Shimadzu · LC-2030 · Used market pricing intelligence
Median is the primary statistic — used clinical pricing is full of outliers and the median ignores them.
Asking prices are what sellers want. These are realized prices — what units actually changed hands for — tracked separately from asking and labeled by channel. We never blend the two into one number.
Clinical Asset Appraisal aggregates listing data from eBay, GovDeals, DOTmed, HiBid, LabX, and PublicSurplus daily. Each listing is classified by type (complete system, major module, part / accessory, for parts / repair). Medians and ranges are computed only within peer groups — a complete system is never averaged with parts. Confidence thresholds: comps ≥ 0.65; deal-feed device-match ≥ 0.75 and classification ≥ 0.65. Median is the primary statistic; the mean is shown only as a small secondary number because outliers dominate this market. Data is directional — always verify independently before purchase. Read full methodology →
We are paid to value equipment, never to trade it — no fee we earn moves with the number we report or with what your equipment later sells for.
Library figures are estimates based on recorded listing data. They are not appraisals and not guaranteed sale prices. A signed, dated, USPAP-conformant appraisal is a separate engagement. The library publishes 231,081 equipment price points across 9 marketplaces, with medians for 44 device classes. Refreshed every 24 hours. Every datapoint links back to its source.
Independent of, and not endorsed, sponsored, certified, or authorized by — and not an agent of — any marketplace, manufacturer, or source.
© 2026 V.O.S Supply Group LLC d/b/a Clinical Asset Appraisal. All rights reserved.
We're tracking this device but don't yet have observed complete-system listings to publish a firm price. The guide will populate as listings accrue.
Same modality, ranked by complete-system sample size.
Generic checklist for lab equipment — these are the items that drive the largest price variance.
Every answer is built from real observed data — no AI prose, no fabricated specs.