Brilliant Earth Q3 sales rise 2%, beat estimates

By Reuters News


Overview

  • US fine jewelry retailer's Q3 net sales rose 2% yr/yr, beating analyst expectations

  • Adjusted EPS for Q3 beat analyst expectations

  • Company's Q3 gross margin expanded by 210 bps yr/yr to 59.7%


Outlook

  • Company expects full-year 2026 net sales growth of 2.75% to 4% y/y

  • Brilliant Earth forecasts 2026 adjusted EBITDA between $13 mln and $15 mln

  • Company outlook assumes tariffs and metal prices as of Nov. 3, 2026


Result Drivers

  • FINE JEWELRY MIX - Co said growth in fine jewelry bookings and new launches helped diversify sales beyond bridal

  • BOOKINGS DIVERSIFICATION - Fine jewelry bookings increased to 16% of total bookings, supporting sales diversification

  • GROSS MARGIN EXPANSION - Co attributed higher gross margin to business model agility


Company press release:


Key Details

Metric

Beat/Miss

Actual

Consensus Estimate

Q3 Sales

Beat

$112.8 mln

$110.15 mln (4 Analysts)

Q3 Adjusted EPS

Beat

$0.03

$0.02 (4 Analysts)

Q3 Net Income

$2.40 mln

Q3 Adjusted EBITDA

$5.10 mln

Q3 Gross Margin

59.70%


Analyst Coverage

  • The current average analyst rating on the shares is "hold" and the breakdown of recommendations is no "strong buy" or "buy", 4 "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 Brilliant Earth Group Inc is $1.50, about 2% below its November 4 closing price of $1.53

  • The stock recently traded at 17 times the next 12-month earnings vs. a P/E of 21 three months ago


Reuters Recommended Reads

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  • Nov 4 - AMC Entertainment Q3 revenue beats estimates on strong attendance

  • Nov 4 - Wayfair beats Q3 revenue, profit estimates on more customers, orders


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.)

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