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Canada Edition

MKT · CA

MEDIAN $2,799 CAD · 474 OFFERS · 52 CUTS ≥20% · DEEPEST −47% · 298 MODELS · 30 BRANDS · SNAPSHOT 07·14

Biktrix Juggernaut Ultra FS Pro 3 MTB
Biktrix product photography

Biktrix

Juggernaut Ultra FS Pro 3 MTB

Mountain mid Value 71/100
$4,999 CAD $5,999 −17%
Best offer · Biktrix seen Jul 14, 2026 View offer

Get ready to elevate your off-road adventures to new heights with the FS Pro 3 MTB—an eBike engineered for epic performance and unmatched maneuverability.

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Designed with a full suspension frame, powerful Mid-drive Ultra motor, and a specially designed MTB+ wheelset, this eBike is your ticket to conquering any terrain with ease.

Retailer's own copy, quoted as published.

Source: biktrix.com · confidence: low · brand page

Specifications — as published

Motor
1000 W mid
Battery
884 Wh · 52 V
Max payload
120 kg

Only fields published by the brand are shown — nothing is estimated.

Where it stands legally · Canada

Power or cutoff isn't published for this model, so we can't call its class. Provincial rules.

Offers — Canadian (CAD)

  • Biktrix $5,999 −17% $4,999 CAD Offer

Prices are read nightly from retailer storefronts; markdowns are the retailer's own list-vs-current price. This is the Canadian edition — see the US price.

Performance Overview

MotorBatteryPayload
Juggernaut Ultra FS Pro 3 MTBMountain median

Strengths

  • Motor power53%

    1000 W vs 652 W avg

  • Battery capacity21%

    884 Wh vs 728 Wh avg

Weaknesses

  • Max payload29%

    120 kg vs 169.8 kg avg

Percentiles and averages are computed at build time from published specs of mountain models in the index — no spec is estimated. Categories with sparse data show fewer axes.

The verdict — computed, not opined

The most motor of any mountain at or under $4,999 CAD.
  • Value Score 71/100 — ranked 16 of 29 CAD-priced mountain models
  • Price rank 25 of 42 mountain models priced in CAD
  • −$1,000 CAD (−17%) vs its compare-at price at Biktrix
  • Also sold in the United States edition — see the US price.

Every line above is derived from catalog data at build time — how scoring works.