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
153
via finance.yahoo.comBusiness & Companies

Ester Industries: Q2 FY27 polyester films swing to positive EBIT

FROM THE WIRE · FINANCE.YAHOO.COM

This article first appeared on GuruFocus. Release Date: November 05, 2026 For the complete transcript of the earnings call, please refer to the full earnings call transcript. Positive Points Polyester films segment revenue grew 39.6% YoY to Rs 414.5 crore in Q2 FY27, with EBIT…

Read at the source ↗
MARKET IMPACTNEUTRAL✦ News Impact agent estimateTone: expected bullishThe return to profitability in films and the expected margins of the Elite JV project may support the stock.AI-generated summary
✦ IN BRIEF · AIAI-generated summary
  1. 01Polyester films segment revenue grew 39.6% YoY to Rs 414.5 crore in Q2 FY27.
  2. 02Segment EBIT turned positive at Rs 34.5 crore versus a loss last year.
  3. 03Ester FilmTech turned profitable with PAT of Rs 2.2 crore in Q2 FY27.
  4. 04Exports contributed 37% of revenue.
NEWS IMPACT AND MARKET REACTIONChange from the reference price
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.