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Consumer staples: sector news on Monday 9 November 2026

Average tone +0.9 (neutral) across 6 companies with relevant coverage, from 16 stories.

How to read a score. Each score rates how good or bad the news was for the company, from −10 (clearly bad) to +10 (clearly good). 0 is neutral, and anything beyond ±6 is strong and rare. It rates the coverage, not the share price.

Company by company

CompanyToneStoriesWhat the coverage was about
Diageo+6.25Coverage was mostly positive, centred on progress with the savings plan and Asahi disposal, strong growth for Guinness 0.0 in Ireland, and a new Johnnie Walker marketing partnership.
Associated British Foods+0.34Coverage was mixed: a weekly recap pointed to weaker profit and earnings expectations alongside higher Primark investment, while other pieces covered Primark's tagging technology and international rollout plans.
British American Tobacco−3.32Coverage was thin, with a regulatory threat to nicotine pouches in Kenya weighing on the tone.
Coca-Cola HBC+1.72Coverage was thin, centring on a weekly recap of quarterly sales growth and a Russia business update, which leans mildly positive.
Unilever0.02
Imperial Brands+0.51Coverage was limited to a single item noting where the shares were trading ahead of the company's results.
Coca-Cola Europacific Partners—0
Reckitt—0

Strongest stories in the sector

Consumer staples: every day · FTSE 100 overview for the day

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How it works. Every morning an AI model reads the UK business news about each FTSE 100 company and scores how good or bad it is for the company, from −10 to +10. Pages update by about 07:45 UK time.

Not investment advice. MarketFrame rates the tone of news coverage. It is general information, not a recommendation to buy or sell anything. The scores are not share-price data or forecasts: a good score doesn't mean a share will rise, and a bad one doesn't mean it will fall.

Data to 06:30 UTC, 13 November · 743 headlines · 86 companiesMade by Adapt Progress Evolve Limited, a UK company · Privacy · Terms · RSS · API · llms.txt