Lyft, Inc. LYFT
At closeNov 10, 2026, 5:47 PM EST
After hours · Nov 10, 5:47 PM ET
- YTD
- -12.13%
- 1 year
- -28.25%
Discussion (334)
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$LYFT This company needs to utilize the tools they have and maximize profits by incorperating food delivery and maybe start thinking GLOBALLY. Why are we in Canada and US market only? Time to Wake up
$LYFT Current mgmt always talking about focusing on rideshare when there are so many companies making multi millions on food delivery like grubhub, foordash, ubereats etc
$LYFT Finally. Let’s shake this company ul and Maximize value for shareholders. Enough is enough. They should be delivery food like Yber eats. I mean cmon have some common fkn sense. You have the infrstructure just create the damn app already
Waiting for conference outcome
Its rising because Short posiyions are being cashed out
Don’t be surprised if it hit 20$ this week
Head & shoulders then back to 30$ this year
Lyft (NASDAQ:LYFT) could be an attractive acquisition target for Amazon (AMZN), helping the ecommerce giant ramp up its robotaxi business to better compete with Tesla (TSLA) and Alphabet’s (GOOG), (GOOGL) Waymo.
“Existing ride-hailing services are in for a period of disruption. Uber is one of those companies, and to give the company credit, it has been preparing for a future full of autonomous cabs. Uber’s chief competitor, Lyft, is in a far sorrier state, which makes it a ripe acquisition target, and I think Amazon will buy it,” said The Information’s Anita Ramaswamy.
While Lyft (NASDAQ:LYFT) would certainly benefit from a tie-up with Amazon (AMZN), what would Amazon (AMZN) gain, Ramaswamy asks.
Lyft’s ride-hailing network of 24M active riders would be “key” to help Amazon (AMZN) commercialize its own autonomous driving ambitions. And a Lyft-Zoox partnership (which Amazon acquired in 2020), would be an “immediate and credible” threat to Waymo (GOOG), (GOOGL), as well as increase the potential for Amazon (AMZN) to expand Zoox to a food-delivery service.
The accuracy of information technology news predictions varies widely, but generally falls within a moderate range, with most predictions achieving accuracy between 50% and 80% depending on the prediction's specificity
