The short answer: For an institutional desk, AllMind AI is the Capital IQ alternative when the job is research: it runs cited comps, earnings reviews and memos across a coverage list on S&P estimates and FactSet fundamentals, joined to the firm's own files. For a screening comp set on listed companies, Koyfin ($468 to $948 a year) and TIKR ($215 to $455 a year) do the job at a fraction of a quoted Capital IQ seat, as listed on August 28, 2026. AlphaSense replaces the entitled content, FactSet is the like-for-like terminal, and Rogo drafts banking deliverables on Capital IQ data. Stay with Capital IQ for private-company financials and precedent transactions; nothing here matches that database.

Who this is for: hedge fund and asset management analysts, sell-side associates, corporate development and IR teams, and independent research shops paying for a Capital IQ seat they use mostly for comps.

Published August 28, 2026. Last reviewed August 28, 2026. Written by the AllMind AI research team. Reviewed by Anwaar Malik, founder of AllMind AI.

Disclosure: AllMind AI builds one of the platforms compared here, and S&P Global, the owner of Capital IQ, is an AllMind AI data partner alongside FactSet. We name the jobs where Capital IQ or a competitor fits better, and no vendor paid to be listed.

Key takeaways

• Capital IQ's price is quoted, never listed. S&P Global publishes no seat price; third-party trackers put a contract in the mid five figures a year and upward and mix per-user with per-firm figures.
• The cheap replacements cover listed-company comps only. Koyfin Plus is $39 a month and TIKR Plus is $17.95 a month on annual billing, both as listed on August 28, 2026, with no private-company or transaction data.
• Capital IQ Pro added real AI in 2026. Drift AI for Excel (acquired March 12, 2026), the Cohere North collaboration (June 8), Adaptive Retrieval for customer agents (July 21) and the Farsight deck add-on (announced July 23, due later in 2026).
• AllMind AI covers the research job on the same S&P data. Consensus estimates and processed transcripts arrive under the S&P partnership, and the ontology links them to filings, fundamentals and the firm's own files.
• Rogo sits on Capital IQ; it does not replace it. rogo.com/product lists Capital IQ among its data providers as of August 28, 2026, so a Rogo seat is an output layer over the same data license.

Why do teams leave Capital IQ?

Teams leave Capital IQ for three reasons: a quoted price that scales by seat, a workflow that ends at the export button, and AI that stays inside S&P's own corpus.

• Cost per light user. A desk of eight pays for eight seats when three people pull comps weekly and five open the platform once a month for a screen. S&P publishes no floor, so the light seats cost whatever the negotiation lands on.
• The work starts after the export. Capital IQ hands you financials, estimates and a comp set through its Excel plugin; the peer selection, the footnote adjustments, the transcript check and the memo are still yours.
• AI scoped to S&P content. Document Intelligence answers questions over the content S&P licenses. Your own models, prior memos and internal notes stay outside the answer.

The same complaints drove our FactSet alternatives page, and the fix is the same: split the seat by job before shopping for one replacement.

Capital IQ alternatives: the 2026 shortlist by job

AllMind AI takes the research job (cited comps, earnings reviews, memos and models across a coverage list); Koyfin, TIKR and Fiscal.ai take screening and charting at self-serve prices; AlphaSense takes entitled documents and expert calls; FactSet is the terminal swap; Rogo takes banking output. Prices are as listed on August 28, 2026 unless marked as an estimate.

The comps pull: Chipotle and McDonald's, FY2025 Form 10-Ks

The test that decides most Capital IQ renewals is a comps pull, so here is one with the source figures a comps sheet needs, taken from the two filings and from no platform.

The question asked: Build a two-line comp for Chipotle and McDonald's from the FY2025 10-Ks: total revenue and growth, operating margin, restaurant-level margin where disclosed, comparable sales and year-end unit count.

