AmericanETP vs FactSet: 2026 Comparison

AmericanETP vs FactSet: the short answer

If the only thing you need is a daily, reproducible list of what is inside an index or an ETF, AmericanETP does that job for $150 per month individual or $1,500 per year, and $250 per month or $2,500 per year firm-wide, and a terminal-class platform contract is an expensive place to buy it. If you need estimates, transcripts, ownership data, attribution, screening and a research workflow that a coverage analyst lives inside all day, FactSet is the answer and no CSV feed replaces it.

FactSet is a terminal-class financial data and analytics platform sold as an enterprise contract, positioned in the same category as Bloomberg, Capital IQ and Refinitiv Eikon by the comparison pages that rank for this query (Wall Street Prep, read 9 September 2026). AmericanETP is a single-purpose constituent data service that delivers index and ETF holdings, plus a small fundamentals file, as flat CSV files on a fixed twice-daily schedule.

Stated plainly: for most firms these are not substitutes. The real question this article answers is narrower and more practical, which is whether a general platform contract is the right place to source daily ETF and index membership, or whether that one line item belongs outside it.

Every other page that ranks for FactSet comparisons puts it next to another full-stack terminal, so the verdict is always about breadth, and breadth is a contest a file feed cannot enter. The comparison nobody publishes is platform versus file, and that is the decision a quant desk or a fintech engineering team is actually making.

What each one is actually built to do

FactSet is built to be the place an analyst works. AmericanETP is built to be an input to a system that somebody else wrote. That difference in intent explains almost every other difference between them, including price.

The pages that rank for this comparison treat FactSet as one of a small set of platforms an investment banking or buy-side seat is issued, and compare it to Capital IQ on the features that matter in banking workflows (Wall Street Prep, read 9 September 2026). That is the honest description of its category: a connected environment where screening, company research and portfolio analytics sit next to each other, sold and supported as an enterprise relationship. Specific current features, module names and delivery options should be confirmed with FactSet directly, because no dated vendor source was available for this article.

AmericanETP's scope is small enough to state completely in a paragraph. It covers 3,878 US and global indexes and US-traded ETFs, updates constituent files twice a day with a 6pm EST primary run and a roughly noon EST secondary run, includes Bloomberg FIGIs in the constituent holdings files, ships a fundamentals file carrying ETF description, leverage and constituent counts, archives constituent list datafiles back to July 2009, and offers FTP access.

So why compare a narrow product with a broad platform at all? Because constituent lists are a line item inside both, and a firm that has a platform contract often discovers that the membership data it feeds to production came bundled with a great deal it is not using.

There is one more thing worth knowing about the smaller vendor: AmericanETP was founded in the 1990s as MasterDATA, and renamed to avoid confusion with IBM's use of that term.

Verdict on positioning: pick FactSet if the product you are buying is an analyst's working environment. Pick AmericanETP if the product you are buying is a file your loader reads at 6:15pm.

Coverage: where the two overlap and where they do not

The overlap between these two products is narrow and easy to draw: index and ETF constituent lists, and basic ETF descriptive fundamentals. Outside that overlap, almost everything on the platform side has no AmericanETP equivalent, and there is no reading of the data in which that is a close call.

FactSet wins the breadth comparison outright, and any article implying otherwise is not worth your time. A single-domain file vendor competes on one row of that table and concedes the rest before the conversation starts.

Where the overlap gets interesting is in the details of that one row. Constituent files are only as useful as the classification and weighting you can attach to them, and sector taxonomy is the usual friction point: two vendors can agree on every ticker in an index and still disagree on the sector split, because they use different classification schemes. The mechanics of that are covered in ETF List by Sector: 2026 Classification Guide, which is worth reading before you assume two sector-weight files are comparable.

Verdict on coverage: if your requirement list has more than two rows in the table above, a constituent feed is a supplement, not a replacement.

How does the data reach you: workstation and API versus flat files on FTP

Delivery model is the sharpest observable difference between these two products, and unlike coverage counts or pricing it does not go stale. AmericanETP hands you CSV files on a schedule over FTP. A platform hands you an application and, subject to your entitlements, programmatic access to query it.

With flat files there is no client library to upgrade, no query language to learn, no rate limit to reason about, and no entitlement layer sitting between the file and your loader. You point a job at a directory, you validate a row count, you load. The failure modes are equally blunt: the file is late, the file is short, or a column changed, and your monitoring has to catch all three because nothing else will. The practical version of that pipeline is walked through in Daily ETF Holdings Download: 2026 Guide.

An API-first platform gives you things a file cannot. You can ask narrow questions without pulling a whole universe, you can join across data domains inside the vendor's own model instead of in your warehouse, and you get an entitlement system that tells you what you are licensed to touch. Confirm which programmatic options your specific FactSet agreement includes, since that varies by contract and no dated source was available here.

