SN1 3AY - 8 bed high yield hmo investment in Victoria Road, SN1 3AY

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8 bedroom house of multiple occupation for sale in Victoria Road, Swindon, Wiltshire, SN1

Summary - 44 VICTORIA ROAD SWINDON SN1 3AY

8 bed 8 bath House of Multiple Occupation

Turnkey income with strong occupancy and scope for rental uplift.
- Gross income £70,560 per year, gross yield 10.85%
- 7 en-suite HMO rooms plus 1 self-contained flat
- 100% occupancy in last 12 months; long-term tenants
- Licensed for 12 occupants; option to rent larger rooms to couples
- Renovated and extended in 2018; well maintained throughout
- Off-street parking for two cars and two parking permits
- Located in a deprived area with higher local crime rate
- Solid brick walls assumed uninsulated; glazing pre-2002
A well-presented HMO investment in Swindon’s Old Town, this end-terrace property combines reliable income with clear re-letting appeal. The building comprises seven en-suite HMO rooms plus a self-contained one-bedroom flat across four floors, generating a gross income of £70,560 pa and a gross yield of 10.85% at the asking price.

The house was extensively renovated and extended in 2018 and is described as well maintained, supporting long-term tenant retention and minimal voids—100% occupancy over the past 12 months. Practical benefits include mains gas central heating, double glazing (installed before 2002), off-street parking for two cars and two parking permits.

Investors should note material considerations: the property sits in a deprived area with a higher local crime rate, and external walls are solid brick with assumed lack of cavity insulation (upgrade potential and costs). Some glazing predates 2002. The HMO is licensed for 12 people, offering flexibility to increase rents by letting larger rooms to couples, but any refurbishment or energy-efficiency works will affect short-term cashflow.

The sale is freehold and includes a buyer’s fee of 1.5% inc. VAT. Full financial breakdowns of expenditure and rents are available on request for serious buyers who want to model net returns and refurbishment scenarios.

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