How to Master Greenblatt Stock Screener [Step-by-Step Guide]
The Greenblatt stock screener is the practical application of Joel Greenblatt's magic formula: a systematic method for ranking every stock in your universe by the combination of how cheap it is (earnings yield) and how good the underlying business is (return on capital). Greenblatt introduced this framework in "The Little Book That Still Beats the Market" and backed it with 17 years of U.S. equity data showing annualized returns of roughly 30.8% compared to 12.4% for the S&P 500 over the same period. This guide shows you exactly how to set up, run, and interpret the Greenblatt stock screener step by step.
Key Takeaways
- The Greenblatt stock screener ranks stocks on two factors simultaneously: earnings yield (EBIT / enterprise value) and return on capital (EBIT / tangible capital employed), then adds those ranks for a combined score.
- Stocks with lower combined scores are the candidates; a combined rank of 10 (5th on each factor) beats a combined rank of 40 (20th on each).
- Greenblatt's back-test ran from 1988 to 2004 on the top 3,500 U.S. stocks by market cap and excluded financials and utilities entirely.
- The strategy requires an annual rebalance and a portfolio of 20 to 30 names to achieve the diversification the statistical edge depends on.
- Applying a margin of safety check and a balance-sheet quality filter on top of the Greenblatt ranking reduces the number of value traps in the final list.
- ValueMarkers tracks all Greenblatt-relevant metrics across 73 exchanges, so you can run the same ranking on European or Asian universes without switching tools.
Understanding What Greenblatt Was Solving
Before setting up any screen, understand the problem Greenblatt identified. Standard P/E ratios miss two things. First, they ignore debt: a company with $1 billion of market cap and $2 billion of debt has the same market-cap P/E as a debt-free company trading at the same earnings, yet the leveraged one is far riskier. Second, they say nothing about business quality: a stock trading at 10x earnings is only attractive if the business actually earns good returns on the capital it deploys.
The Greenblatt stock screener solves both problems by using enterprise value in the denominator of the valuation metric and by including return on capital as a co-equal ranking factor. The result is a screen that seeks companies that are both cheap relative to their true economic value and genuinely good at compounding returns.
Step 1: Build the Initial Universe
Go to ValueMarkers' guru tracker and set the following parameters before applying any factor ranking.
Market capitalization: Set the floor at $300 million. Greenblatt used $50 million in 2006 dollars, but execution costs on very small stocks erode paper returns. At $300 million you retain meaningful small-cap exposure while keeping bid-ask spreads reasonable.
Sector exclusions: Remove all financial sector companies (banks, insurance, real estate investment trusts, asset managers, brokerage firms) and utilities. These two sectors use capital in ways that make EBIT-to-tangible-capital ratios incomparable with industrial or consumer businesses.
Data completeness: Require at least three consecutive years of EBIT history. One-year EBIT data misses cyclicality; a steel company in a boom year looks exceptional on return on capital and misleadingly attractive on earnings yield.
| Universe Parameter | Setting | Reason |
|---|---|---|
| Market cap floor | $300 million | Execution cost protection |
| Financials | Excluded | EBIT / capital not comparable |
| Utilities | Excluded | Regulated capital structures distort ranking |
| EBIT history | 3 years minimum | Cyclicality visibility |
| Exchange scope | Single region per run | Avoids cross-rate distortion in EV calculation |
Step 2: Calculate Earnings Yield
Earnings yield is EBIT divided by enterprise value. Enterprise value is market capitalization plus total debt minus cash and cash equivalents. This is the denominator that separates the Greenblatt screen from a simple P/E sort.
The calculation matters most for capital-heavy businesses. Take a manufacturer with $200 million of EBIT, $1.5 billion of market cap, $800 million of debt, and $100 million of cash. Enterprise value is $2.2 billion. Earnings yield is 200/2200, about 9.1%. A naive P/E calculation using the same $200 million of EBIT (approximating net income for illustration) divided by the $1.5 billion market cap gives 13.3%, substantially higher. The P/E flatters the company; the enterprise-value-based earnings yield gives a truer picture of what you are actually paying for the whole business.
In ValueMarkers' screener, the EBIT / EV ratio is available as a direct filter. Set a minimum earnings yield of 5% as the entry gate. This removes the most expensively priced 40% to 50% of the market before ranking begins.
Step 3: Calculate Return on Capital
Return on capital in the Greenblatt framework is EBIT divided by net working capital plus net fixed assets. This is intentionally narrow. It excludes goodwill, excludes excess cash, and excludes intangible assets. Greenblatt wanted to measure what the operating business earns on the physical and working capital it actually requires to run.
The exclusion of goodwill is particularly important. When one company acquires another at a premium, goodwill swells the acquirer's balance sheet but does not represent capital the business needs to operate. Including goodwill in the denominator would systematically disadvantage acquirers and make organically grown businesses look better than acquired ones regardless of actual economics.
