
1 used Hyundai Santa Fe car for sale near Manchester
Prices from just £21,498
Why choose 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.
Recently added used Hyundai Santa Fe cars near Manchester
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2016 (66) Hyundai Santa Fe 2.2 CRDi Blue Drive Premium 5dr Auto [7 Seats]
- 34,139 miles
- Used
- 42.8 MPG*
Only £21,498£249 Deposit + £417.68 Per month
What our customers say
For used Hyundai Santa Fe cars in Manchester, choose Arnold Clark
Looking for a great deal on a used Hyundai Santa Fe car in Manchester?
Arnold Clark offers the best used Hyundai Santa Fe deals in Manchester, guaranteed. And if you find a better used Hyundai Santa Fe deal elsewhere, we’ll give you back double the difference.
Whether you’re looking to finance a Hyundai Santa Fe in Manchester or purchase one, we have a wide range of second-hand Hyundai Santa Fe cars available to buy online safely with Click & Collect and home delivery options available.
Search our stock of used Hyundai Santa Fe cars in Manchester or find your nearest branch.
Popular models
Monthly Payment | £417.68 |
---|---|
Deposit | £249 |
Term (Months) | 60 |
Cash Price | £21498 |
Credit Amount | £21249 |
Completion Fee | £1 |
Total Amount Payable | £25,310 |
Fixed Interest Rate | 3.59% |
Representative APR | 6.9% |
Arnold Clark Automobiles Limited is authorised and regulated by the Financial Conduct Authority 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 typically 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.