WooCommerce Has 25x the Stores. Magento Has 5x the Share of $10M+ Companies.

We matched 91,099 verified European stores to 69,538 companies with public filings. Store count and company revenue produce two different platform rankings.

· 23 days ago · Mateusz Rzepa · 9 min read

Key numbers

  • For every active Magento store in six comparable European markets, there are 25 WooCommerce stores.
  • Among companies matched to public filings, 27.2% of Magento companies report more than $10M in revenue, against 5.3% for WooCommerce (country-adjusted).
  • The median matched Magento company reports $2.8M in whole-company revenue. The median WooCommerce company: $226K.
  • The dataset: 91,099 verified stores matched to 69,538 companies with public financial filings in France, Poland, Romania, Slovakia, Latvia, and Estonia.

WooCommerce vs Magento: Two Different Rankings

For every active Magento store in six comparable European markets, we found 25 WooCommerce stores.

But the order changes sharply when we look at the companies behind the matched stores. After adjusting for country mix, 27.2% of matched Magento companies reported more than $10M in revenue. For WooCommerce, it was 5.3%.

In plain terms: about one in four matched Magento companies runs a $10M+ business. For WooCommerce, about one in twenty.

We built this comparison by matching 91,099 verified e-commerce domains to 69,538 companies with public financial filings in France, Poland, Romania, Slovakia, Latvia, and Estonia.

Verification matters here: more than half of detected WooCommerce sites are not actual stores, so raw install counts would inflate WooCommerce's denominator before the comparison even starts.

WooCommerce Has the Most Active Stores. Magento Has the Highest Share of $10M+ Companies.
PlatformACTIVE STORESMATCHED COMPANIES ABOVE $10M
WooCommerce173,6035.3%
Shopify114,8777.6%
PrestaShop58,8167.9%
Magento7,02427.2%

The first measure captures adoption among active verified stores. The second captures a different property: how often the company behind a matched store is a $10M+ business, after adjusting for country mix.

This does not mean Magento generates five times more e-commerce GMV than WooCommerce. It means that, within the matched public-filing sample, Magento is used by a much more enterprise-dense company base.

PrestaShop and Shopify are the other important result. Their active store footprints differ substantially, but their adjusted company profiles are close: 7.9% for PrestaShop and 7.6% for Shopify.

Why Country Adjustment Matters

Public filing coverage and platform adoption differ by country. A raw European average can therefore become a proxy for whichever countries contribute the most matched companies.

To reduce that distortion, we calculated the above-$10M rate inside every country and then applied the same pooled country weights to WooCommerce, Shopify, PrestaShop, and Magento.

The adjusted result is:

Platform Country-adjusted share of matched companies above $10M
Magento 27.2%
PrestaShop 7.9%
Shopify 7.6%
WooCommerce 5.3%

For context: across all matched companies in these six markets, regardless of platform, 7.6% report more than $10M.

The ranking is stable when the analysis is restricted to filings from 2022 onward. The percentages move slightly, but Magento remains far ahead, PrestaShop and Shopify remain close, and WooCommerce remains the most long-tail of the four matched samples.

The gap is also not driven by any single market or by a few very large entities. Leaving out any one of the six countries keeps the Magento-to-WooCommerce ratio between 4.9x and 5.8x. Excluding every company above $100M from the sample entirely keeps it at about 5x.

Store-to-Filing Match Rates Differ by Platform

This is not a census of platform revenue. It is an analysis of companies that can be connected to a public filing with a positive reported revenue figure - filings without a usable revenue value do not count as matches.

Those match rates differ substantially:

Store-to-Filing Match Rate by Platform
% of active stores matched to public filings
Magento34.6
Sylius30.3
PrestaShop23.3
WooCommerce17.7
Shoper12.6
Shopify7.8

The gap can come from legal-entity signals on the website, registry identifiers, filing availability, company structure, and the types of merchants selecting each platform.

That is why the main result is framed as the company profile of the matched sample, not the total economic value generated by a platform. The country adjustment reduces one important bias. It does not turn a partial public-filing sample into a full market census.

For market intelligence, the matched records are still directly useful. A verified store connected to a legal entity and public revenue is the kind of account a payment provider, logistics company, agency, platform, or investor can evaluate.

