Residual

The Salvage Price Index — Motorcycles

Measured medians of realized US salvage-auction sale prices for motorcycle lots — what they actually sold for, not estimates. 1,487 realized sales, 2026-06-08 through 2026-06-22. Regenerated weekly from the same pipeline behind our published model accuracy. Related: all vehicles · Commercial Trucks.

2026-07-10T17:42:13.402004 image/svg+xml Matplotlib v3.9.4, https://matplotlib.org/

Weekly medians across all vehicle lots with a recorded sale outcome. Series begins 2026-06-08 (start of full-coverage collection); the window extends automatically each week. Medians are unadjusted for lot mix.

By damage type

Primary damageMediann
front end$1,950527
side$2,500347
all over$1,500144
rear end$2,15083
rollover$3,60057
minor dent/scratches$1,65055

By title brand

Title groupMediann
SALVAGE TITLE$2,100745
BILLOFSALE$2,150592
CLEAN TITLE$1,25059

By auction house

SourceMediann
Copart$1,950895
Iaai$2,150592

By state (top volume)

StateMediann
CA$1,975212
FL$2,150122

By make (top volume)

MakeMediann
Harley-Davidson$2,550329
Kawasaki$1,350245
Yamaha$1,550179
Harley Davidson$2,300145
Honda$1,100116

Segment cells require at least 50 sales. All figures are medians of realized hammer prices; segment medians reflect the mix of vehicles in that segment (a low median in a damage category can mean cheaper cars, not just deeper damage).

The monthly digest.

One email a month: the updated index, notable segment moves, and new measured statistics from the pipeline. No marketing filler.

Method, briefly

Residual continuously collects realized sale outcomes from the major US salvage auction platforms — the prices vehicles actually hammered for, not asking prices or estimates. This page reports medians of those realized prices, grouped by week and segment, with the sample size beside every number. The raw underlying listings are not republished. Data is also available programmatically as JSON (methodology v1.1; previously published values are never silently restated — revisions are disclosed above and dated snapshots of every published series are archived).

The same realized-price pipeline trains and evaluates our valuation model — see how we measure accuracy or the API documentation.