Home · Jackets and coats · Bucktrout Tailoring

Pippa Waistcoat - Pink Check

Bucktrout Tailoring

£173

Our ladies waistcoats are the perfect layering piece. A feminine take on a mens staple they can be styled smart or casual, their versatility is key. Choose the Yorkshire Tweed Pippa Waistcoat for a more tailored fit, the full fabric style is complimented inside by attractive paisley lining. Yorkshire Tweed Waistcoat in Green Pink Check Tweed sourced from Yorkshire Mills Woven from pure wool Peak lapel Jetted pockets Gold paisley lining Modern Tailoring Information Outer Fabric – 100% Wool Lining- 50% Acetate/50% Viscose Dry clean only

Bucktrout Tailoring's own words, read from their page.

Buy from Bucktrout TailoringPrice seen 2026-09-04. Affiliate link.

Where this comes from

The part other shops don't tell you. Three separate questions, kept separate on purpose, each with its source.

UK company
Registered at Companies House as BUCKTROUT TAILORING LIMITED, number 09360333. Checked 2026-08-29.
Means the business is a British legal entity, not a British-sounding name owned elsewhere. It says nothing about where anything is made.
UK operations
Not yet checked.
Means people employed here, or premises they actually work from. We keep this separate from the company badge because a registered office can be an accountant's spare room, and a company can be registered in Britain while everything it does happens somewhere else. Where we have not looked, we say so rather than assuming.
British-owned
No majority shareholding traced outside the UK. Companies House.
Read from the register of people with significant control, following the chain of holding companies. It does not gate anything: a firm can be made here and owned elsewhere, and that is worth telling you rather than hiding.
Where it is made
The maker doesn't say, so neither do we.
This is about the individual product, not the company. A British firm can sell things made abroad, which is normal and not a criticism. We would rather tell you which is which than average them into a score.