hm.com
HM.com is an online platform comprising a range of fashion items catering to men, women, and children. The website offers a comprehensive selection of clothing, accessories, and footwear. It includes various fashion collections, including sustainable options, and utilizes online shopping, enhancing accessibility to customers worldwide.
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hm.com Annual Revenue and Growth
hm.com's annual sales on its online store amounted to $2.3B in 2024, up 5-10% from the previous year. For 2025, revenue is expected to grow by 0-5%. The trend is expected to moderate.
hm.com's monthly revenueOVER TIME
Over the past three months, hm.com revenue has experienced growth of 57%, compared to the preceding three months.
hm.com competitors
In November 2025, hm.com outperformed some of its competitors in terms of revenue and transactions. H&M's revenue of $356,999,826 and transactions of 4,621,697 were higher than those of Forever 21 and Boohoo. However, when comparing to other competitors like Zara and Gap, H&M fell behind in revenue. Zara had a revenue of $221,760,558 and Gap had a revenue of $242,492,801. In terms of average order value (AOV), H&M's AOV range of $75-100 was similar to Zara's, but lower than Asos and Gap. H&M's conversion rate of 3.50-4.00% was on par with Boohoo, but lower than Asos and Gap. Despite some areas where H&M fell short compared to its competitors, it still showed strong performance in terms of revenue and transactions.
Revenue share by device at hm.com
In November large majority of sales on hm.com, 53% was finalized on desktop devices, with 47% of sales coming from mobile devices (mobile web only, excluding app usage, if relevant).
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hm.com channels
Identify top traffic channels that drive growth for hm.comand discover how performance of traffic channels has changed over time.
hm.com Google Ads spend
Evaluate hm.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.
hm.com devices
Review hm.com's performance across desktop and mobile devices. Analyze how revenue, conversion rate, transactions, AOV and sessions vary depending on the device shoppers use.
