ETF Global vs FactSet: 2026 Compared

ETF Global vs FactSet: the comparison nobody on this query has written

FactSet and ETF Global are not competing for the same budget line, which is why no page currently ranking for this query puts them side by side. FactSet sells a broad research and reference data stack in which exchange-traded products are one covered universe among many; ETF Global positions itself as an ETF-specialist analytics and ratings provider. If what you actually need is neither an analytics layer nor a ratings overlay but the constituent files both of those are built on top of, the correct answer is a third category entirely.

Search the query itself and the results are dominated by descriptions of a single vendor rather than by any comparison of the two. The query asks for a side-by-side and the results supply product marketing and third-party profiles.

This article supplies the comparison, and it does so under a constraint worth stating openly: no dated page from either FactSet or ETF Global was available as source material for this article. Nothing below restates what either company's own pages currently say about pricing, coverage, classification, delivery or personnel, because those claims could not be verified from a source in front of the writer. Where something matters and could not be verified, it is named as unverified rather than filled in from memory.

One clean definition to anchor the rest: an ETF data purchase is really three separable purchases, the constituent file, the classification and analytics applied to it, and the delivery mechanism, and most evaluation failures come from buying all three from one vendor when only one of them was the actual requirement.

What each vendor is actually built for

FactSet is built to be the environment a research function works inside, with ETF data as one feed among a very large reference data estate. ETF Global is built narrowly around exchange-traded products, with ratings and screening as the visible product surface. The difference is scope, not quality.

That positioning difference is the stable part of the comparison, and it is the part that does not go stale between contract renewals. A broad research platform sells you a place for analysts to work, in which fund holdings sit alongside equities, fixed income, estimates and reference data. An ETF specialist sells you depth on one asset class and expects you to already have the rest.

For both vendors, the honest statement is short. Each company's general positioning is checkable on its own site in a few minutes, and nothing further, including product tiers, coverage counts, classification methodology, delivery formats, published research staff or pricing, was sourced from a dated page for this article. Readers comparing the two should treat any specific figure attributed to either vendor in a third-party listicle with the same suspicion, and confirm it against the vendor's own current page before it enters a business case. A deeper look at each vendor sits in FactSet Review 2026 and AmericanETP vs ETF Global 2026.

Verdict on positioning: if your requirement is an analytics and classification environment your analysts live in, a broad research platform is the category-correct buy; if it is ETF-specific scoring and screening without a wider research stack, an ETF specialist is the narrower and more targeted one.

Coverage and classification: how do you know what you are actually getting?

A coverage claim is not a number, it is four numbers, and vendors rarely publish all four. Ask whether the count refers to indexes or to funds, to US listings or global listings, to share classes or to funds, and whether the holdings are index constituents or the fund's own disclosed positions. Two vendors can describe the same universe and differ by thousands depending on which of those they mean.

Classification is the second half of the same question. Any vendor that maintains its own fund taxonomy gives you an asset and a constraint at the same time: a consistent vocabulary across a messy universe, and a dependency, because your screens, your peer groups and your internal reporting end up expressed in that vendor's terms. Migrating off a proprietary taxonomy later is a remapping project, not a contract change. Whether either vendor's classification is proprietary, whether the full mapping can be exported, and whether it can be licensed for use in your own systems are three questions to put in writing during the trial.

AmericanETP is the useful reference point because its coverage is stated plainly: 3878 US and global indexes and US-traded ETFs, with constituent lists rather than a scoring layer. There is no proprietary taxonomy to inherit, which is an advantage if you already run your own sector logic and a disadvantage if you wanted the taxonomy done for you. The practical issues with sector mapping across providers are covered in ETF List by Sector: 2026 Classification Guide, and the file-level questions in ETF Constituent Lists: 2026 Data Guide.

Verdict on coverage: take a vendor taxonomy if you want the classification decided and maintained for you; take a raw constituent source if your firm already has a taxonomy it will not abandon, because paying for a second one guarantees a reconciliation you will have to explain to somebody.

Delivery shape: datafeed, terminal, API or CSV

Delivery shape is the most consequential difference for an engineering team and the one no page ranking for this query addresses. A feed that integrates into an existing data platform, a desktop research environment, and a flat file an engineer loads in an afternoon are three different projects with three different staffing costs. The subscription is rarely the largest line.

Neither vendor's delivery specifics, including file formats, API availability, authentication, update cadence and whether a bulk historical pull is permitted, were verifiable from a dated page for this article. That is not a criticism of either, it is a statement about what a prospective buyer can confirm before contact. Treat all of it as trial questions, ask them in identical wording of both vendors, and get the answers in writing rather than in a demo.

