Capri Holdings Q3 revenue beats estimates

Capri Holdings

03/02/2026 11:53

Overview

Global fashion luxury group's Q3 revenue fell 4% but beat analyst expectations

Adjusted EPS for Q3 beat analyst expectations

Company reduced net debt to $80 mln after Versace sale

Outlook

Capri Holdings expects fiscal year 2026 revenue of $3.45 bln to $3.475 bln

Capri Holdings projects diluted EPS of $1.30 to $1.40 for fiscal year 2026

Michael Kors revenue forecasted at $2.86 bln to $2.875 bln for fiscal year 2026

Result Drivers

VERSACE SALE - Proceeds from the Versace sale were used to significantly reduce net debt to $80 mln, strengthening the financial foundation

MICHAEL KORS CHALLENGES - Michael Kors revenue decreased 5.6% on a reported basis, attributed to higher tariffs and currency fluctuations

JIMMY CHOO GROWTH - Jimmy Choo revenue increased 5.0% on a reported basis, driven by improved operating income and margin

Key Details

Metric
Beat/Miss
Actual
Consensus Estimate
Q3 Revenue
Beat
$1.03 bln
$1.004 bln (14 Analysts)
Q3 Adjusted EPS
Beat
$0.81
$0.77 (13 Analysts)
Q3 EPS
$0.47
Q3 Adjusted Net Income
Beat
$98 mln
$92.41 mln (13 Analysts)
Q3 Net Income
$116 mln
Q3 Adjusted Operating Income
Beat
$79 mln
$76.81 mln (14 Analysts)
Q3 Adjusted Operating Margin
7.70%
Q3 Operating Income
$46 mln


Analyst Coverage

The current average analyst rating on the shares is "buy" and the breakdown of recommendations is 7 "strong buy" or "buy", 8 "hold" and 1 "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 Capri Holdings Ltd is $27.00, about 16.7% above its February 2 closing price of $23.14

The stock recently traded at 13 times the next 12-month earnings vs. a P/E of 13 three months ago

Press Release: ID:nBw42zZkFa

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.)