2014 Lexus IS
JTHBF1D25E5009262
This vehicle is no longer listed. The figures below describe the market for this build.
Market price range
Based on 118 comparable same-build listings · Market data as of September 2, 2026Price history for this VIN
Asking prices recorded across 2 listing dates for VIN JTHBF1D25E5009262, spanning 41 days.
Listings
Full listing history on VehiSales →No active listings of this exact VIN right now.
Former listings
| Dealer | Location | Price | Mileage | Listed |
|---|---|---|---|---|
| Bay Area Car Sales | San Jose, CA 95126 | $21,988 | 64,622 mi | 2021-03-02 |
Estimate the monthly payment at the typical market price ($14,975)
This vehicle is no longer listed, so the estimate starts from $14,975 — 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 JTHBF1D25E5009262Full 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 24 MPG combined.
5-year cost to own
Beyond the sticker: what this 2014 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 2014 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 |
|---|---|---|---|
| 2014 Lexus IS (this car) | $14,975 | 118 | — |
| 2016 Honda Civic | $12,495 | 19 | −$2,480 |
| 2016 Toyota Corolla | $14,023 | 11 | −$952 |
| 2013 Toyota Camry | $14,888 | 11 | −$87 |
| 2013 Honda Accord | $13,020 | 10 | −$1,955 |
| 2016 Mercedes-Benz C-Class | $11,872 | 8 | −$3,103 |
Cheapest active listings of each comparable body style in this region — median of what those models actually ask.