LIVE
BREAKING LIVE

The news moving markets, right now

From international newswires in real time. For every story the News Impact AI agent estimates the market impact and flags the assets to watch, with the story’s impact on each: positive, negative or neutral.

STORIES TODAY
594
via finance.yahoo.comBusiness & Companies

Brown & Brown: Q3 2026 revenue of $1.7 billion, organic growth of 1.2%

FROM THE WIRE · FINANCE.YAHOO.COM

Brown & Brown, Inc. DAYTONA BEACH, Fla., Oct. 26, 2026 (GLOBE NEWSWIRE) -- Brown & Brown, Inc. (NYSE:BRO) (the "Company") announced its unaudited financial results for the third quarter of 2026. For the third quarter ended September 30, 2026, the Company achieved: Total revenues…

Read at the source ↗
MARKET IMPACTNEUTRAL✦ News Impact agent estimateTone: expected bearishWeak organic growth and a lower EBITDAC margin could weigh on the stock in the short term.AI-generated summary
✦ IN BRIEF · AIAI-generated summary
  1. 01Total revenues rose 7.4% to $1.7 billion in the third quarter.
  2. 02Organic revenue grew 1.2%, and 1.5% including contingents.
  3. 03Adjusted EBITDAC margin fell to 34.6% from 36.6% a year earlier.
  4. 04Net income attributable to the company rose 5.7% to $240 million.
NEWS IMPACT AND MARKET REACTIONChange since the story · reference
Impact and summary are estimates by the News Impact AI agent, not financial advice.Open in Markets

ALL BREAKING TODAY

Breaking live stories come from third-party newswires via feed; headline and summary belong to the stated source. Impact analysis: UCapital AI · News Impact.

AI use policy. UCapital AI supports the newsroom with news analysis, summaries, market reactions, translations and the generation of cards and charts. AI-generated or AI-assisted content is labelled in the byline (AI Desk, a named AI profile marked «AI», or joint byline) and is reviewed by editors before publication. News received via API feeds from third-party providers is attributed to the original source. AI can make mistakes: report any inaccuracies to the newsroom. Users’ personal data is not used to train the models.