GRIPS CUSTOMERS & RESEARCH PARTNERS
goyard.com Annual Revenue and Growth
goyard.com's annual sales on its online store amounted to $43.5M in 2025, up 20-50% from the previous year. For 2026, revenue is expected to grow by 50%+. The trend is expected to accelerate.
goyard.com's monthly revenueOVER TIME
Over the past three months, goyard.com revenue has experienced growth of 50%, compared to the preceding three months.
goyard.com competitors
In September 2026, theluxurycloset.com leads in sessions with 1.4 million but trails goyard.com in revenue, generating $830,000 from 1,221 transactions. goyard.com outperforms all competitors with $6.8 million in revenue and 14,500 transactions. Its average order value (AOV) ranges from $450 to $475, which is notably lower than davidsw.com, whose AOV is between $1,350 and $1,375. However, goyard.com maintains a conversion rate of 1.00-1.50%, which surpasses bragmybag.com and annsfabulousfinds.com, both at 0.00-0.50%. In contrast, bragmybag.com generates $99,300 from 128 transactions, while annsfabulousfinds.com brings in $69,200 from 87 transactions, both significantly lower than goyard.com. Despite lower revenue figures, goyard.com’s performance solidifies its leading position among these luxury goods competitors.
Revenue share by device at goyard.com
In September large majority of sales on goyard.com, 74% was finalized on desktop devices, with 26% of sales coming from mobile devices (mobile web only, excluding app usage, if relevant).
Industries goyard.com operates in
goyard.com is tracked across 1 e-commerce industry. Explore market size, leading retailers and benchmarks for each.
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goyard.com channels
Identify top traffic channels that drive growth for goyard.comand discover how performance of traffic channels has changed over time.
goyard.com Google Ads spend
Evaluate goyard.com's Google search ad spend, ad clicks and cost-per-click. Review performance over time and gain deeper view into their ad campaign spend.
goyard.com devices
Review goyard.com's performance across desktop and mobile devices. Analyze how revenue, conversion rate, transactions, AOV and sessions vary depending on the device shoppers use.