The cost of each model is paid in different currencies. File delivery costs you schema vigilance and a batch window; platform integration costs you vendor-specific client code, credential management and a mapping layer that someone has to own for as long as the contract lasts. For a team that only needs membership as of the close, the second bill is larger than the first.

What happens when the feed is late

Ask this question of both vendors before you sign, because it is the failure everyone actually experiences. With a twice-daily file schedule, a late primary run means your 6pm batch has nothing to read and you need a documented fallback: rerun on arrival, or run on yesterday's membership and flag it.

The secondary run around noon EST changes the shape of that problem, because it gives you a second bite at intraday corrections rather than a 24-hour wait. AmericanETP also publishes a Constituent-Change-Report, which is the file most teams should be diffing against rather than reconciling full membership by hand.

Verdict on delivery: engineering teams building automated pipelines usually prefer files. Analysts who need to ask a question they did not anticipate yesterday need a platform.

Identifiers, point-in-time history and reproducibility

Identifier strategy decides more integration outcomes than coverage counts do. A feed that covers 3,878 indexes is worthless to you if joining its rows to your security master requires a mapping table you have to buy separately or maintain by hand.

AmericanETP includes Bloomberg FIGIs in the constituent holdings files, and also documents its Bloomberg-Extensions handling. FIGIs are an open identifier standard, which means the join key travels: you can match holdings rows against other feeds without acquiring a proprietary symbology licence to act as the bridge.

The general pattern with platform vendors is that they carry their own entity and security identifiers alongside public ones, and that mapping is a real line item in integration cost, not a rounding error. Confirm with FactSet which identifiers your contract permits you to extract and store, because the answer to that question shapes your warehouse design more than any feature on a datasheet.

Point-in-time history is the other reproducibility question, and it is the one backtests live or die on. AmericanETP archives constituent list datafiles back to July 2009, which means you can retrieve the membership as it stood on a given date rather than reconstructing it from change events. A membership series rebuilt from today's index and rolled backwards silently drops the deletions, and a strategy tested on the survivors looks better than it was.

This matters for any aggregate you compute from membership. Index-level valuation ratios are the clean example: the number depends entirely on which names were in the basket and at what weights on the date in question, as worked through in Build the P/E Ratio S&P 500.

Verdict on identifiers and history: if your work has to be reproducible against a dated membership snapshot, buy the archive and the open identifiers. If your work is forward-looking analysis inside a single vendor's model, the proprietary identifier is not a problem you need to solve.

What does FactSet cost per month in 2026?

There is no published per-seat FactSet price to quote, and any specific monthly figure you find circulating online is secondhand. The comparison pages that rank for this query do include pricing sections for each platform (Wall Street Prep, read 9 September 2026), but a per-seat rate card issued by the vendor was not verifiable from the sources available for this article, so no number is stated here.

That is not evasion, it is the actual structure of the market. Terminal-class platforms are sold as negotiated agreements where the price depends on seat count, contract term, which data modules are entitled, whether you may extract and store data, and whether you may redistribute anything derived from it. Two firms with the same seat count can pay materially different amounts, which is exactly why no rate card exists to publish. The longer treatment, including how to read the ranges that circulate publicly, is in FactSet Pricing: What It Costs in 2026.

AmericanETP's price is published in full because it can be: $1,500 per year or $150 per month for an individual, and $2,500 per year or $250 per month firm-wide. There are no seats to negotiate and no module list, which is a consequence of the product covering one domain rather than nine.

What a licence actually governs

The headline number is rarely the expensive part of a data agreement. What governs your real cost is the licence terms: how many named users, whether service accounts count as users, whether you may store extracted data, whether you may compute derived works, and whether anything may reach an external client or a public-facing product.

If you are a fintech team, redistribution is the clause that decides your architecture, and it should be confirmed in writing before any technical evaluation begins. Ask procurement to compare the two agreements clause by clause on storage, derived works and redistribution rather than on monthly cost.

Verdict on cost: compare a flat published subscription against your negotiated enterprise renewal on a per-line-item basis, not headline to headline. The question is what the platform charges you for the constituent data specifically, and that is a question only your own contract can answer.

Which one fits which desk

The verdict is different for each desk, and in several cases the answer is both. Below is the mapping by use case.

• Quant research team that needs reproducible daily membership and nothing else. The narrow feed, with the platform contract avoided or trimmed at renewal. FIGIs, the July 2009 archive and a fixed batch window cover the requirement, and the rest of a platform's breadth is unused capacity you are paying for.
• Sell-side coverage team living in models, estimates and transcripts. FactSet, unambiguously. Nothing in a constituent feed touches that workflow, and a comparison that pretends otherwise is not a comparison.
• RIA needing client reporting alongside holdings. A platform or a dedicated wealth system, with a constituent feed as a supplement where you need clean daily ETF holdings for look-through exposure reporting.
• Fintech team building a product on holdings data. File delivery with open identifiers, subject to explicit redistribution rights confirmed in writing. Buy the terms before you buy the data.
• Exchange or data vendor doing index QA. A second independent constituent source is the point, not a cheaper first one. Two feeds that disagree on a reconstitution day tell you something a single feed never will.

