2 used Audi Q2 cars for sale near York
Prices from just £14,498
Search our stockRecently added used Audi Q2 cars near York
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2021 (70/21) Audi Q2 35 TFSI S Line 5dr
- 17,304 miles
- Used
- Petrol
Only £21,998£249 Deposit + £357.11 Per month -
2020 (70) Audi Q2 30 TDI Sport 5dr
- 68,540 miles
- Used
- 60.1 MPG*
Only £14,498£249 Deposit + £272.33 Per month
For used Audi Q2 cars in York, choose Arnold Clark
Looking for a great deal on a used Audi Q2 car in York?
Arnold Clark offers the best used Audi Q2 deals in York, guaranteed. And if you find a better used Audi Q2 deal elsewhere, we’ll give you back double the difference.
Whether you’re looking to finance a Audi Q2 in York or purchase one, we have a wide range of second-hand Audi Q2 cars available to buy online safely with Click & Collect and home delivery options available.
Search our stock of used Audi Q2 cars in York or find your nearest branch.
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 Audi models
What our customers say on Trustpilot
Monthly Payment | £272.33 |
---|---|
Deposit | £249 |
Term (Months) | 42 |
Cash Price | £14498 |
Credit Amount | £14249.0 |
Completion Fee | £1 |
Total Amount Payable | £18,429 |
Fixed Interest Rate | 5.6% |
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.