Tariffs Spark Record-Breaking Import Volume at West Coast Ports
West Coast ports shatter records in a tariff-fueled rush - importers frontload cargo ahead of Trump’s aggressive trade threats, distorting shipping flows into 2025.
The PORT OF VALENCIA has posted promising container throughput in 2025, despite broader cargo challenges—a sign of its deepening multimodal strength and strategic positioning in the Mediterranean.
Between January and July, Valencia handled 3.26 million TEUs, marking a 4.3% year-on-year increase. July proved particularly strong, with container volumes rising 6.9% to 492,874 TEUs compared to July 2024. Over the past 12 months, the port tallied 5.6 million TEUs, delivering an 8.4% annual gain according to the Port Authority of Valencia.
While containers surged, total cargo tonnage registered a 1.1% year-on-year decline, reaching 47.75 million tonnes. This dip was largely driven by a more than 10% drop in solid bulk traffic, highlighting the port’s reliance on non-container segments that are currently under pressure.
Strong container numbers were supported by notable growth in other segments. Rail freight volumes surged 12% in the first half of 2025, moving 1.22 million tonnes, equivalent to 131,795 TEUs, reinforcing the port’s intermodal strength.
Roll-on/Roll-off (Ro-Ro) tonnage also contributed, underpinning Valencia’s diversified cargo mix. Export containers climbed 3.5%, while imports skyrocketed 17.5%. Transshipment, however, slid 2.2%, suggesting shippers are favoring direct port calls over hub routing.
Valencia's performance underscores its competitiveness as Spain’s and the Mediterranean’s leading container gateway. Favorable export-import dynamics and a nimbly expanding rail corridor provide insulation from weak bulk volumes and reinforce Valencia’s strategic role in regional and intercontinental trade lanes.
With over 40 berths, nearly 600 hectares of terminal capacity, and connectivity to more than 1,000 ports across five continents, the port remains a critical node in global liner networks