
6 used Ford B-MAX cars for sale near Burton upon trent
Prices from just £6298
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.
Recently added used Ford B-MAX cars near Burton upon trent
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2017 (17) Ford B-MAX 1.0 EcoBoost Titanium Navigator 5dr
- 19,842 miles
- Used
- 55.4 MPG*
Only £9498£249 deposit + £174.09 per month -
2013 (13) Ford B-MAX 1.0 EcoBoost 120 Titanium 5dr
- 66,895 miles
- Used
- 57.7 MPG*
Only £5498 -
2017 (17) Ford B-MAX 1.6 Titanium Navigator 5dr Powershift
- 21,098 miles
- Used
- 44.1 MPG*
Only £9498£249 deposit + £190.14 per month -
2017 (17) Ford B-MAX 1.5 TDCi 95 Titanium Navigator 5dr
- 16,780 miles
- Used
- 74.3 MPG*
Only £9498£249 deposit + £172.02 per month -
2017 (17) Ford B-MAX 1.0 EcoBoost Zetec Navigator 5dr
- 4131 miles
- Used
- 55.4 MPG*
Only £9998£249 deposit + £184.04 per month -
2017 (17) Ford B-MAX 1.0 EcoBoost Zetec Navigator 5dr
- 8979 miles
- Used
- 55.4 MPG*
Only £9698£249 deposit + £177.85 per month
What our customers say
For used Ford B-MAX cars in Burton upon Trent, choose Arnold Clark
Arnold Clark offers the best used Ford B-MAX deals in Burton upon Trent, 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

Popular models
Monthly Payment | £174.09 |
---|---|
Deposit | £249 |
Term (Months) | 48 |
Cash Price | £9498 |
Credit Amount | £9249.0 |
Completion Fee | £1 |
Total Amount Payable | £11,693 |
Fixed Interest Rate | 4.6% |
Representative APR | 8.9% |
Arnold Clark Automobiles Limited is authorised and regulated by
the Financial Conduct Authority for general insurance and consumer
credit purposes.
Offer subject to status, terms and conditions. Click here for details including our panel of lenders.
* 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.