DNCP awardsJul 28, 2025Jul 09, 2025ADQUISICION DE PRODUCTOS DE ARTES GRAFICASUniversidad Nacional de Pilar (UNP)publicado₲31,045,000PYG
DNCP awardsOct 30, 2024Oct 11, 2024Servicios de Fotocopiado en Blanco y NegroUniversidad Nacional de Pilar (UNP)publicado₲29,000,000PYG

Entity monitoring

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Coverage and provenance

Sources contributing to this profile

Headline activity and concentration use DNCP adjudicaciones; source histories are kept separate and are never added across datasets.

This profile consolidates source keys within one country and role only through exact identifiers or an unambiguous normalized legal name. Currencies and unit scales remain separate; similar names are not assumed to be the same organization.