ETFBOOK, the Zürich based ETF data and analytics platform operated by SquaredData AG, raised $13 million in September 2026. Its platform consolidates fragmented ETF information into a standardized intelligence layer spanning more than 11,000 ETFs in Europe and the US, serving institutional participants across the ET...
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Create a landscape editorial hero image for this Studio Global article: What is ETFBOOK (SquaredData AG), how much funding did it raise and from which investors, what problem in the rapidly growing global ETF mar. Article summary: ETFBOOK is the Zürich-headquartered brand of SquaredData AG: an ETF-specialist, AI-native data and analytics platform founded in 2020. It raised $13 million in September 2026, led by Expedition Growth Capital, with follo. Topic tags: general, general web, user generated. Style: premium digital editorial illustration, source-backed research mood, clean composition, high detail, modern web publication hero. Use reference image context only for broad subject, composition, and topical grounding; do not copy the exact image. Avoid: logos, brand marks, copyrighted characters, real person likenesses, fake screenshots, UI text, readable text, watermarks, charts with fa
ETFBOOK is the ETF-focused data and analytics platform operated by Zürich-based SquaredData AG. Its central proposition is straightforward: make fragmented ETF information usable as a consistent, ETF-native data layer for institutional market participants. In September 2026, the company announced a $13 million funding round to scale that effort beyond its EMEA base. 2
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ETFBOOK raised $13 million in a funding round led by Expedition Growth Capital. Existing investor BlackFin Capital Partners also participated. 2
6
The investment is intended to support ETFBOOK’s next growth phase: expanding its data and analytics platform from EMEA into the Americas and Asia-Pacific. As part of the transaction, Boston-based Expedition partner Steve Twomey joined ETFBOOK’s board, according to reporting on the round. 4
ETF markets generate data from many sources and across different formats. ETFBOOK’s platform is designed to connect and normalize those fragmented inputs into a standardized intelligence layer, rather than leaving clients to reconcile disparate data feeds themselves. 5
6
That problem becomes more consequential as the market grows. ETFBOOK has described the global ETF market as holding roughly $25 trillion in assets under management, and its funding announcement positioned reliable data infrastructure as a requirement for participants operating across markets. 2
8
The company’s aim is not simply to aggregate data, but to provide a usable, consistent view of ETF activity for analysis and operational workflows.
ETFBOOK serves participants across the institutional ETF ecosystem, including:
The company says its platform covers more than 11,000 ETFs across Europe and the US. Available data includes daily T+1 information on flows, trading and holdings, as well as coverage relevant to primary- and secondary-market activity. It reports more than 70 enterprise customers across Europe, the UK and the US. 1
ETFBOOK organizes its proposition around three connected product areas.
The Data offering provides cleaned and harmonized ETF data through APIs. This is the foundation for customers that want to incorporate ETFBOOK’s standardized information into their own applications, data environments and workflows. 1
13
The Analytics product is ETFBOOK’s multi-user web application. It gives customers access to ETF-specific analysis in a dedicated interface rather than requiring them to build every view from raw feeds themselves. The company plans to extend analytics capabilities to additional client use cases as it grows. 3
14
Workforce is aimed at operational ETF-data work. It is designed to help clients combine verified ETF data and workflow processes with their internal or third-party sources, then run critical processes at scale. 13
Together, these product lines position the platform as both a data supplier and a workflow layer for firms whose ETF work depends on timely, consistent information.
ETFBOOK describes its infrastructure as AI-native and says it is developing a conversational AI layer across its API and web-application offering. The stated objective is to make ETF intelligence easier to query and use while keeping underlying information connected to a normalized data foundation. 8
11
The company also says its architecture automates data ingestion, processing and distribution. That automation is meant to help the platform scale as ETF data volumes and market coverage expand, without requiring data-operations staffing to rise at the same rate. 7
13
The $13 million will fund both product development and international expansion. ETFBOOK’s announced priorities include:
The expansion plan reflects the company’s larger ambition: to turn a platform developed for ETF data needs in Europe into an intelligence layer used across major global ETF markets. Its ability to do that will depend on executing in new regions while maintaining the standardized data quality that is central to the product’s value. 2
6
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ETFBOOK, the Zürich based ETF data and analytics platform operated by SquaredData AG, raised $13 million in September 2026.
ETFBOOK, the Zürich based ETF data and analytics platform operated by SquaredData AG, raised $13 million in September 2026. Its platform consolidates fragmented ETF information into a standardized intelligence layer spanning more than 11,000 ETFs in Europe and the US, serving institutional participants across the ETF ecosystem.
ETFBOOK plans to broaden market coverage and analytics while building teams in New York, Hong Kong and Kraków.
