dxl.com
Find the best deals on big & tall clothing, shoes & accessories for men from brands like Polo Ralph Lauren, Lacoste, Nautica, Reebok, Harbor Bay, and more.
GRIPS CUSTOMERS & RESEARCH PARTNERS
dxl.com Annual Revenue and Growth
dxl.com's annual sales on its online store amounted to $39.6M in 2025, down 20-50% from the previous year. For 2026, revenue is expected to decline by 10-20%. The trend is expected to moderate.
dxl.com's monthly revenueOVER TIME
Over the past three months, dxl.com revenue has experienced growth of 44%, compared to the preceding three months.
dxl.com competitors
In January 2026, dxl.com reported a revenue of $2,812,738 from 17,813 transactions and 1,548,578 sessions, with an average order value (AOV) ranging from $150 to $175 and a conversion rate between 1.00% to 1.50%. In comparison to its competitors, westportbigandtall.com generated $307,758 in revenue from 1,270 transactions and 90,759 sessions, with an AOV of $225 to $250 and a conversion rate of 1.00% to 1.50%. americantall.com had a revenue of $1,827,057 from 13,110 transactions and 849,426 sessions, with an AOV between $125 to $150 and a conversion rate ranging from 1.50% to 2.00%. Despite having lower revenue, dxl.com demonstrated competitive performance in terms of conversion rate and AOV compared to its competitors such as boohooman.com, ralphlauren.com, and menswearhouse.com.
Revenue share by device at dxl.com
In January large majority of sales on dxl.com, 66% was finalized on mobile devices (mobile web only, excluding app usage, if relevant), with 34% of sales coming from desktop devices.
Gain even more insights with the Grips app
dxl.com channels
Identify top traffic channels that drive growth for dxl.comand discover how performance of traffic channels has changed over time.
dxl.com Google Ads spend
Evaluate dxl.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.
dxl.com devices
Review dxl.com's performance across desktop and mobile devices. Analyze how revenue, conversion rate, transactions, AOV and sessions vary depending on the device shoppers use.
