Data as of Oct 14, 2026Based on 61 AI responses
Reviewed by Dimitry Apollonsky
AI summary
PublicComps holds a clear lead, earning frequent mentions for fast and clean public comps in software and SaaS. Answers otherwise point to institutional platforms like FactSet when analysts need broader market data and valuation depth.
Rank and Mentioned in · since Jul 5
| # | Brand | Recommended for | Mentioned in |
|---|---|---|---|
| 1 | fast and clean public benchmarking for software and SaaS businesses | fast and clean public benchmarking for software and SaaS businesses | 62% |
| 2 | institutional valuation modeling combined with broad financial datasets | institutional valuation modeling combined with broad financial datasets | 49% |
| 3 | an affordable and visual terminal alternative for quick equity screening | an affordable and visual terminal alternative for quick equity screening | 38% |
| 4 | 33% | ||
| 5 | 33% | ||
| 6 | benchmarking private company growth and valuations against public peers | benchmarking private company growth and valuations against public peers | 25% |
| 7 | advanced screening tools and pre-built comps for valuation models | advanced screening tools and pre-built comps for valuation models | 23% |
| 8 | pre-built competitor spreadsheets and expert-curated industry comps | pre-built competitor spreadsheets and expert-curated industry comps | 21% |
| 9 | real-time market data retrieval through dedicated Excel add-ins | real-time market data retrieval through dedicated Excel add-ins | 20% |
| 10 | a free benchmarking tool offering curated datasets for tech M&A | a free benchmarking tool offering curated datasets for tech M&A | 16% |
| 11 | 15% | ||
| 12 | 10% | ||
| 13 | 10% | ||
| 14 | 8% | ||
| 15 | 7% |
Week of Sep 21–27 · Since Jul 5
Widest split: FactSet, 71% on ChatGPT Search and 27% on Google AI Mode.
| Brand | ChatGPT Search | Google AI Mode | Comparison |
|---|---|---|---|
| PublicComps | 58% | 67% | |
| FactSet | 71% | 27% | |
| Koyfin | 58% | 17% | |
| Capital IQ Pro | 35% | 30% | |
| S&P Capital IQ Pro | 39% | 27% | |
| Grata | 10% | 40% | |
| PitchBook | 35% | 10% | |
| AlphaSense | 3% | 40% | |
| Bloomberg | 32% | 7% | |
| Multiples | 23% | 10% |
60% of citations point at the ranked brands’ own sites. parse.gl is the most-cited site outside the ranked brands’ own domains.
Market map
Mentioned in · since Jul 5
Leading brands by topic
Google AI ModeOct 13, 2026
When you need to benchmark public companies cleanly and quickly, the best tool depends on your specific sector focus and workflow depth. Several modern platforms stand out for replacing tedious manual spreadsheet updates with instant, structured comps tables:
To help narrow down the ideal choice, let me know:
ChatGPT SearchOct 13, 2026
ChatGPT SearchOct 4, 2026
What are the best tools for quickly generating clean performance comparisons against public company peers?
As a credit analyst, where can I find reliable industry data and benchmarks for my analysis?
If you want to benchmark public companies quickly using trading comparables (“comps”), I’d evaluate tools on three things: speed to a defensible peer set, clean financial data, and how easily you can export a valuation-ready table.
The key distinction is whether you want a lightweight tool for a quick valuation or a professional platform for investment banking, private equity, or public-market research.
1. S&P Capital IQ Pro
(Institutional workflow)
Strong fit for investment banking-style public comps: standardized financials, consensus estimates, valuation multiples, peer screening, and linked Excel modeling.
Best for: defensible, presentation-ready analysis.
2. Koyfin
Good for fast public-market screening, comparing fundamentals, and reviewing historical valuation trends without immediately jumping into a full enterprise workflow.
Best for: speed, exploration, and recurring market research.
3. FactSet Workstation
Offers public-company data, comparable-company analysis, precedent transactions, and valuation benchmarking, with integration options for established investment workflows.
Best for: institutional research and repeatable analysis across teams.
4. PitchBook
Its public-comps workflow supports peer screening, trailing and forward metrics, and exports to Excel. Particularly relevant when you need to connect public-company benchmarks with private-company valuations or deal data.
