Molo adds MUFB to it’s Buy-to-Let range, with rates starting from 5.19%

Molo adds MUFB to it’s Buy-to-Let range, with rates starting from 5.19%
Multi-Unit Freehold Block (MUFB) is for landlords purchasing or remortgaging freehold blocks with up to 6 units.
  News Highlights
  •  Molo launches Multi-Unit Freehold Block (MUFB) mortgages for landlords
  •  One mortgage for up to 6 units listed under one freehold title
  •  Molo’s MUFB rates start from 5.19% for five-year fixes on 65% and 75% LTV
  •  MUFB becomes part of Molo’s buy-to-let offering, in addition to existing products       including Holiday Lets, New Builds, HMO & Portfolio Landlords
  • All MUFB mortgages are eligible for Savings Booster
Tuesday, 18th April 2023: Molo Finance, the UK’s first fully digital mortgage lender, further expands its buy-to-let product suite by launching Multi-Unit Freehold Blocks (MUFB), designed to cater for properties with up to 6 units.
This move follows the recent launch of the lender’s Rapid Remortgage proposition and is in addition to its existing buy-to-let product range that includes Holiday Let, New Builds, HMO, and Portfolio Landlords.
Molo’s MUFB buy-to-let mortgages are available for independent landlords, with competitive rates of 5.19% fixed for five-years with a 3.5% fee on both 65% and 75% LTV options. Standard valuations and stress-testing apply. All MUFB mortgages are eligible
for Savings Booster, a linked overpayments account designed to help landlords reduce their monthly payments and minimise mortgage costs.
Francesca Carlesi, CEO and Co-Founder at Molo says
“Landlords continue to look for property investment options, including ways to save money and diversify their portfolio. Introducing MUFB to our product range allows investors to maximise their rental income across several properties. This, along with our range of
buy-to-let options and competitive rates, means landlords have even more choice when finding their next investment with Molo.”
For more information on Molo’s MUFB mortgages, please visit our website:
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