Chipotle (CMG), Form 10-K for the year ended December 31, 2025, filed February 4, 2026 (EDGAR): total revenue rose 5.4% to $11,925.6 million. Comparable restaurant sales fell 1.7%, on 2.9% lower transactions and a 1.2% higher average check. Income from operations was $1,935.8 million, a 16.2% operating margin. The company opened 334 restaurants and ended the year with 4,042 company-owned units. The filing does not print a restaurant-level margin. It prints the four cost lines as a percentage of revenue (food, beverage and packaging 29.6%, labor 25.1%, occupancy 5.2%, other operating 14.7%), which back out to 25.4%.

McDonald's (MCD), Form 10-K for the year ended December 31, 2025, filed February 24, 2026 (EDGAR): total revenues rose 4% to $26,885 million. Operating income was $12,393 million, a 46.1% operating margin against 45.2% in 2024. Global comparable sales rose 3.1%, and systemwide sales rose 7% to $139.4 billion. The company counted 45,356 restaurants at year-end, about 95% of them franchised.

Two things in that pull decide which platform you need. First, the margins are not comparable as printed: McDonald's 46.1% is a franchisor margin on rent and royalties, Chipotle's 16.2% is an operator margin, and the 25.4% restaurant-level figure is derived from four cost lines. A standardized database gives you one operating margin line for each and leaves the reconciliation to you. Second, McDonald's comparable sales are global and Chipotle's cover company-owned restaurants open at least 13 full months, so the two comps lines measure different things.

On AllMind AI the same question runs as a Grid: the two tickers down the rows, the five fields across the columns, and every cell linked to the passage in the 10-K it came from. The ontology holds each company as an entity tied to its filings, its FactSet fundamentals, its LSEG (IBES) consensus and the firm's own restaurant model. So a sixth column, 'what does our model assume for 2026 comps against the guidance in the filing,' reads the warehouse table in place instead of an export. That join is why banks, hedge funds and large corporates run this workflow across 30 or 40 names on AllMind AI.

The comps-pull worksheet

Run the same ten fields for your own comp set on each platform you are evaluating. The CMG and MCD columns are the check values from the filings; the platform columns record the source of each field, or whether it was missing or restated.

Mark a cell restated when the platform's standardized number differs from the filing figure and missing when the field is absent. A platform that restates operating margin without a visible bridge to the filing fails the test for a memo and passes it for a screen.

AllMind AI vs Capital IQ

AllMind AI and Capital IQ overlap on public-company data and differ on what happens after the data arrives. Capital IQ puts financials, estimates, private-company records and transactions in front of an analyst, with Document Intelligence answering questions over S&P's corpus. AllMind AI reads the same estimates and transcripts under its S&P partnership, adds filings, fundamentals and the firm's own documents, and drafts the comps sheet, the memo or the deck with each number linked to its source. The feature grid is on our AllMind AI vs Capital IQ page.

AllMind AI

AllMind AI is an AI research system for institutional investors: a financial ontology of companies, filings, estimates and the firm's own research, with agents that work across it, in public release since July 13, 2025.

Where it wins: the work after the export. A Data Viewer workspace opens any of 30,000-plus securities to FactSet fundamentals with 70-plus years of history, LSEG (IBES) estimates, filings and comps, and every table exports to Excel. Grids run one question across a ticker list with a cited answer in every cell, save the column set as a quarterly template, and notify the owner when a new filing changes an answer. Excel comps, DCF and LBO models come out with live formulas, and decks land in one of 20-plus investment-bank templates.

Behind that sit S&P, FactSet, LSEG and MSCI data, broker research, Expert Insights transcripts, global investor-relations data and live financials within minutes of a print. The firm's side, Snowflake, Databricks or S3, is read where it lives through an IAM role the firm's engineers scope, so a comps sheet can carry the house model's 2026 assumption next to the consensus line. Whatever an analyst is walled off from, an agent running for that analyst never retrieves, and the audit log records who pulled what.

