Tarifflo/Companies/LEVAREJ COMERCIALIZADORA DESnapshot · Q1 2026 (Jan – Mar)

Importer profile· US

LEVAREJ COMERCIALIZADORA DE

LEVAREJ COMERCIALIZADORA DE supplier risk profile, Q1 2026 trade data and compliance.

Supplier score

63C

/ 100

Q1 shipments

Tier-1 suppliers

Source countries

Top country

Q1 2026 overview

What this importer's trade footprint looks like

LEVAREJ COMERCIALIZADORA DE recorded 60 shipments in Q1 2026 as a U.S.-based importer. The company's supplier and country data are not yet available in the current dataset, limiting visibility into sourcing concentration and geographic distribution. Product category information is also absent from this filing period.

Compliance

Sanctions watchlist & forced-labor exposure

Sanctions screen

No matches in 4.2M-record corpus

Trigram screen against OFAC SDN, BIS Entity List, UFLPA Entity List, SAM Exclusions, EU FSF, UK HMT, UN SC, and 25+ allied jurisdictions.

UFLPA forced-labor proximity

No suppliers in proximity to documented sites

Distance-screened against all 380 facilities in the ASPI Xinjiang Data Project. Proximity score: 100 / 100.

No sanctions watchlist matches were detected for LEVAREJ COMERCIALIZADORA DE in Q1 2026. No suppliers in the network showed forced labor exposure under UFLPA criteria.

Risk score

Composite breakdown · 63 / 100

Activity

Diversification

Stability

Recency

Forwarder-clean

100

HS consistency

100

Forced-labor proximity

100

Sanctions clean

100

Tier 1

Top suppliers

0 distinct tier-1 suppliers in Q1 2026

Geography

Country mix

Share of Q1 2026 inbound shipments by source country

Locked

Tier 2 / Tier 3 supplier graph

0 tier-2 + 0 tier-3 nodes mapped - sign up to see them.

Tier-2 supplier #1 · CN

Tier-3 supplier #2 · CN

Tier-2 supplier #3 · CN

Tier-3 supplier #4 · CN

Tier-2 supplier #5 · CN

Tier-3 supplier #6 · CN

Tier-2 supplier #7 · CN

Tier-3 supplier #8 · CN

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Methodology. Snapshot built from US Customs AMS import and export bill-of-lading records arrived between Q1 2026 (Jan – Mar). Supplier risk score is a composite of activity, diversification, stability, recency, forwarder-cleanness, HS consistency, sanctions screen, and forced-labor proximity. Sanctions screen runs trigram similarity against the OpenSanctions FTM corpus (4.2M+ records, 32,982 sanctioned entities, 91,894 names + aliases). Forced-labor proximity is a haversine distance from each CN supplier's resolved coordinate to the nearest of 380 documented facilities in the ASPI Xinjiang Data Project. This page shows the Q1 2026 (Jan – Mar) snapshot only - sign up for live updates.

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