AmericanETP is the concrete counterweight: constituent files update twice daily, with a 6pm EST primary cycle and a secondary cycle around noon EST, and FTP access is available for teams that want the files pulled on a schedule rather than fetched by hand from the downloads area.

The trade-off in the last two rows is unpacked in ETF Holdings Data API vs CSV Feeds, and the operational side of a scheduled pull in Daily ETF Holdings Download: 2026 Guide.

Verdict on delivery: a platform feed is the better fit where the data has to arrive inside an analytics environment that analysts already use; a scheduled file drop wins where the consumer is a batch process and every hour of integration is an hour not spent on the model.

Identifiers, joins and the integration bill nobody quotes

Identifier coverage decides total cost more reliably than the subscription price does. A constituent file without the identifiers your internal security master uses is a mapping project before it is a data source, and mapping projects do not end, they recur every time a ticker changes or a listing moves.

AmericanETP includes Bloomberg FIGIs in the constituent list holdings files, which matters because FIGI is an open identifier that survives ticker changes and does not carry a separate licence to use in your own systems. Where a vendor ships only its own proprietary symbology, every downstream join runs through a cross-reference you either license or build, and the Bloomberg-side considerations are set out on the Bloomberg extensions page.

Three questions settle this in any trial, and they should be asked of FactSet and ETF Global in identical wording. Which identifiers ship in the file, at what level, fund and constituent both. Whether CUSIP, ISIN, SEDOL or FIGI are present or whether the vendor's own code is the only guaranteed key. And what redistribution rights attach, because a fintech team embedding the data in a client-facing product has a different licensing question from a research desk consuming it internally.

No identifier claim or redistribution term for either FactSet or ETF Global was sourceable for this article, so nothing is asserted about either. Treat both as open questions for the trial rather than assumed parity, and ask for a sample file rather than a feature list, because the file answers the question and the feature list does not.

Verdict on identifiers: whichever vendor answers the three questions above in writing wins this criterion, and the one that answers them with a licensed proprietary key should be modelled with the cross-reference cost added to the quote.

History and point-in-time: what happens when you need 2011 back

Backtesting and audit are a separate evaluation axis from current-day coverage, and passing the first test tells you nothing about the second. A vendor that gives you perfect holdings today may give you a restated version of 2011 that never existed on any screen in 2011.

The distinction to insist on is between restated history and point-in-time history. A restated file has been cleaned with the benefit of hindsight, corporate actions applied backwards and delisted names quietly dropped, which is exactly the survivorship bias that makes a backtest look better than the strategy was. A point-in-time archive keeps the file as it was published, errors included, which is what a compliance reviewer and an honest backtest both need.

AmericanETP keeps archived constituent list datafiles back to July 2009, and the firm has been in this business a long time: it operated as MasterDATA from the 1990s, predating most current ETF data competitors, and was renamed to AmericanETP to avoid confusion with IBM's use of the MasterDATA term. Neither FactSet's nor ETF Global's archive depth or restatement policy was verifiable from public material available for this article, which makes it a trial question rather than a differentiator anyone can assert.

Ask each vendor three things about history: how far back files exist, whether delisted and closed funds remain retrievable, and whether a file requested for a past date is the file as published or a corrected version. The constituent change report is the kind of artefact that makes the answer checkable rather than promised.

Verdict on history: for a research desk running long-horizon backtests, archive depth and a no-restatement policy outrank every feature in the analytics layer, because a clean current file with a rewritten past produces confident wrong answers.

FactSet pricing and ETF Global pricing: what is and is not public

Neither vendor's pricing was verifiable from a dated page for this article, and this article will not invent one. No per-seat, per-feed or enterprise figure for FactSet or for ETF Global is stated here, and any such number you see quoted in a comparison post should be treated as unsourced until the vendor confirms it in writing on a current quote.

AmericanETP publishes its own, so it can be stated plainly: $1500 per year or $150 per month for an individual, and $2500 per year or $250 per month firm-wide. That is the whole schedule.

When only one side of a comparison publishes, model cost rather than compare list prices. Build the estimate from seats or feeds, the redistribution licence if the data touches a client-facing product, the engineering days to integrate, the cost of any cross-reference needed to join identifiers, and the annual uplift clause in the contract. A quote that looks competitive in year one and escalates on renewal is a different purchase from one that does not, and the escalation clause is usually the negotiable part.

Adjacent options for both sides are set out in FactSet Alternatives: 2026 Options and ETF Global Alternatives: 2026 Options.

Verdict on pricing: no verdict is possible on price between these two vendors from public information, and anyone who gives you one without a dated source is guessing.

Which one fits which desk

The right answer depends almost entirely on whether you are buying analysis, ratings or files. Here is the split by desk, stated bluntly.

