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Morgan Stanley reiterates Overweight on Eli Lilly stock, $1,313 target

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Morgan Stanley reiterates Overweight on Eli Lilly stock, $1,313 target

Morgan Stanley reiterated Overweight on Eli Lilly with a $1,313 price target (market cap $803B) and sees ~6% upside to 2026 estimates; Jefferies and Leerink also reiterated $1,300 and $1,296 targets respectively, while the stock trades around $897 vs an InvestingPro fair value of $1,013. Prescription trends show Mounjaro at ~729,600 total and 359,900 new scripts (week of Mar 20) vs ~752,000/370,400 the prior week; Zepbound roughly stable at ~608,600/326,400; oral Wegovy reached ~94,700 total and 86,400 new prescriptions in its 11th week. Clinical and fundamentals are supportive: Eli Lilly reported ~45% revenue growth LTM and a PEG of 0.41, ADlong Phase 3b Ebglyss data showed 94% achieved 75% reduction and 75% achieved 90% improvement (up to four years), and retatrutide 12 mg cut A1c by 1.9% vs 0.8% placebo over 40 weeks — overall bullish for LLY with potential single-digit upside implied by analysts.

Analysis

Oral GLP-style therapies are reshaping the addressable market by lowering the friction to start treatment — the main second-order effect is not just share shifts between incumbents but a larger cohort of chronic users (primary care starts, telehealth-origin patients) who were previously non-starters for injectables. That amplitude expansion favors firms that control both product mix and distribution/real-world data flows because lifetime revenue per patient will be driven as much by adherence and switch rates as by headline efficacy. Competitive dynamics will bifurcate winners: manufacturers with scalable small-molecule oral supply chains and strong payer contracting teams will capture rapid share gains, while biologics-heavy players retain pricing power where injectables face capacity-constrained economics. Data integrators and analytics providers that remove channel blind spots (telehealth, cash-pay) will see outsized commercial value — imperfect visibility today creates trading volatility on headline weekly scripts that will settle as integrations complete. Primary near-term risks are payer pushback on list/pricing and noisy prescription data that can create false signals for investor positioning; both can flip sentiment inside a single quarter. Over 6–24 months, regulatory safety reads from next-gen molecules and evidence on real-world persistence will be the decisive catalysts that either compress multiples or justify premium growth assumptions. Given the landscape, the convexity lies in option-backed exposure to the better-positioned manufacturers plus selective exposure to data/outsourcing vendors that monetize measurement. Trades should size for outcome risk, use pairs to neutralize macro beta, and explicitly budget for a potential rapid repricing if payers or regulators step in.