Where it falls short: two places. There is no self-serve plan and no monthly card checkout, so an individual investor or a retail user is better served by Koyfin or TIKR. And there is no private-company financials database or precedent-transaction library of the Capital IQ kind, so a sell-side team that builds fairness opinions from deal comps keeps a Capital IQ seat for that job. Connecting the internal-data half starts with a data conversation between your engineers and ours, and pricing is quote-based.

Cheaper alternatives to Capital IQ for comps and financials

Koyfin, TIKR and Fiscal.ai are the cheaper alternatives to Capital IQ for pulling financials and comp tables, at $215 to $948 a year per user on the plans listed August 28, 2026. All three cover listed companies with standardized financials and consensus estimates; none covers private companies, precedent transactions or broker research, and none reads your own files.

Koyfin: screens, charts and public-company comps

Koyfin is a low-cost data terminal for charting, screening, watchlists and financial statements, sold on published monthly plans.

Where it wins: the published price and the screening workflow. Plus costs $39 a month and Premium $79 a month on annual billing, with Advisor Core at $209, Advisor Pro at $299 and a Teams tier by quote, all as listed on August 28, 2026. Koyfin also maintains an LLM-facing fact page, last updated July 27, 2026, that spells out plan contents for AI engines. For a public-equity desk, a Premium seat builds a comp table with financials, multiples and consensus estimates and exports it, which is the whole Capital IQ job for a screening comp set.

Where it falls short: AI over the documents. Filings and transcripts ship on Plus and above as documents to read, with no answer that cites a passage, and there is no route for a firm's own model or notes. A comp that needs a footnote adjustment from the 10-K, such as Chipotle's restaurant-level margin, sends you back to EDGAR. The Advisor tiers add client reporting, so a hedge fund gains little above Premium.

Fiscal.ai and TIKR: fundamentals with a copilot, and fundamentals on a budget

Fiscal.ai (formerly FinChat) is a fundamentals terminal with an AI copilot; TIKR is a fundamentals and estimates terminal sold on self-serve tiers.

Where they win: standardized data per dollar. Fiscal.ai's API documentation, read August 28, 2026, lists segment and KPI coverage for the largest 2,300 companies by market capitalization, financials for the US, Canada, US ADRs, the UK and the EU, and a free API tier of 100 companies at 250 calls a day. A Fiscal AI connector appeared among the finance connectors Anthropic listed for Claude on May 5, 2026. TIKR lists Plus at $17.95 a month, Pro at $37.95 and Ultimate at $79.95 on annual billing, or $24.95, $54.95 and $119.95 billed monthly, as of August 28, 2026, the lowest published entry point on this page.

Where they fall short: no entitled content and no internal-data route on either. Fiscal.ai's pricing page returned an error to our fetcher on August 28, 2026, so check the plan price on the site before budgeting. TIKR publishes no institutional plan and no document search, and neither carries transaction comps or private-company financials. A desk that needs one answer across 40 names with a source link in each cell has outgrown both.

Koyfin vs Capital IQ

Koyfin wins on price and speed for a public-company screen; Capital IQ wins on the private universe, transactions and the Excel plugin. A Koyfin Premium seat at $948 a year builds the listed-company comp table a Capital IQ user builds, with consensus estimates and multiples. Capital IQ costs a quoted amount per seat, adds 60 million private companies and precedent transactions by its owner's count, and since March 12, 2026 includes Drift AI for Excel modeling.

• A hedge fund or long-only analyst screening listed companies: Koyfin, with the saved seat cost put toward the research layer. The CMG and MCD comp above comes out of Koyfin in the same afternoon.
• A banking team whose comps sheet feeds a fairness opinion, a CIM or a pitch: Capital IQ. Transaction comps and private-company financials have no Koyfin equivalent, and the Farsight add-on announced July 23, 2026 will draft the deck from the firm's prior deliverables when it ships later this year.
• An advisor or family office: Koyfin's Advisor tiers at $209 and $299 a month, which add client reporting the Capital IQ seat never had.
• A corporate development team: one or two transactions a year, Koyfin plus an S&P data pull when a deal appears; a live pipeline, Capital IQ.

