Live US Export Data by HS Code 870899 for US Exports to Portugal . Our US Export Bill of Lading Data and US Export Data by HS Code or country include HS code, date, B/L number, product description, loading and unloading ports, US importer/exporter name, quantity, etc.
Date |
HS Code |
Product Description |
Destination Country |
Unloading Port |
QTY. |
Unit |
Weight |
Exporter Name |
|---|---|---|---|---|---|---|---|---|
|
April 10, 2024 |
870899 |
SHIPPER S LOAD AND COUNT1X20STCONTAINER(S)PARTS FOR YAMAHA ALLTERRAIN VEHICLEPARTES PARA CUATRICICLOMARCA YAMAHANCM CODE : 8708.99.90TRANSITO DETALLADO A ZONAFRANCA LA PLATAYAMAHA MOTOR CO.,LTD.TAXID:00700258CONSOLIDATED CARGOSNOEEI 30.37(A)CN> ARGENTINA CUIT+30-69076400-4FW> 400 COLLEGE PARK GA 30337UNITED STATES |
PORTUGAL | CO CARTAGENA |
4 |
CASE |
1108.5 |
Exporter Name |
2024-04-10 00:00:00
SHIPPER S LOAD AND COUNT1X20STCONTAINER(S)PARTS FOR YAMAHA ALLTERRAIN VEHICLEPARTES PARA CUATRICICLOMARCA YAMAHANCM CODE : 8708.99.90TRANSITO DETALLADO A ZONAFRANCA LA PLATAYAMAHA MOTOR CO.,LTD.TAXID:00700258CONSOLIDATED CARGOSNOEEI 30.37(A)CN> ARGENTINA CUIT+30-69076400-4FW> 400 COLLEGE PARK GA 30337UNITED STATES
4
CASE
1108.5
It includes export date, product specifications, quantity, origin port in Portugal, destination port in US, detailed information about exporting companies, and more.
By studying this data, businesses can assess pricing trends, track trade volumes, identify major exporters, and understand the flow of goods under HS code 870899 entering US from Portugal.
HS Code 870899 covers a wide range of products. Analyzing exports under this code helps businesses understand market demand, supply patterns, and the competitiveness of exported products in US.
Yes. The data highlights both the origin ports in Portugal and the destination ports in US, providing deeper insights into trade flow patterns for products under HS code 870899.
Manufacturers, traders, market analysts, importers, and exporters use this data to understand bilateral trade dynamics, evaluate suppliers, and make informed, data-driven business decisions.
