As part of its now live 2024 winter Discover sale, Samsung is offering some straight up $160 price drops on the flagship Galaxy Watch Ultra, but Amazon now has that beat. Starting down at $434.41 shipped, Amazon is offering up to $215 off the Ultra to mark the return of the all-time low on the Titanium Gray model. The Titanium Silver and White models aren’t quite as low, starting from $455, but they are still both undercutting the deals you’ll find direct from Samsung at $490 right now.
This is, of course, only if you’re looking for straight up cash deals and not trying to trade anything against the Ultra – Samsung is still offering up to $300 in instant trade credit on top of the $160 price drop right now.
The Samsung Galaxy Watch Ultra debuted earlier this year alongside the latest Galaxy Watch 7 modes, (also on sale below). It marks the first time the brand has offered a high-end model to go up against Apple’s Ultra wearable (albeit at a much lower price tag), delivering a rugged titanium build loaded with health and fitness tracking prowess powered by Galaxy AI – swim-ready, heart rate tracking, sleep quality scores, step counting, and a bevy of workout metrics, just for starters.
Everything you need to know about the Galaxy Watch Ultra awaits over at 9to5Google and you’ll find some holiday price drops on the new 7 series lineup below:
- Galaxy Watch 7 40mm from $239 (Reg. $300)
- Galaxy Watch 7 40mm LTE from $275 (Reg. $350)
- Galaxy Watch 7 44mm from $243 (Reg. $330)
- Galaxy Watch 7 44mm LTE from $305 (Reg. $380)
- Galaxy Watch Ultra from $434 (Reg. $650)
Galaxy Watch Ultra features:
Climb the highest peak; Bike the long way home; The durable titanium design is our toughest yet, able to stand up to the rigors of your workout, including rainy or dusty conditions — even ocean swimming. From Monday morning runs to Thursday night basketball — our longest-lasting Watch battery ever goes up to 100 hours on a single charge. Easily stay in touch using Smart Reply with Galaxy AI; It offers quick text reply suggestions based on the context of your conversation.
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