2016 Lexus IS 350
JTHCE1D20G5010491
This vehicle is no longer listed. The figures below describe the market for this build.
Market price range
Based on 8 comparable same-build listings · Market data as of September 1, 2026Price history for this VIN
Asking prices recorded across 3 listing dates for VIN JTHCE1D20G5010491, spanning 3 days.
Listings
Full listing history on VehiSales →No active listings of this exact VIN right now.
Former listings
| Dealer | Location | Price | Mileage | Listed |
|---|---|---|---|---|
| Reds Auto & Truck | Longmont, CO 80504 | $22,999 | 89,170 mi | 2026-02-27 |
Estimate the monthly payment at the typical market price ($21,493)
This vehicle is no longer listed, so the estimate starts from $21,493 — the typical market price for this build. Move the numbers to match your own loan.
Estimate only. Excludes tax, title, registration and dealer fees, and assumes a fixed-rate loan with equal monthly payments. Your actual rate depends on your credit and lender.
Decoded from the VIN
NHTSA build data for JTHCE1D20G5010491Full factory specs for this build →
- ✗ Backup camera
- ✗ Blind-spot monitor
- ✗ Lane departure
- ✗ ABS
- ✗ Electronic stability
Fuel economy (EPA)
Assumes 15,000 miles a year at $3.10/gallon and 22 MPG combined.
5-year cost to own
Beyond the sticker: what this 2016 Lexus IS likely costs over five years at 15,000 mi/yr.
Estimate — insurance and taxes vary by driver and state.
Model-level data for the 2016 Lexus IS from EPA fueleconomy.gov, refreshed August 31, 2026.
How it compares to rivals
Median asking price for comparable body styles listed near this car| Model | Median price | For sale nearby | vs this car |
|---|---|---|---|
| 2016 Lexus IS 350 (this car) | $21,493 | 8 | — |
| 2017 Honda Civic | $13,299 | 7 | −$8,194 |
| 2017 Hyundai Elantra | $7,445 | 6 | −$14,048 |
| 2017 Ford Fusion | $9,997 | 6 | −$11,496 |
| 2018 Toyota Corolla | $11,494 | 6 | −$9,999 |
| 2016 Volkswagen Passat | $7,495 | 5 | −$13,998 |
Cheapest active listings of each comparable body style in this region — median of what those models actually ask.