Apple (AAPL) illustrates the metric's power. At a P/E of 28.3, Apple does not look cheap on price alone. But Apple's ROIC consistently exceeds 45%, which means for every dollar of tangible capital the business employs, it generates $0.45 of operating profit before interest and tax. That is the kind of return on capital the Greenblatt screen rewards.
Set a minimum return on capital of 15% as a floor. Anything below 15% suggests the business earns at or near its cost of capital, which limits the compounding potential the strategy relies on.
Step 4: Rank and Score Every Stock
With filters applied, you now have a shorter list of qualifying stocks. Sort this list twice: once by earnings yield from highest to lowest, and once by return on capital from highest to lowest.
Assign rank numbers starting from 1 for the best in each sort. Then add each company's earnings yield rank to its return on capital rank. The combined score is the Greenblatt rank. Lower is better.
A practical example across three hypothetical companies:
| Company | Earnings Yield | EY Rank | Return on Capital | ROC Rank | Combined Score |
|---|---|---|---|---|---|
| Company A | 12.4% | 3 | 38% | 7 | 10 |
| Company B | 8.1% | 11 | 52% | 2 | 13 |
| Company C | 14.2% | 1 | 18% | 22 | 23 |
Company A wins even though it is neither the cheapest nor the highest-quality business in isolation. The balance between the two factors is what the Greenblatt screen optimizes.
Step 5: Cross-Check with Margin of Safety
A low Greenblatt score identifies candidate stocks, not buy decisions. Before any name moves from the screener output to your watchlist, apply a margin of safety check.
Greenblatt's EBIT-based earnings yield assumes the earnings number is real and sustainable. Three checks help confirm that:
Free cash flow conversion: EBIT should convert to free cash flow at a rate above 60%. A company generating $500 million of EBIT but only $200 million of free cash flow has a 40% conversion rate. The gap usually means high maintenance capital expenditure, aggressive working capital expansion, or both. These are businesses where EBIT overstates economic earnings.
Debt serviceability: Net debt should be below 3x EBIT for most industrial businesses. Financials are excluded, but even within the qualifying universe, high leverage means the earnings yield you calculated could evaporate quickly in a slowdown.
P/B cross-check: Greenblatt's formula does not use P/B, but an unusually low P/B (below 1.0) on a company that scores well on the Greenblatt screen is a strong signal of undervaluation. Berkshire Hathaway (BRK.B) trades near a P/B of 1.5, which many value investors consider fair for the quality of the underlying businesses. A P/B of 0.7 on a Greenblatt-screened industrial suggests either a genuine bargain or an accounting problem worth investigating.
Step 6: Apply Quality Filters from the VMCI Score
ValueMarkers' VMCI score aggregates five pillars across 120+ indicators: Value (35%), Quality (30%), Integrity (15%), Growth (12%), and Risk (8%). The Quality and Integrity pillars are most relevant as a check on Greenblatt screen outputs.
The Quality pillar captures return on equity stability, gross margin trends, and cash flow consistency. A stock that scores in the top quartile of the Greenblatt screen and also scores above 70 on the VMCI Quality pillar is a stronger candidate than one that passes on earnings yield and return on capital alone.
The Integrity pillar flags earnings manipulation signals, unusual audit findings, and abnormal accruals. A company using aggressive revenue recognition to inflate EBIT will score well on the Greenblatt screen but poorly on Integrity. Filtering out stocks with Integrity scores below 50 meaningfully reduces the fraud and restatement risk in the final portfolio.
Step 7: Build a 20 to 30 Stock Portfolio
The Greenblatt stock screener is a statistical strategy, not a concentrated one. The edge comes from holding enough names that the central tendency of the combined ranking plays out over time. Greenblatt's back-test assumed approximately 30 equally weighted positions with an annual rebalance.
The annual rebalance serves two purposes. It sells names that have re-rated (become expensive relative to earnings after the market recognized value) and buys the next cohort of cheap, high-quality stocks the screen identifies. Without the rebalance, the portfolio drifts toward whatever happened to perform well last year, which is the opposite of the strategy's intent.
Tax efficiency matters here. In Greenblatt's book he suggests using a tax-aware rebalance: sell losing positions just before 12 months to capture a short-term loss deduction, and hold winning positions past 12 months to qualify for long-term capital gains treatment. This tax overlay can add 1 to 2 percentage points of after-tax return per year without changing the underlying strategy.
How the Greenblatt Screen Holds Up Against Other Methods
The Greenblatt stock screener is not the only systematic approach to value investing, and knowing where it fits helps you use it better.
| Strategy | Factors | Known Weakness | Historical Return (U.S.) |
|---|---|---|---|
| Greenblatt magic formula | Earnings yield + return on capital | Underperforms in momentum markets | ~30.8% (1988-2004, Greenblatt data) |
| Simple P/E screen | P/E ratio | Ignores debt, ignores quality | ~16% (academic back-tests vary) |
| Piotroski F-Score | 9 financial health signals | No explicit valuation factor | ~23% (Piotroski 2000 paper) |
| Price-to-book | P/B ratio | Poor predictor post-2000 due to intangibles | ~14% (Fama-French three-factor) |
| VMCI composite screen | 5 pillars, 120+ indicators | More complex to interpret | Composite across quality and value dimensions |
The Greenblatt screen's main weakness is that it underperforms badly during momentum-driven bull markets when the most expensive stocks keep rising regardless of earnings yield or return on capital. The strategy tends to look embarrassingly wrong for stretches of 12 to 18 months before the value effect reasserts itself.
