Strong Subscriber Growth
Ending active subscribers of ~144,000, up 20.1% year-over-year (Q4 '25 vs Q4 '24); average active subscribers during Q4 were 146,356, up 16% year-over-year.
Revenue Growth
Q4 revenue of $91.7 million, up $15.3 million or 20% year-over-year; subscription and reserve rental revenue up $13.2 million or 20.4% year-over-year; Q1 '26 revenue guidance of $85–87 million (growth of 22%–25% vs Q1 '25) and full-year fiscal 2026 expected to deliver double-digit revenue growth.
Improved Customer Engagement and Loyalty
Subscription Net Promoter Score grew 39% versus prior year and has more than tripled since 2022; average subscriber visits the app 15 times per month (almost 50% increase over 2024); inventory-related cancellations down 7.6% year-over-year in Q4.
Margin and Cost Improvements in Q4
Q4 gross margin improved to 38.6% from 37.7% year-over-year and rose from 29.6% in Q3; fulfillment costs as a percentage of revenue declined to 23.6% from 26.4% year-over-year.
Adjusted EBITDA Positive in Q4
Q4 adjusted EBITDA was $18.3 million (20% of revenue), slightly higher in absolute dollars versus prior year and demonstrating profitability at the quarter level.
Major Inventory Investment Paid Off
Company made the largest inventory investment in its history in FY2025, resulting in higher units per subscriber, doubled new receipts year-over-year versus FY2024, and improved customer experience driving subscriber growth and higher revenue per order.
Balance Sheet Strengthening
Completed strategic recapitalization that reduced total debt from approximately $319 million to $120 million, improving financial stability and bringing in investors focused on equity value creation.
Strong Traction in New Revenue Streams and Community Programs
Add-on revenue in Q4 up 67% year-over-year; Muse Program surpassed 13 million impressions in Q4 alone; City Ambassador Program scaled to over 1,000 ambassadors; marketplace pilot launched with 86% of members surveyed expressing interest in purchasing complementary items.
Operational and Technology Initiatives
Investments in AI and machine learning for discovery (outfit groupings, conversational search, PDP enhancements) and back-end efficiencies (computer vision quality control, dynamic pricing, AI-assisted coding) expected to improve productivity and margins over time.