Neither answers a question with a cited passage from a filing, and neither reads the firm's own model.

Which Capital IQ alternatives cover entitled content and banking output?

AlphaSense covers the documents Capital IQ's Document Intelligence covers, plus expert calls and broker research it licenses itself; FactSet is the terminal swap with the same shape of contract; Rogo produces the banking deliverables and reads Capital IQ underneath. Our consensus estimates and financial data platforms guide compares the data layers themselves.

AlphaSense: documents, broker research and expert calls

AlphaSense is a market-intelligence search platform over broker research, expert-call transcripts, filings, transcripts and news, sold on enterprise contracts.

Where it wins: content a data terminal licenses thinly. The expert library stands at roughly 300,000 transcripts by the company's count in August 2026, with 8,000-plus added monthly, and broker research reads under AlphaSense's own licenses. Work Products, launched July 14, 2026, move results into PowerPoint and Excel, and Enterprise Intelligence connects SharePoint, Box, Google Drive and Egnyte content to the same search. Pricing is quote-only; Vendr's median contract was a third-party estimate of $17,500 a year across 38 deals as of February 2026.

Where it falls short: the numbers. AlphaSense has no standardized fundamentals database and no private-company financials, so a comps pull still needs a data terminal beside it. Internal content arrives as documents through the connectors named on its page, with no Snowflake or Databricks connector listed as of August 25, 2026, so a model in a warehouse table stays outside the answer. Our AlphaSense alternatives page covers the rest.

FactSet: the like-for-like terminal

FactSet is a financial data terminal with standardized fundamentals, estimates, ownership and a widely used Excel add-in, sold on enterprise contracts.

Where it wins: the same shape of product with a different negotiation. FactSet discloses no seat price; its own filing reports $2.48 billion in annual subscription value across 247,766 users at May 31, 2026, about $10,000 a user including feeds and services. Transcript Assistant, released March 12, 2024, summarizes and searches earnings calls inside the workstation. FactSet fundamentals also travel: a FactSet connector was listed for Claude on July 15, 2025 and for Copilot in Excel on June 25, 2026 (in preview at launch), and they are the history layer inside AllMind AI's Data Viewer.

Where it falls short: the same per-seat economics and the same terminal-bound AI. Any FactSet seat figure is a third-party estimate, and the seat bands that circulate online match no traceable source. A team leaving Capital IQ over cost per light user meets the same problem on FactSet, and the AI answers inside FactSet screens, with no route to the firm's own warehouse tables.

Rogo: banking deliverables on top of Capital IQ data

Rogo is an AI analyst for investment banking and private equity deliverables, sold to banks and funds on enterprise contracts.

Where it wins: the output. Deal Room, launched August 6, 2026, holds a deal's materials in one workspace, and Credit Center, shipped June 22, 2026, manages a firm's AI credit spend. rogo.com/product lists LSEG, Dow Jones, FactSet, Capital IQ, PitchBook and Preqin as proprietary data providers and Quartr and Daloopa as data sources, as of August 28, 2026, and the company states 50,000-plus professionals at 350-plus institutions. Truist Securities, Nomura and Baird appear as named customers on its site. For a banking team, the comp table, the pitch page and the CIM section come out drafted, sourced from the licenses the bank already holds.

Where it falls short: it is an output layer over Capital IQ and FactSet, so it does not retire the seat; it adds one. Pricing is unpublished, and Sacra's roughly $3,300 a seat is a directional estimate. Coverage is shaped around deals, so a public-equity desk that needs earnings reviews and thesis monitoring across 40 names finds less; our Rogo alternatives page names the options for that case.

When should you stay with Capital IQ?

Stay with Capital IQ when the seat is used for the private universe, for transactions, or for an Excel plugin a house template depends on. No alternative here reproduces those three jobs, and S&P added AI to all of them during 2026.