ETFBOOK, the Zürich based ETF data and analytics platform operated by SquaredData AG, raised $13 million in September 2026. Its platform consolidates fragmented ETF information into a standardized intelligence layer spanning more than 11,000 ETFs in Europe and the US, serving institutional participants across the ET...
Published byEdited with GPT-5.6 TerraImages generated with GPT Image 2
Research answer

Create a landscape editorial hero image for this Studio Global article: What is ETFBOOK (SquaredData AG), how much funding did it raise and from which investors, what problem in the rapidly growing global ETF mar. Article summary: ETFBOOK is the Zürich-headquartered brand of SquaredData AG: an ETF-specialist, AI-native data and analytics platform founded in 2020. It raised $13 million in September 2026, led by Expedition Growth Capital, with follo. Topic tags: general, general web, user generated. Style: premium digital editorial illustration, source-backed research mood, clean composition, high detail, modern web publication hero. Use reference image context only for broad subject, composition, and topical grounding; do not copy the exact image. Avoid: logos, brand marks, copyrighted characters, real person likenesses, fake screenshots, UI text, readable text, watermarks, charts with fa
ETFBOOK is the ETF-focused data and analytics platform operated by Zürich-based SquaredData AG. Its central proposition is straightforward: make fragmented ETF information usable as a consistent, ETF-native data layer for institutional market participants. In September 2026, the company announced a $13 million funding round to scale that effort beyond its EMEA base. 2
6
ETFBOOK raised $13 million in a funding round led by Expedition Growth Capital. Existing investor BlackFin Capital Partners also participated. 2
6
The investment is intended to support ETFBOOK’s next growth phase: expanding its data and analytics platform from EMEA into the Americas and Asia-Pacific. As part of the transaction, Boston-based Expedition partner Steve Twomey joined ETFBOOK’s board, according to reporting on the round. 4
ETF markets generate data from many sources and across different formats. ETFBOOK’s platform is designed to connect and normalize those fragmented inputs into a standardized intelligence layer, rather than leaving clients to reconcile disparate data feeds themselves. 5
6
That problem becomes more consequential as the market grows. ETFBOOK has described the global ETF market as holding roughly $25 trillion in assets under management, and its funding announcement positioned reliable data infrastructure as a requirement for participants operating across markets. 2
8
The company’s aim is not simply to aggregate data, but to provide a usable, consistent view of ETF activity for analysis and operational workflows.
ETFBOOK serves participants across the institutional ETF ecosystem, including:
The company says its platform covers more than 11,000 ETFs across Europe and the US. Available data includes daily T+1 information on flows, trading and holdings, as well as coverage relevant to primary- and secondary-market activity. It reports more than 70 enterprise customers across Europe, the UK and the US. 1
ETFBOOK organizes its proposition around three connected product areas.
The Data offering provides cleaned and harmonized ETF data through APIs. This is the foundation for customers that want to incorporate ETFBOOK’s standardized information into their own applications, data environments and workflows. 1
13
The Analytics product is ETFBOOK’s multi-user web application. It gives customers access to ETF-specific analysis in a dedicated interface rather than requiring them to build every view from raw feeds themselves. The company plans to extend analytics capabilities to additional client use cases as it grows. 3
14
Workforce is aimed at operational ETF-data work. It is designed to help clients combine verified ETF data and workflow processes with their internal or third-party sources, then run critical processes at scale. 13
Together, these product lines position the platform as both a data supplier and a workflow layer for firms whose ETF work depends on timely, consistent information.
ETFBOOK describes its infrastructure as AI-native and says it is developing a conversational AI layer across its API and web-application offering. The stated objective is to make ETF intelligence easier to query and use while keeping underlying information connected to a normalized data foundation. 8
11
The company also says its architecture automates data ingestion, processing and distribution. That automation is meant to help the platform scale as ETF data volumes and market coverage expand, without requiring data-operations staffing to rise at the same rate. 7
13
The $13 million will fund both product development and international expansion. ETFBOOK’s announced priorities include:
The expansion plan reflects the company’s larger ambition: to turn a platform developed for ETF data needs in Europe into an intelligence layer used across major global ETF markets. Its ability to do that will depend on executing in new regions while maintaining the standardized data quality that is central to the product’s value. 2
6
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ETFBOOK, the Zürich based ETF data and analytics platform operated by SquaredData AG, raised $13 million in September 2026.
ETFBOOK, the Zürich based ETF data and analytics platform operated by SquaredData AG, raised $13 million in September 2026. Its platform consolidates fragmented ETF information into a standardized intelligence layer spanning more than 11,000 ETFs in Europe and the US, serving institutional participants across the ETF ecosystem.
ETFBOOK plans to broaden market coverage and analytics while building teams in New York, Hong Kong and Kraków.