Best for: PE, M&A, and public/private market comparisons.
| If your priority is… | Start with |
|---|---|
| Clean comps for an investment-banking valuation | Capital IQ Pro |
| Quick, lightweight public-equity benchmarking | Koyfin |
| Institutional-scale data and workflows | FactSet |
| Public comps plus private-company and deal intelligence | PitchBook |
For a comps tool, the interface is only half the problem. Before relying on the output, check whether it handles these consistently:
One question to narrow this down: Are you building comps for investment-banking or M&A work, investing in public stocks, or benchmarking a private company against public peers? That changes which tool is the most practical fit.
For a credit analysis, I’d use a combination of borrower-level financial data and industry benchmarks that are traceable to primary or established sources. The strongest resources are:
| Resource | Best for | What you get | Cost |
|---|---|---|---|
| RMA Statement Studies | Commercial credit / underwriting | Industry financial ratios, quartiles, default probabilities, cash-flow measures; particularly strong for small and midsize borrowers | Paid |
| IBISWorld Financial Benchmarks | Industry benchmarking | Liquidity, leverage, coverage, operating, cash-flow/debt-service ratios, balance-sheet and income-statement benchmarks, often by company size | Paid |
| U.S. Census Business Builder | Free industry/economic context | Industry size, growth, establishments, employment, geography and economic characteristics by NAICS | Free |
| IRS Statistics of Income | Primary-source financial benchmarking | Tax-return-based industry financial statistics and ratios | Free |
| S&P Capital IQ Financials | Public-company peer analysis | Standardized and as-reported financial statements, ratios, debt/equity structure and long historical series | Paid |
| Damodaran's NYU datasets | Public-company/valuation comparisons | Industry margins, returns, leverage, valuation multiples and other corporate-finance metrics | Free |
1. Start with RMA.
If the subject is a privately held operating company, RMA is probably the most directly relevant benchmark. Its data comes from RMA member financial institutions and is specifically designed for comparative analysis of small and midsize borrowers. The current offering includes 642 industries, financial-ratio benchmarks, industry default probabilities and up to 26 years of historical data.
2. Cross-check with IBISWorld.
IBISWorld is particularly useful when you need more industry context. Its financial-benchmarking data includes liquidity, coverage, leverage, operating and cash-flow/debt-service ratios, and can be segmented by asset size. Its U.S. financial-ratio data is ultimately based on IRS Statistics of Income and Census Bureau data, with IBISWorld's methodology applied to produce industry estimates.
3. Use Census/IRS as the authoritative underlying evidence.
For a defensible analysis, primary government statistics are valuable because you can explain exactly where the benchmark originated. Census Business Builder provides downloadable industry and geographic data and supports industry selection using NAICS codes.
4. Use Capital IQ for the comparable-company set.
If the borrower is large enough to have meaningful public peers, S&P Capital IQ is excellent for constructing a peer group. Its standardized financials contain more than 5,000 financial, supplemental, segment, ratio and industry-specific data items, with substantial historical coverage.
For a traditional credit analysis, I'd build a table around:
A particularly useful feature for credit work is quartile analysis, rather than simply comparing a borrower with the industry average. For example, being at the 25th percentile for leverage and 75th percentile for coverage tells a much more useful credit story than saying "leverage is below average."
One caution: don't mix benchmark populations indiscriminately. A small private manufacturing company shouldn't automatically be compared with the median of publicly traded manufacturers. Match the borrower by NAICS, revenue/asset size, geography, business model and ownership type wherever possible.
If you give me the company's industry/NAICS code and approximate annual revenue, I can also identify the most appropriate benchmark sources and lay out a credit-analysis benchmarking template with the exact ratios and peer comparisons to calculate.
Google AI ModeOct 4, 2026
When conducting a professional credit analysis, comparing a target company's liquidity, leverage, efficiency, and profitability ratios against trustworthy industry benchmarks is essential.[](https://www.bdc.ca/en/articles-tools/money-finance/manage-finances/financial-ratios-industry-standards-entrepreneurs)
The most reliable resources for industry benchmark data are categorized below by type and accessibility:
If you'd like, let me know:
I can narrow down the best specific resource or help you outline the exact financial ratios you need to pull.
