
Used Citroën Grand C4 Spacetourer cars for sale near Fife
Prices from just £14,498
Search 7 carsUsed Citroën Grand C4 Spacetourer cars in stock near Fife
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2019 (19) Citroën Grand C4 Spacetourer 1.5 BlueHDi 130 Flair 5dr
- 40,763 miles
- Used
- 68.9 MPG*
Only £14,498£249 Deposit + £299.09 Per month -
2019 (69) Citroën Grand C4 Spacetourer 1.5 BlueHDi 130 Feel Plus 5dr EAT8
- 23,620 miles
- Used
- Diesel
Only £16,498£249 Deposit + £329.73 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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2022 (22) Citroën Grand C4 Spacetourer 1.5 BlueHDi 130 Shine 5dr
- 27,900 miles
- Used
- Diesel
Only £18,498£249 Deposit + £338.30 Per month -
2020 (20) Citroën Grand C4 Spacetourer 1.5 BlueHDi 130 Feel Plus 5dr
- 38,405 miles
- Used
- Diesel
Only £14,998£249 Deposit + £304.92 Per month -
2022 (71/22) Citroën Grand C4 Spacetourer 1.5 BlueHDi 130 Shine 5dr EAT8
- 33,182 miles
- Used
- Diesel
Only £18,998£249 Deposit + £345.73 Per month
Why choose Arnold Clark?
Used Citroën cars available in Fife
Our Citroën branches near Fife
What our customers say on Trustpilot
Monthly Payment | £299.09 |
---|---|
Deposit | £249 |
Term (Months) | 60 |
Cash Price | £14498 |
Credit Amount | £14249 |
Completion Fee | £1 |
Total Amount Payable | £18,195 |
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.