Victoria's Secret Q2 profit beats on stronger regular-price selling

Victoria's Secret & Co.

03/09/2026 12:09

Overview
U.S. lingerie retailer's Q2 net sales rose 10%, slightly missing analyst expectations
Adjusted EPS for Q2 beat analyst expectations
Company raised full-year 2026 net sales and adjusted operating income guidance

Outlook
Victoria's Secret raises 2026 net sales forecast to $7.1 bln-$7.18 bln from $7.03 bln-$7.13 bln
Company lifts 2026 adjusted operating income outlook to $560 mln-$590 mln from $550 mln-$580 mln
Victoria's Secret expects Q3 net sales of $1.57 bln-$1.6 bln and operating income of $10 mln-$20 mln

Result Drivers
REGULAR-PRICE SELLING - Co said stronger regular-price selling contributed to improved results
MARKETING INVESTMENTS - Co said increased strategic marketing investment is expanding reach and deepening customer connection
INTERNATIONAL GROWTH - Co reported international sales rose 20% year-over-year in Q2

Company press release: ID:nGNX76Jg4V

Key Details
Metric
Beat/Miss
Actual
Consensus Estimate
Q2 Sales
Slight Miss*
$1.61 bln
$1.62 bln (10 Analysts)
Q2 Adjusted EPS
Beat
$0.95
$0.77 (11 Analysts)
*Applies to a deviation of less than 1%; not applicable for per-share numbers.

Analyst Coverage
The current average analyst rating on the shares is "buy" and the breakdown of recommendations is 7 "strong buy" or "buy", 5 "hold" and no "sell" or "strong sell"
The average consensus recommendation for the apparel & accessories retailers peer group is "buy"
Wall Street's median 12-month price target for Victoria's Secret & Co. is $92.50, about 9.1% above its September 2 closing price of $84.81
The stock recently traded at 16 times the next 12-month earnings vs. a P/E of 15 three months ago

Reuters Recommended Reads
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Sept 2 - G-III Apparel Q2 profit beats estimates on margin expansion

For questions concerning the data in this report, contact Estimates.Support@lseg.com. For any other questions or feedback, contact reuters.support@thomsonreuters.com.

(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.)