Best Free Stock Screeners for Value Investors (2026)

Stock screeners are the starting point of every serious investor's workflow — and we've tested most of them. With thousands of publicly traded companies, you need a way to quickly narrow the universe down to a manageable set of candidates that match your investment criteria — whether that's low P/E ratios, high returns on capital, strong free cash flow, or competitive moats.

The good news: several excellent screeners are available for free or at low cost. The bad news: they're all built for slightly different purposes, and choosing the wrong one for your style wastes time. This guide compares the best options available in 2026 for value and quality investors.

What to Look for in a Stock Screener

Before comparing specific tools, it's worth defining what makes a screener useful for long-term, quality-focused investors — as opposed to day traders or momentum investors who need different features entirely.

Coverage matters — you want access to the full US-listed universe, not just a curated subset. Data quality matters — the screener should pull from authoritative sources like SEC EDGAR filings, not scraped or estimated data. Filter depth matters — basic P/E and market cap filters aren't enough; you want ROIC, free cash flow yield, debt ratios, and margin metrics. And presentation matters — can you quickly identify the most interesting opportunities, or do you drown in spreadsheet-style data?

The Top Free Stock Screeners

Finviz

Finviz is the workhorse screener that most experienced investors start with. Its free tier offers extensive filter criteria — over 60 fundamental, technical, and descriptive filters — across the entire US-listed universe. You can screen for P/E, forward P/E, PEG, P/S, P/B, dividend yield, ROE, ROI, current ratio, debt/equity, and dozens more.

Strengths: massive filter library, fast, visual heat maps, and the scatter plot view is useful for spotting clusters. Weaknesses: the free tier uses delayed data, the interface is dense and data-heavy, and it provides raw data without analytical interpretation. You get the numbers but not the insight — it's on you to figure out what they mean.

Stock Analysis

Stock Analysis has become one of the most popular free financial data platforms. It offers comprehensive financial statements, historical data going back decades, and a clean modern interface. The screener includes standard fundamental filters plus some useful additions like FCF yield and ROIC.

Strengths: excellent data breadth and depth for free, clean interface, good historical financials, and the analysis features (DCF calculator, comparison tools) are genuinely useful. Weaknesses: it's a data platform at heart — it gives you all the numbers but doesn't help you interpret them. There's no moat analysis, no quality scoring, and no analytical framework that tells you whether a company's high ROIC is likely to persist.

Simply Wall St

Simply Wall St takes a visual-first approach to stock analysis. Its signature snowflake charts present five dimensions of analysis — value, future growth, past performance, financial health, and dividends — in an immediately graspable visual format. It covers global markets, not just the US.

Strengths: beautiful visualizations that make complex data accessible, good for visual learners, and the global coverage is useful for international investors. Weaknesses: the free tier is very limited (a handful of reports per month), the analytical framework is fairly surface-level, and the visual simplicity can obscure important nuances. There's no moat analysis or competitive advantage assessment.

Morningstar

Morningstar is the gold standard for moat-based investing analysis. Their analyst team assigns moat ratings (Wide, Narrow, None) based on deep qualitative research, and their fair value estimates are among the most respected in the industry. The free tier gives you access to basic stock pages with analyst ratings.

Strengths: best-in-class moat research from human analysts, decades of track record, and the Star Rating system (combining moat with valuation) is a proven framework. Weaknesses: the free tier is severely limited — most moat analysis, fair value estimates, and detailed research are locked behind the Premium paywall at around $35 per month. The screener functionality in the free tier is basic.

MoatScope

MoatScope takes a different approach from the platforms above. Rather than competing on data breadth, it focuses on the analytical layer: AI-powered moat ratings, a seven-pillar quality scoring system, and three-tier fair value estimates based on owner earnings. Every stock is mapped on a Quality × Valuation scatter plot that makes it visually obvious which companies combine high quality with attractive pricing.

Strengths: the scatter plot is genuinely unique — no other free tool maps quality against valuation in a single visual. The moat analysis includes specific moat source identification (switching costs, network effects, etc.) and AI-generated reasoning. The free tier covers the S&P 500 with full quality and valuation data. Weaknesses: narrower universe than Finviz or Stock Analysis (focused on investable US common stocks, not the full 10,000+ ticker universe), and as a newer platform, it doesn't have the decades of historical analyst coverage that Morningstar offers.

Which Screener Should You Use?

The honest answer: probably more than one. Each tool has a genuine strength that the others lack, and they complement each other well.

Use Finviz for broad quantitative screening when you want to cast a wide net across the full market with specific numerical criteria. Use Stock Analysis when you need deep historical financials and want to build your own DCF or compare metrics across companies. Use Morningstar when you want the most rigorous human-generated moat analysis, and you're willing to pay for Premium access.

Use MoatScope when you want the quality-and-valuation framework as your primary lens — when your investment philosophy starts with "find high-quality businesses at reasonable prices" and you want a tool built specifically for that workflow. The scatter plot surfaces opportunities that you'd miss scrolling through spreadsheet-style screeners, because it shows the two dimensions that matter most — quality and valuation — simultaneously.

A Workflow for Quality Investors

Here's a practical combined workflow. Start with MoatScope's scatter plot to identify stocks in the high-quality, undervalued quadrant. Check the moat rating, quality score, and fair value range. If a company looks interesting, pull up its full historical financials on Stock Analysis for a deeper dive into trends. Cross-reference with Morningstar's analyst opinion if you have Premium access. Use Finviz to check any technical or sentiment factors before making your final decision.

The key insight is that no single tool does everything well. Data platforms like Stock Analysis and Finviz give you the raw numbers. Analytical platforms like Morningstar and MoatScope help you interpret them. The best investors use both types — data for completeness, analysis for direction.