Gilead Sciences Q3 adjusted EPS beats estimates on HIV growth; raises FY2026 sales outlook
Overview
Biopharmaceutical firm's Q3 product sales rose 13% yr/yr to $8.3 bln, led by HIV, Trodelvy and Livdelzi
Adjusted EPS for Q3 was $2.55, beating analyst expectations
Company repurchased $370 mln of common stock during the quarter
Outlook
Gilead raises 2026 product sales guidance to $31.0 bln-$31.3 bln from $30.1 bln-$30.4 bln
Company now expects FY2026 non-GAAP diluted loss per share of $0.85-$1.20, wider than its prior loss forecast of $0.30-$0.65
Gilead maintains 2026 Veklury sales outlook at ~$300 mln
Result Drivers
HIV SALES GROWTH - HIV product sales rose 18% yr/yr to $6.2 bln, driven by higher average realized price, increased demand for HIV prevention, and favorable inventory dynamics
TRODELVY AND LIVDELZI - Trodelvy sales rose 42% to $506 mln and Livdelzi sales increased to $203 mln from $105 mln on higher demand
VEKLURY DECLINE - Lower Veklury sales, down 69% yr/yr, partially offset overall growth due to reduced COVID-19 hospitalizations
Company press release:
Key Details
Metric | Beat/Miss | Actual | Consensus Estimate |
Q3 Product Sales | $8.29 bln | ||
Q3 Adjusted EPS | Beat | $2.55 | $2.19 (21 Analysts) |
Q3 EPS | $1.94 | ||
Q3 Net Income | $2.43 bln |
Analyst Coverage
The current average analyst rating on the shares is "buy" and the breakdown of recommendations is 25 "strong buy" or "buy", 5 "hold" and no "sell" or "strong sell"
The average consensus recommendation for the pharmaceuticals peer group is "buy"
Wall Street's median 12-month price target for Gilead Sciences, Inc. is $165.00, about 3.6% above its October 28 closing price of $159.20
The stock recently traded at 20 times the next 12-month earnings vs. a P/E of 29 three months ago
Reuters Recommended Reads
Oct 28 - Biogen Q3 revenue beats on Apellis acquisition, product demand
Oct 28 - Biogen tops quarterly estimates on rare-disease drug strength
Oct 29 - US drugmaker Eli Lilly beats Q3 revenue estimates on product demand, lifts FY outlook
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(This story was created using Reuters automation and AI based on LSEG and company data. It was checked and edited by a Reuters journalist prior to publication.)