Further reading: SEC EDGAR · Investopedia
Why magic formula investing Matters
This section anchors the discussion on magic formula investing. The detailed treatment, formula, and worked examples appear in the body of this article above. The points below summarize the most important takeaways for value investors who want to apply magic formula investing in real portfolio decisions. ValueMarkers exposes the underlying data on every covered ticker via the screener and stock profile pages, so the concepts in this article translate directly into actionable filters.
Key inputs for magic formula investing
See the main discussion of magic formula investing in the sections above for the full treatment, including the inputs, the calculation methodology, the typical sector benchmarks, and the most common pitfalls to avoid. The ValueMarkers screener lets value investors filter the full universe of 100,000+ stocks across 73 exchanges using magic formula investing alongside the rest of the 120-indicator composite, with sector percentiles and historical trends shown on every stock profile.
Sector benchmarks for magic formula investing
See the main discussion of magic formula investing in the sections above for the full treatment, including the inputs, the calculation methodology, the typical sector benchmarks, and the most common pitfalls to avoid. The ValueMarkers screener lets value investors filter the full universe of 100,000+ stocks across 73 exchanges using magic formula investing alongside the rest of the 120-indicator composite, with sector percentiles and historical trends shown on every stock profile.
Related ValueMarkers Resources
- Pb Ratio — Glossary entry for Pb Ratio
- Margin of Safety — Margin of Safety expresses how cheaply a stock trades relative to its fundamentals
- Pe Ratio — Glossary entry for Pe Ratio
- Magic Formula Stock Screener — related ValueMarkers analysis
- Joel Greenblatt Magic Formula — related ValueMarkers analysis
- Nasdaq Ipo Calendar — related ValueMarkers analysis
Frequently Asked Questions
what happens if the stock market crashes
During a market crash, the Greenblatt stock screener typically identifies more candidates than usual because falling prices push earnings yields higher across the board. The practical problem is behavioral: most investors cannot hold a systematic value strategy through a 30% drawdown even if the long-run math is clearly in their favor. Greenblatt specifically addressed this in "The Big Secret for the Small Investor," noting that strategies that work best are often the ones investors find hardest to stick with.
what time does the stock market open
The NYSE and Nasdaq open at 9:30 a.m. Eastern Time on regular trading days. For investors rebalancing a Greenblatt portfolio, the optimal execution window is between 10:00 a.m. and 3:30 p.m. Eastern, when liquidity is highest and spreads are tightest. Avoid the first and last 30 minutes of the session if your positions are in smaller-cap names where volume concentrates around the open and close.
are stock markets closed today
U.S. stock markets observe 11 holidays annually: New Year's Day, Martin Luther King Jr. Day, Presidents' Day, Good Friday, Memorial Day, Juneteenth, Independence Day, Labor Day, Thanksgiving, and Christmas. The NYSE and Nasdaq publish the official calendar for each year. If your annual Greenblatt rebalance date falls on a holiday, execute on the next trading day without adjusting your target weights.
what time does the stock market close
U.S. equity markets close at 4:00 p.m. Eastern Time. After-hours trading continues until 8:00 p.m. Eastern through most retail brokerages, but spreads widen significantly outside regular hours. For a systematic strategy like the Greenblatt screen, where you may be rotating 5 to 10 positions at once, plan all rebalance trades for the regular session.
when does the stock market open
The NYSE and Nasdaq open at 9:30 a.m. Eastern Time. Major international exchanges relevant to a global Greenblatt screen include the London Stock Exchange (8:00 a.m. GMT), the Frankfurt Stock Exchange (9:00 a.m. CET), the Tokyo Stock Exchange (9:00 a.m. JST), and the Hong Kong Stock Exchange (9:30 a.m. HKT). ValueMarkers supports all 73 exchanges, so you can run a Greenblatt ranking on any of these markets using locally adjusted data.
why is the stock market down today
Short-term market declines are driven by factors the Greenblatt screen is not designed to predict: Federal Reserve decisions, inflation data, geopolitical events, earnings surprises, or simple liquidity dynamics. Greenblatt's framework is explicitly agnostic to short-term price movements. If the market falls and your Greenblatt portfolio falls with it, the correct response is to check whether the underlying fundamentals of your holdings (EBIT trajectory and capital efficiency) have changed, not to react to the price move itself.
Use ValueMarkers' guru tracker to run the Greenblatt stock screener across 73 exchanges, compare EBIT-based earnings yields side by side, and apply VMCI quality filters to build a portfolio that goes beyond the ranking alone.
Written by Javier Sanz, Founder of ValueMarkers. Last updated April 2026.
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