The case for running both is stronger than the case for either purism. A firm that keeps its platform contract for research and moves production membership data to a file feed is not saving the cost of the platform, it is removing one dependency from a critical path and getting a second opinion on the data at the same time. Whether that trims the renewal depends on how your contract is structured, which is the point of auditing entitlements before renewal rather than after.

If you are running that audit now, FactSet Alternatives: 2026 Options covers the broader landscape by use case, and FactSet Review 2026 covers what the platform is strongest at.

Verdict overall: FactSet for the desk that thinks in questions. A constituent feed for the system that thinks in rows.

How to evaluate either one before you sign

A five-day parallel run answers more than any feature matrix, and both vendors can be held to the same protocol. Run it before the contract, not after, and run it against a source neither vendor controls.

The protocol is short:

• Reconcile a week of holdings against the fund sponsor's own published file for a handful of ETFs across structures: a plain large-cap fund, a leveraged product, and a fund holding foreign lines. Count exact matches, weight mismatches and missing rows separately.
• Count divergences on a reconstitution day. Quiet Tuesdays agree. Effective dates are where vendors differ, and where a difference costs you a trade.
• Time file or query arrival against your batch window every day of the run, not on average. One late arrival in five tells you what your fallback needs to do.
• Check corporate action handling on a real event: a spinoff, a ticker change and a merger completion. Confirm whether identifiers persist through the event, since a broken join is worse than a missing row because nothing alerts on it.
• Confirm redistribution and storage rights in writing before technical scoring, because a feed that fails this test cannot be used regardless of data quality.

Two operational questions belong in the same conversation. Ask what the escalation path is when a file is wrong rather than missing, and ask what happens on a missed publication: whether you are notified, whether a corrected file is republished, and how you distinguish a correction from a legitimate intraday change.

You can start that reconciliation against AmericanETP's Downloads page, and take contract and redistribution questions to Contact.

FAQ

Who is FactSet's biggest competitor?

The comparison set the market uses is Bloomberg, Capital IQ and Refinitiv Eikon, which is exactly how the highest-ranking comparison page for this category frames it (Wall Street Prep, read 9 September 2026). Which of those is the "biggest" competitor is not something that can be answered from public sources without market share data, and no such figure is stated here.

For a narrower requirement the competitive set is different. If all you need is daily index and ETF constituents, the relevant alternatives are file and feed vendors rather than terminals, and the comparison turns on delivery, identifiers and history depth rather than platform breadth.

Which is better, Bloomberg or FactSet?

Neither is better in general, and the honest answer depends on the desk. Both appear in the same comparison set for institutional research platforms, and public comparison pages evaluate them on workflow fit rather than declaring a winner (Wall Street Prep, read 9 September 2026).

The useful way to run that decision is to list the five things your team does daily and score both against those, then compare the contract terms on storage, extraction and redistribution. Feature parity is common at this tier; licence terms are where the real difference usually shows up.

Does JP Morgan use FactSet?

Customer relationships at named institutions are not something that can be verified from the sources read for this article, so no claim is made here either way. Large banks typically hold multiple data contracts at once, with different desks entitled to different platforms.

If the question behind this one is whether a platform is credible at institutional scale, the more reliable test is your own reconciliation run rather than another firm's logo.

Why is FactSet's stock falling?

Share price movements and their causes are not covered by any source available for this article, and stating a reason from memory would be a guess. Check current filings and price data directly before relying on any explanation you read.

For a data buyer, the more relevant question is contractual rather than financial: what your renewal terms are, what your entitlements cover, and what your fallback is if a dependency changes.

How much does a FactSet license cost per month?

No published per-seat monthly figure was verifiable from the sources read on 9 September 2026, and the figures circulating publicly are secondhand estimates rather than vendor rate cards. Platform pricing at this tier is negotiated on seats, term, modules and redistribution rights, which is why no fixed number exists to publish.

AmericanETP publishes its price in full for contrast: $1,500 per year or $150 per month for an individual, $2,500 per year or $250 per month firm-wide. The detailed discussion of how platform cost ranges are constructed is in FactSet Pricing: What It Costs in 2026.

Can AmericanETP replace a FactSet subscription?

Only if constituent data is the sole reason you hold the subscription. AmericanETP covers index and ETF membership, ETF descriptive fundamentals, FIGIs in holdings files and archives back to July 2009, and covers nothing else: no estimates, no transcripts, no attribution, no screening.

For most firms the accurate framing is replacing a line item rather than a platform. A quant desk that only consumes daily membership can move that dependency out and keep the rest, or drop the platform entirely if nothing else in it is being used.

If daily index and ETF constituents are the line item you are trying to source cleanly, review the file formats, the twice-daily schedule and the archive at americanetp.com and run a five-day reconciliation against your current source before you renew anything.