Between 1985 and 1994, a young hedge fund manager named Joel Greenblatt ran a concentrated portfolio that returned roughly 50% annually — before fees. Not for one lucky year. For ten consecutive years. By the time he wound down Gotham Capital's outside capital, his track record had crushed every benchmark in the industry, and he had done it with a strategy simple enough to fit on a single index card. Then he published the formula in a book so any amateur could use it. Wall Street has never forgiven him for that.
Here is the part almost no one knows. Greenblatt did not think his edge was secret math or a crystal ball. He thought it was behavioral — that most investors could not sit still long enough to let a dumb-looking strategy work. He was right.
Origin Story: From Wharton to Gotham Capital
Joel Greenblatt grew up in Great Neck, New York, and studied at the Wharton School. He discovered value investing the same way most people of his generation did — by reading Benjamin Graham. But Greenblatt took a different path from the pure net-net hunters. He wanted to apply Graham's margin-of-safety thinking to businesses that were actually growing.
In 1985 he founded Gotham Capital with a $7 million seed investment from billionaire Michael Milken. Over the next decade, Gotham's partners compounded their capital at roughly 50% per year before fees. In 1995 Greenblatt returned outside capital and kept running his own money — partly because the strategy was hard to scale and partly because he wanted to focus on teaching. He joined the Columbia Business School faculty and started writing the books that would turn him into a household name for value investors.
Philosophy: Buy Good Businesses at Cheap Prices
Greenblatt's entire framework rests on a sentence Warren Buffett made famous: it is better to buy a great business at a fair price than a fair business at a great price. Where Greenblatt differs from Buffett is in operationalizing that sentence into a quantitative screen that any investor — including complete amateurs — can run.
His core insight is that business quality can be proxied by a single metric: return on capital. Cheapness can be proxied by a single metric: earnings yield (EBIT divided by enterprise value, which is an inversion of the EV/EBIT multiple). Rank the entire stock universe on both metrics, average the two rankings, and buy the top 20-30 names. Hold for one year, then rebalance. Repeat. The strategy is boring by design.
Principle one: business quality is measurable, not mysterious. You do not need a qualitative judgment about "moats" to identify great businesses. High return on capital, sustained over time, is the statistical fingerprint of a great business. Everything else is narrative.
Principle two: cheapness is the margin of safety. Buying a great business at any price is not value investing — it is just quality investing. Greenblatt insists that the earnings yield side of the formula is equally important, because paying too much destroys the expected return on even the best business.
Principle three: discipline is the real edge. Greenblatt has said repeatedly that the Magic Formula's ability to underperform for years at a time is what keeps most investors from using it. If it worked every quarter, everyone would pile in and arbitrage the edge away. The behavioral cost of holding through drawdowns is the fee you pay for access to the strategy.
Principle four: concentration beats diversification — up to a point. The original strategy runs 20-30 positions, not 200. Greenblatt has argued that past a few dozen names, you dilute your edge without meaningfully reducing single-stock risk.
Principle five: think in multi-year windows. The formula is built on annual rebalances and multi-year compounding. Traders who try to apply it with monthly or quarterly turnover destroy the entire advantage.
Famous Quotes
"Choosing individual stocks without any idea of what you are looking for is like running through a dynamite factory with a burning match."
"The secret to investing is to figure out the value of something — and then pay a lot less."
"The stock market is really a weighing machine if you give it enough time."
"If the Magic Formula always worked, it would stop working. The fact that it is unreliable in the short run is exactly why it works in the long run."
Notable Holdings and the Type of Stocks It Flags
The Magic Formula does not produce a static list — the screen updates as prices, earnings, and balance sheets move. But the type of business that tends to surface is remarkably consistent. Here is a representative illustration of names that frequently appear on high-ROIC, reasonable-yield screens that align with the Greenblatt philosophy:
| Company |
Ticker |
Why It Shows Up |
| Apple |
AAPL |
High ROIC, strong buyback program, durable brand |
| Microsoft |
MSFT |
Software ROIC, enterprise pricing power |
| Alphabet |
GOOGL |
Search monopoly economics, balance sheet flexibility |
| Meta Platforms |
META |
Ad moat with recovering reinvestment yield |
| Home Depot |
HD |
Category dominance and capital discipline |
| Lowe's |
LOW |
Similar moat at different scale and price point |
| Oracle |
ORCL |
Sticky enterprise contracts, high operating margin |
| Booking Holdings |
BKNG |
Capital-light travel platform, strong ROIC |
| Comcast |
CMCSA |
Mature cash flows, frequent cheapness windows |
Not every name on this list passes the screen at every moment — prices and earnings move. The point is the character of business these criteria surface: durable profitability, manageable capital requirements, and stretches of market disinterest that drive the earnings yield above the market average.
Gotham Capital's roughly 50% annualized gross returns from 1985 to 1994 are documented in Greenblatt's own books and in academic studies of his track record. The Magic Formula's backtested and live performance since publication has been more modest — still beating the market on average, but with painful multi-year stretches of underperformance that have caused most followers to abandon it just before it recovers. Greenblatt has openly described this as the feature of the strategy, not the failure.
The behavioral trap is worth dwelling on. The average investor in a mutual fund typically captures a meaningfully lower return than the fund itself produces, because they buy high and sell low. Magic Formula investors are vulnerable to the same trap — and the strategy's intentional volatility makes the trap even deeper. For a broader view of how great investors manage behavioral risk, our super investors guide covers the frameworks used by Buffett, Munger, Lynch, and three others.
The Counter-Argument: Once Published, Does It Still Work?
The honest critique of the Magic Formula is that publishing a quantitative strategy should, in theory, kill its edge. If anyone can run the screen, anyone can bid up the stocks, and the excess return disappears. This is broadly true for many once-famous quant signals.
The Greenblatt counter is that behavioral discipline is the barrier, not the math. Most investors will not sit through a 20% relative drawdown for 18 months without abandoning the strategy. As long as that behavioral moat holds, the formula continues to work on average for the few who stick with it. Whether that holds for another ten years is a legitimate open question, but the evidence so far is that the edge has persisted longer than skeptics predicted.
Lessons for You
The most important lesson is not the formula itself. It is Greenblatt's insistence that process discipline matters more than stock picking genius. Pick a framework — Magic Formula, Buffett-style quality, Graham deep value — understand why it works, and execute it through drawdowns. The edge is not in the signal. It is in the patience to let the signal express itself.
If you want to see how to apply a Greenblatt-style screen to specific names, our fundamental analysis guide walks through how to pull the two key inputs (ROIC and earnings yield) directly from public filings. You can also see the results of a live Greenblatt valuation on any ticker in the investors overview page, which runs his framework alongside Buffett, Munger, Lynch, Graham, and Marks.
Ready to analyze these stocks yourself? Search any ticker on MainRatios to see valuations from 6 legendary investors - free.