2016 Lexus LS
JTHCL5EF2G5026044
This vehicle is no longer listed. The figures below describe the market for this build.
Last listed by AlphaCars & Motorcycles
This VIN is no longer listed by this dealer. They may still have a similar vehicle — ask.
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2016 Lexus LS
VIN JTHCL5EF2G5026044
Market price range
Based on 21 comparable same-build listings · Market data as of September 11, 2026Love this car? See what else is out there.
2016 Lexus LS for sale near North HamptonNH
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50 miles around North Hampton
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Price history for this VIN
Price increased $2,996 (+10.7%) over 1 day.
Asking prices recorded across 2 listing dates for VIN JTHCL5EF2G5026044, spanning 1 day.
Listings
Full listing history on VehiSales →No active listings of this exact VIN right now.
Former listings
| Dealer | Location | Price | Mileage | Listed | Seen |
|---|---|---|---|---|---|
| AlphaCars & Motorcycles | North Hampton, NH 3862 | $30,995 | 53,920 mi | 2025-01-29 | 466 d ago |
| — | $27,999 | 53,804 mi | 2025-01-28 | 568 d ago |
Decoded from the VIN
NHTSA build data for JTHCL5EF2G5026044Full 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 19 MPG combined.
5-year cost to own
Beyond the sticker: what this 2016 Lexus LS 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 LS 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 LS (this car) | $24,672 | 21 | — |
| 2018 Honda Accord | $15,995 | 9 | −$8,677 |
| 2015 Nissan Altima | $10,908 | 8 | −$13,764 |
| 2018 Toyota Camry | $14,922 | 8 | −$9,750 |
| 2017 Hyundai Elantra | $9,995 | 7 | −$14,677 |
| 2016 Nissan Sentra | $6,495 | 5 | −$18,177 |
Cheapest active listings of each comparable body style in this region — median of what those models actually ask.
