
Used Hyundai i20 cars for sale near Preston
Prices from just £15,498
Search 8 carsUsed Hyundai i20 cars in stock near Preston
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2024 (24) Hyundai i20 1.0T GDi Advance 5dr
- 9599 miles
- Used
- Petrol
Only £16,498£279 Deposit + £279 Per month -
2024 (24) Hyundai i20 1.0T GDi Advance 5dr
- 9372 miles
- Nearly new
- Petrol
Only £16,498Save £5632 on cost new today£279 Deposit + £279 Per month - We offer the UK's best used car deals, guaranteed.
- Reserve your car online for a deposit of just £99.
- No hidden fees - the price you see is the price you pay.
- Click & Collect and home delivery now available.
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2024 (24) Hyundai i20 1.0T GDi Advance 5dr
- 5452 miles
- Used
- Petrol
Only £16,498£279 Deposit + £279 Per month -
2024 (24) Hyundai i20 1.0T GDi 48V MHD 120 N Line 5dr
- 14,639 miles
- Nearly new
- Petrol
Only £17,298£249 Deposit + £294.35 Per month -
2024 (24) Hyundai i20 1.0T GDi Advance 5dr
- 8903 miles
- Nearly new
- Petrol
Only £16,498Save £5632 on cost new today£279 Deposit + £279 Per month -
2024 (73/24) Hyundai i20 1.0T GDi Advance 5dr
- 14,046 miles
- Used
- Petrol
Only £15,498£249 Deposit + £263.01 Per month
Why choose Arnold Clark?
Used Hyundai cars available in Preston
What our customers say on Trustpilot
Monthly Payment | £263.01 |
---|---|
Deposit | £249 |
Term (Months) | 48 |
Cash Price | £15498 |
Credit Amount | £15249.0 |
Completion Fee | £1 |
Total Amount Payable | £19,842 |
Fixed Interest Rate | 5.1% |
Representative APR | 9.9% |
Arnold Clark Automobiles Limited is authorised and regulated by the Financial Conduct Authority (308092) for general insurance and consumer credit purposes. We act as a credit broker sourcing credit to assist with your purchase from a carefully selected panel of lenders. Lenders will pay us a fee for these introductions (click here for details including our panel of lenders and disclosure statement). Offers subject to status, terms and conditions.
* MPG figures are obtained in laboratory testing and intended for comparisons between vehicles. Please be aware they’re not intended to represent real world efficiency.