Get an extra £500
when you part-exchange.
4 used Ssangyong cars for sale
Prices from just £7798
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.
Our range of used Ssangyong models
Recently added Ssangyong cars
-
2016 (16) Ssangyong Tivoli 1.6 D ELX 5dr 4X4
- 89,020 miles
- Used
- 60.1 MPG*
Only £7798£249 Deposit + £189.56 Per month -
2019 (69) Ssangyong Korando 1.6 D Ultimate 4x4 5dr Auto
- 31,362 miles
- Used
- 44.1 MPG*
Only £19,498£249 Deposit + £356.33 Per month -
2019 (19) Ssangyong Korando 1.6 D Ultimate 4x4 5dr Auto
- 32,751 miles
- Used
- 44.1 MPG*
Only £19,998£249 Deposit + £378.56 Per month -
2021 (71) Ssangyong Tivoli 1.6 Ultimate 5dr
- 10,140 miles
- Used
- 38.2 MPG*
Only £17,998£249 Deposit + £318.78 Per month
What our customers say
For used Ssangyong cars, choose Arnold Clark
Arnold Clark offers the best used Ssangyong deals, guaranteed.
In fact, our used car deals and low-rate finance offers are so good that if you find a better deal elsewhere, we’ll give you back double the difference.
| Monthly Payment | £189.56 |
|---|---|
| Deposit | £249 |
| Term (Months) | 48 |
| Cash Price | £7798 |
| Credit Amount | £7549 |
| Completion Fee | £1 |
| Total Amount Payable | £9,348 |
| Fixed Interest Rate | 5.13% |
| Representative APR | 9.9% |
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.