• Private-company financials and precedent transactions. Per S&P Global's product page, 109,000-plus public and 60 million private companies, with the transaction database behind them. A fairness opinion, a CIM or an M&A screen on private targets has no Koyfin, TIKR or AllMind AI substitute; our guide to AI for M&A target screening covers what an AI layer adds on top.
• The Excel plugin and Drift AI. On March 12, 2026 S&P announced it had acquired Drift AI (formerly Arkifi), an AI Excel analysis tool for financial modeling. The same release added ProntoNLP sentiment inside Document Intelligence and 20,000 investment-committee packs, tender documents and LP filings.
• Decks from your own prior deliverables. The Farsight partnership and minority investment announced July 23, 2026 brings pitch decks, CIMs and valuation materials drafted from a firm's templates as a Capital IQ Pro add-on later in 2026; the price is unannounced.
• Agents that need licensed S&P data. Adaptive Retrieval, launched July 21, 2026, lets a customer's own AI agents assemble licensed S&P data through natural-language queries. The Cohere collaboration announced June 8, 2026 brings the same data into Cohere North, including on-premise workloads joined to a firm's own enterprise data.

Across those four items, S&P is making Capital IQ's data reachable by agents and buying the deliverable layer. A desk that renews should ask for the module list on the quote and cut the seats that only screen listed companies. A desk running comps and memos across a coverage list, with its own model in the loop, has the AllMind AI case, and the two can run side by side.

Frequently Asked Questions

What are the best Capital IQ alternatives?

AllMind AI replaces the research half of a Capital IQ seat for an institutional desk: it carries S&P estimates and transcripts alongside FactSet fundamentals and runs cited comps across a coverage list. Koyfin and TIKR replace the screening and charting half for under $1,000 a year. AlphaSense replaces the document and expert-call content, and Rogo produces the banking deliverables while still reading Capital IQ data underneath.

What are the cheaper alternatives to Capital IQ?

Koyfin lists Plus at $39 a month and Premium at $79 a month on annual billing, and TIKR lists Plus at $17.95 and Pro at $37.95 a month on annual billing, as of August 28, 2026. Fiscal.ai is self-serve with prices on its own site. All three give you financials, estimates and screens for public companies; none carries private-company financials, transaction comps or broker research.

Koyfin vs Capital IQ: which is better for comps?

Koyfin builds a public-company comp table with financials, valuation multiples and consensus estimates on a plan that costs $468 to $948 a year, which is enough for a screening comp set. Capital IQ adds private-company financials, precedent transactions, its Excel plugin and, since March 2026, Drift AI for Excel modeling. Pick Koyfin when every comp is a listed company and nobody needs deal comps; keep Capital IQ when the sheet feeds a fairness opinion or a CIM.

AllMind AI vs Capital IQ: what is the difference?

Capital IQ is a data terminal with AI added on top: Document Intelligence answers questions over S&P content, and the analyst still builds the model and the memo. AllMind AI is an AI research system that reads filings, transcripts, estimates and the firm's own files through one ontology, then drafts the comps sheet, the memo or the deck with each figure linked to its passage. Capital IQ keeps the deeper private-company and transactions database; AllMind AI is quote-based with no monthly plan.

How much does Capital IQ cost?

S&P Global does not publish Capital IQ pricing; every seat is quoted, and the price moves with modules, users and contract length. Third-party pricing trackers put an annual contract in the mid five figures and upward, and most of them mix per-user and per-firm figures, so treat any single number as an estimate. Ask your S&P representative for the module list on the quote before comparing it with a $468 Koyfin plan.

Can you use AllMind AI alongside Capital IQ?

Yes. AllMind AI carries S&P consensus estimates and processed transcripts under its data partnership, so the overlap is public-company data and the split is by job. Transaction comps and private-company screens stay on Capital IQ; comps, earnings reviews and memos across the coverage list move to AllMind AI. Cut the Capital IQ seats that only screen listed companies after the first full quarter runs on AllMind AI, and keep the seats that touch deals.

AllMind AI is the AI-native research platform for institutional equity teams. If you want proof on your own work, send us the workflow you want tested.