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BUY Divi's Laboratories Limited — Akshay Bhagwat, JM Financial

BUYDivi's Laboratories Limited
Divi's Laboratories share price target & all analyst calls

byAkshay Bhagwat, JM FinancialHorizon: NA (inferred Swing (≤2wk))22 Jul 2026via NDTV Profit (Live)

Entry₹7,392.5Inferred
Target₹7,527
Total upside +1.82% (call closed)
Stop loss₹7,197-2.64% risk
Exit₹7,19724 Jul 2026, 11:00 am
Stop-loss hit-2.64%
Follow Akshay Bhagwat for new calls(23% target hit, 114 closed calls)Get alertsWatch DIVISLAB for new buy/sell callsGet alertsSee 1 active Swing call on DIVISLABSee 147 active Swing 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.

Frozen at close · 24 Jul 2026
4 supporting5 neutral0 opposing
Supports the BUY call (4)

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

Advisor consensus · adjacent horizon·21 Jul · 2d ago

4 other SEBI-registered advisors have active swing BUY calls on this stock, all issued in the last 14 days

Advisor consensus · same horizon·16 Jul · 1w ago

1500% Dividend Bonanza! Pharma Stock In Spotlight After Mega Payout; Record Date Announced

NewsGoogle News·14 Jul · 1w ago

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Divi's Laboratories Recommends ₹30 Final Dividend for FY26

NewsGoogle News·13 Jul · 1w ago

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Neutral / worth noting (5)

Divis Labs Ex-Dividend Date July 24: What Investors Should Know

NewsGoogle News·23 Jul · today

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Divis Labs: ₹30 டிவிடெண்ட்! இந்த தேதியை தவறவிடாதீர்கள்!

NewsGoogle News·23 Jul · today

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Divis Labs Share Price: રોકાણકારો માટે મહત્વના સમાચાર! ₹30 ડિવિડન્ડ માટે Ex-Dividend Date જાહેર

NewsGoogle News·23 Jul · today

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Divis Laboratories reduces carbon footprint in FY 2025-26

NewsGoogle News·15 Jul · 1w ago

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Divis Laboratories fixes July 24 record date for ₹30 dividend

NewsGoogle News·15 Jul · 1w ago

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Weighs against the BUY call (0)

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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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