Median Company Revenue by E-Commerce Platform

In the table below, each company counts once per legal entity and platform. A company operating five domains no longer receives five times the weight in the median.

Platform Active stores Matched companies Company median revenue Companies above $10M
WooCommerce 173,603 25,770 $226K 1,128
Shopify 114,877 7,435 $288K 590
PrestaShop 58,816 10,821 $916K 1,150
Magento 7,024 1,725 $2.8M 496
Shoper 6,624 760 $789K 72
Sylius 284 66 $7.1M 28

Magento has the clearest enterprise profile among the four cross-market platforms. Its median matched company is more than twelve times larger than WooCommerce's.

Shoper and Sylius are useful directional signals but are not included in the country-adjusted ranking. Shoper is concentrated in Poland. Sylius has only 66 matched companies in these six markets, so its high median should not be generalized to the whole platform ecosystem.

Coverage Across Europe

The full store-to-filing dataset currently covers seven European markets and connects 96,388 domains to 73,746 legal entities. Belgium contributes useful matched records, but its current strict revenue extraction is not comparable enough for the cross-platform revenue analysis.

The main comparison uses France, Poland, Romania, Slovakia, Latvia, and Estonia. Coverage differs between markets because filing availability and the reliability of domain-to-entity identifiers differ. The country adjustment prevents platforms from benefiting simply because they are stronger in the markets with more matched companies.

What This Means

Store count measures distribution. Public filings reveal the company profile behind that distribution. For anyone evaluating an e-commerce market, platform install share alone is a weak proxy for where larger operating companies are concentrated. It is also a lagging one: among newly launched European stores, adoption is shifting toward Shopify. The more useful unit is a verified store connected to its technology stack, legal entity, and financial filing.

The practical version: a payment provider selling into the enterprise segment is looking at 496 matched Magento companies above $10M in these six markets, a far shorter and denser list than 173,000 WooCommerce storefronts. An agency or investor reading install share as opportunity share is reading the wrong map.

The Join Is the Asset

Technology detection is only the first layer.

The second layer is verifying that a domain is an active store. The third is identifying the legal entity behind it. The fourth is connecting that entity to a public filing. Only then can we compare store distribution with the company profile behind the stores.

The financial filings were public. The domain-to-company-to-platform graph was not.

Methodology

This analysis uses a frozen ShopRank snapshot from July 7, 2026 and the hard-financial registry bridge generated on July 8, 2026.

The analysis uses public company financial records covering France, Poland, Romania, Slovakia, Latvia, and Estonia. Source-specific extraction was validated against official registry data where available. The Polish financial records originate from official filings in the Ministry of Justice's KRS Financial Documents Repository (RDF), and the values used here were independently cross-checked against a local archive of those official XML filings.

This article publishes aggregate platform-level statistics only. It does not republish filing documents or company-level revenue records. ShopRank's derived contribution is the verified connection between a store domain, its technology, the operating legal entity, and the corresponding public filing.

Active store counts use verified e-commerce domains that are available, not in maintenance, and have successfully analyzed page content. The main comparison covers France, Poland, Romania, Slovakia, Latvia, and Estonia.

The country-adjusted ranking includes WooCommerce, Shopify, PrestaShop, and Magento because all four have meaningful support across the six included markets. The common country weights are based on the pooled matched-company distribution of those four platforms.

Company medians and percentiles are calculated after deduplicating by country, official registry ID, and platform. If one legal entity operates domains on two platforms, it can appear once in each platform profile.

Revenue is the latest positive whole-company revenue available in the registry bridge and is converted to USD using annual FX rates. It includes offline, wholesale, marketplace, and other company activity. It is not store-level GMV and should not be interpreted as revenue caused by the platform.

Important limitations:

  • Public filing coverage differs by country and platform.
  • Filing years differ by company; the sensitivity check uses filings from 2022 onward.
  • Matchability is not random and can correlate with company maturity and platform type.
  • A match requires a positive reported revenue figure; companies whose filings lack one are excluded, and this exclusion can affect platforms unevenly.
  • In several countries, the smallest businesses file abbreviated statements or none at all, which tilts the matched sample toward larger companies.
  • Belgium is shown for coverage but excluded from the revenue comparison.
  • Shoper is geographically concentrated and Sylius has a small matched sample.
  • Total revenue sums are intentionally not used because a few very large legal entities can dominate them.

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