
Used Ford Fiesta cars for sale near Bolton
Prices from just £11,498
Search 6 carsUsed Ford Fiesta cars in stock near Bolton
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2023 (23) Ford Fiesta 1.0 EcoBoost Active 5dr
- 17,595 miles
- Used
- Petrol
Only £15,498£249 Deposit + £267.90 Per month -
2023 (23) Ford Fiesta 1.0 EcoBoost Active 5dr
- 14,201 miles
- Used
- Petrol
Only £15,498£249 Deposit + £263.37 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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2020 (70) Ford Fiesta 1.0 EcoBoost 125 Active X Edition 5dr
- 43,652 miles
- Used
- 65.7 MPG*
Only £11,998£249 Deposit + £221.93 Per month -
2021 (71) Ford Fiesta 1.0 EcoBoost Hybrid mHEV 125 Titanium X 5dr
- 3529 miles
- Used
- Petrol
Now £14,998Save £300£249 Deposit + £276.77 Per month -
2019 (19) Ford Fiesta 1.0 EcoBoost Titanium X 5dr
- 31,003 miles
- Used
- 58.9 MPG*
Only £11,498£249 Deposit + £236.12 Per month -
2022 (22) Ford Fiesta 1.0 EcoBoost Active 5dr
- 9940 miles
- Used
- Petrol
Only £14,998£249 Deposit + £253.50 Per month
Why choose Arnold Clark?
Used Ford cars available in Bolton
What our customers say on Trustpilot
Monthly Payment | £236.12 |
---|---|
Deposit | £249 |
Term (Months) | 60 |
Cash Price | £11498 |
Credit Amount | £11249 |
Completion Fee | £1 |
Total Amount Payable | £14,417 |
Fixed Interest Rate | 5.19% |
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.