Components · OneUp
OneUp Components V2 Dropper
£172
Light, reliable dropper. Best for trail riding.
OneUp Dropper Post Specs, Weight & Compatibility
| Brand | OneUp |
|---|---|
| Component type | Dropper Post |
| Compatibility | 30.9/31.6mm, 120-240mm |
| Weight | 0.55 kg |
Where to buy
No current retailer offers for the OneUp Components V2 Dropper. Retailer prices and stock are added as they are verified.
Our Verdict: Rated 4.8/5
OneUp Components V2 Dropper is a dropper post from OneUp. Light, reliable dropper. Key strengths are adjustable travel, simple and cheap.
Specification summary: weight 0.55 kg, price £172, compatibility 30.9/31.6mm, 120-240mm. At £172 it is about 21 percent below the typical dropper post price in the database, and at 0.55 kg it is about 11 percent below the typical dropper post weight. A dropper's cartridge, actuation and seal quality decide how smoothly it extends and how long it keeps working between services.
Fitment and setup: Match the seat-tube inside diameter, measure how much insertion depth your frame allows and choose the longest travel that still fits. Keep the stanchion clean and service on schedule.
Verdict: OneUp Components V2 Dropper sits at the top of the rating range in this database with a 4.8 rating. It suits trail riding. Main caveat: needs maintenance.
How We Rate
How we rate
Every rating on Gear Matrix is published alongside the information it is based on, so you can judge the score for yourself rather than take it on trust.
Gear Matrix ratings are editorial assessments built from published manufacturer specifications and comparative specification data. They are not presented as the result of physical product testing. Where an article is based on a first look, a launch announcement or a press release, the article says so.
Weight-to-power on e-MTBs
Where a weight-to-power ratio is shown it is calculated from two manufacturer-declared figures: the bike’s weight in kilograms and the motor’s declared output. Both inputs are required before any ratio is displayed. We never estimate a missing value, and we never infer a figure from a different model in the range.
The full breakdown of rating criteria is being prepared and will be published on this page.