General Dynamics wins Peruvian Marine LAV contract
General Dynamics Land Systems-Canada will supply the Peruvian Ministry of Defence with new Light Armoured Vehicles (LAVs) under a contract signed through the Canadian Commercial Corporation of the Government of Canada. The $67 million contract was announced on 24 July.
The contract will see GDLS-Canada supply 32 personnel carrier variants of the LAV II family of vehicles with amphibious capability. They will be used by the Peruvian Marines.
Danny Deep, vice-president, General Dynamics Land Systems-Canada, said: ‘We are proud to have been selected by the Peruvian Marines to meet their armoured vehicle requirement and look forward to establishing a long-term relationship with this very important customer.’
A complete support package is also included in the contract. Deliveries are scheduled to begin mid-2015.
Related Equipment in Defence Insight
More from Land Warfare
-
![AUSA 2026: companies adapt munitions and missiles for greater effect at lower costs]()
AUSA 2026: companies adapt munitions and missiles for greater effect at lower costs
Rather than developing entirely new weapons, defence companies are looking to build on existing weapons and systems to deliver greater capability, control costs and accelerate fielding.
-
![With changing patterns in Middle Eastern procurement, is Europe missing out?]()
With changing patterns in Middle Eastern procurement, is Europe missing out?
Traditional suppliers are struggling to meet the Middle East’s armoured vehicle modernisation needs, creating opportunities for South Korean manufacturers and regional defence industries.
-
![AUSA 2026: CUAS market expands as suppliers target new threats and operational requirements]()
AUSA 2026: CUAS market expands as suppliers target new threats and operational requirements
New developments from MARSS, MyDefence, Mountain Horse Solutions and Rafael suggest that future counter-drone protection will increasingly depend on combining advanced detection, rapid interception and integrated defensive networks.
