macro

Cantor Fitzgerald keeps Overweight on VinFast and Tesla with $4 and $485 targets

Cantor Fitzgerald kept its Overweight rating on VinFast with a $4 target and reiterated Tesla at $485, according to TradingView citing Benzinga data.

the public page opens no earlier than 15 minutes after we detect the story. approved stories may reach the api sooner. connect the api →

what happened

Cantor Fitzgerald retained its Overweight rating on VinFast Auto shares and reiterated the same rating on Tesla, TradingView reports, citing Benzinga data. The $4.00 target for VinFast implies a 37.9% upside from the October 19 close of $2.90.

For Tesla, the target is $485.00, implying 31.8% upside from the October 19 close of $368.06. The analyst note points to global vehicle deliveries of nearly 1.64 million in 2025 and a rise in Full Self-Driving subscribers to 1.48 million.

In both cases the analysts highlight strong positioning in the electric vehicle sector, VinFast's partnership with NVIDIA on autonomous driving technology, and Tesla's expanding services, including its Robotaxi rollout.

why it matters

Rating updates like these are routine and rarely change the outlook for the wider sector. For EV investors, overall demand trends and company earnings matter more. This material is informational and does not constitute investment advice.

market impact

VinFast and Tesla shares: the analyst view supports sentiment across the electric vehicle sector

tags

instruments

VinFast AutoTeslaEV sector

sources

  1. Cantor Fitzgerald maintains Overweight rating on VinFast Auto, $4 price target — TradingView, 20 October 2026 at 10:55 UTC
  2. Cantor Fitzgerald reiterates Overweight rating on Tesla, $485 price target — TradingView, 20 October 2026 at 10:53 UTC
  3. VinFast Auto Is Maintained at Overweight by Cantor Fitzgerald — Dow Jones Newswires, 20 October 2026 at 11:05 UTC

prepared by the newsmetry newsroom with ai assistance from the sources listed below. not investment advice.

the public page opens no earlier than 15 minutes after we detect the story. approved stories may reach the api sooner.

get stories in real time ↗