6 used Škoda Fabia cars for sale near Preston
Prices from just £10,998
Search our stockUsed Škoda Fabia cars in stock near Preston
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2023 (23) Škoda Fabia 1.0 TSI 110 SE L 5dr
- 21,967 miles
- Used
- 61.4 MPG*
Only £16,498£249 Deposit + £291.81 Per month -
2022 (22) Škoda Fabia 1.0 TSI 110 SE L 5dr
- 14,127 miles
- Used
- 61.4 MPG*
Only £15,998£249 Deposit + £279.97 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) Škoda Fabia 1.0 TSI 116 SE L 5dr DSG
- 909 miles
- Nearly new
- Petrol
Only £19,998£249 Deposit + £344.54 Per month -
2022 (72) Škoda Fabia 1.0 TSI 110 Colour Edition 5dr
- 15,727 miles
- Used
- 61.4 MPG*
Only £16,698£249 Deposit + £298.55 Per month -
2022 (22) Škoda Fabia 1.0 TSI 110 Colour Edition 5dr DSG
- 16,011 miles
- Used
- 61.4 MPG*
Only £16,998£249 Deposit + £304.03 Per month -
2020 (20) Škoda Fabia 1.0 MPI Colour Edition 5dr
- 31,178 miles
- Used
- 58.9 MPG*
Only £10,998£249 Deposit + £207.56 Per month
Why choose Arnold Clark?
Our used Škoda models
What our customers say on Trustpilot
| Monthly Payment | £207.56 |
|---|---|
| Deposit | £249 |
| Term (Months) | 48 |
| Cash Price | £10998 |
| Credit Amount | £10749.0 |
| Completion Fee | £1 |
| Total Amount Payable | £14,190 |
| Fixed Interest Rate | 5.7% |
| Representative APR | 10.9% |
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.