6 used Fiat 500C cars for sale near Wolverhampton
Prices from just £8998
Search our stockUsed Fiat 500C cars in stock near Wolverhampton
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2024 (74) Fiat 500C 1.0 Mild Hybrid Top 2dr
- 10 miles
- Nearly new
- Petrol
Only £15,498£259 Deposit + £259 Per month -
2022 (72) Fiat 500C 1.0 Mild Hybrid Dolcevita Plus 2dr
- 5653 miles
- Used
- Petrol
Only £13,498£249 Deposit + £248.98 Per month -
2020 (70) Fiat 500C 1.0 Mild Hybrid Lounge 2dr
- 20,659 miles
- Used
- Petrol
Only £10,498£249 Deposit + £197.66 Per month -
2022 (71/22) Fiat 500C 1.0 Mild Hybrid Hey Google 2dr
- 6418 miles
- Used
- Petrol
Only £12,998£249 Deposit + £273.34 Per month -
2019 (19) Fiat 500C 1.2 Lounge 2dr
- 43,600 miles
- Used
- 54.3 MPG*
Only £8998£249 Deposit + £187.58 Per month -
2019 (19) Fiat 500C 0.9 TwinAir Rock Star 2dr
- 25,118 miles
- Used
- Petrol
Only £9998£249 Deposit + £186.98 Per month
Why buy from Arnold Clark?
- 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.
- Contactless Click & Collect and home delivery now available.
Our used Fiat models
Our Fiat branches near Wolverhampton
What our customers say on Trustpilot
Monthly Payment | £187.58 |
---|---|
Deposit | £249 |
Term (Months) | 60 |
Cash Price | £8998 |
Credit Amount | £8749 |
Completion Fee | £1 |
Total Amount Payable | £11,504 |
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.