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BUY TATA CONSUMER PRODUCTS LIMITED — Jefferies India

BUYTATA CONSUMER PRODUCTS LIMITED
TATA CONSUMER PRODUCTS share price target & all analyst calls

byJefferies IndiaHorizon: NA (inferred 1 year)27 Oct 2026via NDTV Profit (Live)

Entry₹969Inferred
Target₹1,250
Total upside +29.00%
Stop lossNot given
CMP₹1,000Just now
Active+3.20%+25.00%upside left 12 mo left
Follow Jefferies India for new calls(98% target hit, 55 closed calls)Get alertsWatch TATACONSUM for new buy/sell callsGet alertsSee 28 other Long-term calls on TATACONSUMSee 133 other Long-term picks this week

Not investment advice; past performance doesn't guarantee future results. · Public beta — data is auto-extracted and may contain errors.

AI Assessment

Automated market context for this BUY call — facts from public sources, machine-classified. Not investment advice.

As of 27 Oct, 5:04 pm IST
18 supporting4 neutral3 opposing
Supports the BUY call (18)

Tata Consumer Q2 Results: Net profit rises 16% YoY to Rs 470 crore, revenue up 14%

NewsEt-Markets·26 Oct · today

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Tata Consumer Products Q2 profit rises 18%, revenue rises 14% to ₹5,661 crore

NewsCnbc-Tv18·26 Oct · today

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2 advisors have active short-term BUY calls on this stock, with 1 issued in the last 14 days

Advisor consensus · adjacent horizon·27 Oct · today

15 other SEBI-registered advisors have active long-term BUY calls on this stock, with 6 issued in the last 14 days

Advisor consensus · same horizon·27 Oct · today

Tata Consumer Products Q2 Results: Net Profit, Revenue Beat Estimates; Margin Expands To 14%

NewsNdtv-Profit·26 Oct · yesterday

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Neutral / worth noting (4)

Tata consumer Q2 net profit up despite higher costs, weak tea demand

NewsEt-Markets·27 Oct · today

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TATA CONSUMER PRODUCTS LIMITED has submitted to the Exchange, the financial results for the period ended September 30, 2026.

NSE · Outcome of Board Meeting·26 Oct · yesterday

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Weighs against the BUY call (3)

Long-term trend bearish — 200-day average falling over the past quarter

Technicals · trend·26 Oct · yesterday

Factor classifications are AI-generated from exchange filings, verified news feeds and market data — they can be wrong or incomplete, and are not attributed to the issuing analyst. Verify every factor via its linked original before acting. This is not investment advice.

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