Quant research team needing clean constituent history. Neither vendor's archive policy is publicly verifiable, so both must be trialled on point-in-time delivery before anything else. A file-first source with a dated archive is the lower-risk buy, and the comparison is drawn out in AmericanETP vs FactSet: 2026 Comparison.

RIA producing client-facing work. Ratings and screening you can put in front of a client are a real product, and this is where an ETF specialist's scoring and a research platform's report output both genuinely beat a raw constituent file. A CSV of holdings does not write a client memo.

Exchange or index provider reconciling constituents. The requirement is an independent second file with stable identifiers and a documented change report, not an analytics layer. Buy the files.

Fintech team building on a feed. Redistribution rights decide this, not features. Get the licence answer in writing from both before comparing anything else, and read Best ETF Global Alternatives 2026 for how the shortlist usually narrows.

Bank research function. A broad platform is the straightforward answer where analysts need one environment covering equities, funds and reference data together. If bundled research output is part of the reason you are buying, confirm its scope and redistribution terms in the trial rather than assuming it travels with the data licence.

How to run a 30-day evaluation that settles it

A month is enough to settle this if you test the same thing at every vendor. Pick five ETFs spanning equity, fixed income, commodity, a leveraged or inverse product and a global listing, then request the same as-of date from each vendor and compare the outputs against the issuer's own published holdings file.

Then count, rather than judge. How many constituents differ in name or weight from the issuer file. How many identifiers fail to map into your security master without manual work. How long the load takes from receipt to queryable table, measured in engineer hours and not in vendor promises.

Finally, test the calendar rather than the average day. Request a file for an exchange half-day, a month-end, and a day on which one of your five funds had a rebalance, because that is where cadence and reconciliation problems surface. AmericanETP's twice-daily cycle, 6pm EST primary and roughly noon EST secondary, gives you a fixed reference to measure other vendors against.

Two adjacent comparisons are worth reading alongside this one if FactSet is on your shortlist: FactSet vs Refinitiv: 2026 Comparison and FactSet vs Morningstar: 2026 Compared, or if ETF Global is on your shortlist instead, see ETF Global vs Refinitiv or ETF Global vs Morningstar.

FAQ

Who are FactSet's main competitors in research?

FactSet operates in the financial research and reference data market alongside Refinitiv, Morningstar and S&P Global Market Intelligence, all of which sell analytics environments rather than standalone constituent files. Market share, revenue and customer figures for any of them are not stated here because none was sourceable from a dated page. For fund and ETF data specifically, the competitive set widens to include specialist providers whose product is the underlying file rather than the analytics built on it.

Is ETF Global a FactSet competitor or a complement?

They overlap on ETF analytics and diverge everywhere else. FactSet's general positioning is a wide research and reference data estate in which exchange-traded products are one universe, whereas ETF Global positions itself entirely around exchange-traded products. A firm already running a broad platform across equities and fixed income is more likely to add an ETF specialist for a specific screening or ratings requirement than to replace the stack.

What does FactSet ETF data actually include?

No dated FactSet page was available as source material for this article, so its current contents are not restated here. What a buyer should establish in the trial is the same list for any vendor: which funds and indexes are covered and on what basis, whether holdings are issuer-disclosed or index constituents, which identifiers ship at fund and constituent level, the update cadence, the archive depth and restatement policy, and the redistribution terms. Ask for a sample file covering your own five test tickers, because the file answers all of those questions and a feature list answers none of them.

Why is FactSet stock dropping so much?

No share price data, analyst commentary or market movement for FactSet was included in the material available for this article, so no explanation is offered here. Share price questions are answered by primary market data and company filings, not by data vendor comparisons, and any reasoning found in an article like this one would be reconstruction rather than reporting.

Do I need a terminal, an ETF API or a CSV feed?

Match the delivery shape to the consumer of the data. A terminal suits an analyst producing research by hand, an API suits an application serving data to users in real time, and a scheduled CSV or FTP drop suits a batch process such as a backtest, a risk run or an overnight reconciliation. Most teams overbuy here, paying for an interactive environment to feed a job that runs at 3am without a human present.

What is the best performing global ETF?

Performance rankings change daily and no performance data was available in the sources used for this article, so none is listed. The more durable question for an institutional desk is whether your holdings data lets you compute performance attribution consistently across funds, which depends on constituent accuracy, identifier coverage and point-in-time history rather than on any published league table.

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If the part of this decision you actually need to solve is the constituent file underneath the analytics, AmericanETP publishes twice-daily updated constituent lists across 3878 US and global indexes and US-traded ETFs, with FIGIs in the holdings files and archives back to July 2009. See the coverage and pricing at americanetp.com, or get in touch with the five tickers you want tested.