Joel Greenblatt

Joel Greenblatt is associated with one of investing's simplest formulas. His actual record is more useful because it contains three different methods, each built for a different capital base and each giving up something the others retained.

One Name, Three Implementations

Joel Greenblatt founded Gotham Capital in 1985. The firm's successor, Gotham Asset Management, currently identifies him as managing principal and co-chief investment officer alongside Robert Goldstein. Gotham also says Greenblatt spent more than two decades teaching Value and Special Situation Investing on Columbia Business School's adjunct faculty. He should not be described as a current professor.

The chronology matters because "the Greenblatt method" is not one continuous portfolio recipe. The original private partnership concentrated in corporate events. Greenblatt later compressed part of his thinking into the Magic Formula, a diversified ranking system intended to be teachable. Current Gotham mutual funds apply a proprietary fundamental database across hundreds of long and short positions. All three depend on price relative to value. Their information, capacity, financing, liquidity, and risks are materially different.

Special Situations: Begin with Forced Ownership

Greenblatt's 1997 book You Can Be a Stock Market Genius directed attention to spin-offs, restructurings, merger securities, rights offerings, recapitalizations, bankruptcies, and risk arbitrage. These were not bargains by definition. They were places where an owner's mandate could matter more than an opinion about value.

Consider a spin-off. An index fund may sell the new company because it is outside the index. A large institution may sell because the security is too small or illiquid. A shareholder may sell because the position arrived without a purchase decision. That supply can pressure the initial price, but it completes only the first step. The buyer still has to allocate parent debt and overhead, understand separation agreements, estimate stand-alone earnings, inspect insider incentives, and decide what the business is worth.

The size of the opportunity also matters. A private partnership can take meaningful positions in small securities that cannot absorb a large fund's capital. Greenblatt said in a 2010 interview that Gotham averaged 50% annually from 1985 through 1994 and returned outside capital after those ten years. That is his retrospective statement, not a displayed audited series. The source does not reconcile incentive fees, cash flows, leverage, drawdown, holdings, or a benchmark, and the book publisher's page uses both 40% and 50% in different descriptions. The number should not be treated as more precise than its evidence.

The Magic Formula Trades Detail for Breadth

The later Magic Formula asks two ranking questions. Earnings yield represents cheapness: how much operating earnings a buyer receives relative to the price paid for the enterprise. Return on capital represents business productivity: how much operating profit the company produces from the capital needed in the business. Combine the ranks and the screen seeks companies that are both inexpensive and productive.

The Little Book excerpt presents the method as buying above-average businesses at below-average prices. That simplicity is deliberate, but it is not complete analysis. Temporary peak earnings can inflate earnings yield. Write-downs, acquisition accounting, leased assets, or a small capital base can inflate return on capital. Debt maturities, customer concentration, governance, and competitive erosion do not disappear because a company ranks well.

A reproducible formula also needs an eligible universe, point-in-time statements, consistent accounting definitions, market-cap and industry rules, portfolio weights, holding periods, and rebalancing. Using today's corrected database to rank yesterday's companies can introduce information that was unavailable at the purchase date. Ignoring delisted firms, turnover, tax, or trading cost can improve a simulated result without improving an investor's result.

Independent evidence supports the broader combination without validating every recipe. Douglas Blackburn and Nusret Cakici's 2021 Journal of Investment Management study tested global stocks from 1991 through 2016. A modified formula combining gross profitability with earnings yield produced significant long-short and long-only differences across regions after several factor controls and estimated costs. Because its profitability measure and construction differ from Greenblatt's, the study supports the joint value-and-profitability idea, not the exact published backtest.

Gotham Today Is Not a Two-Number Screen

Gotham's current description of its process begins with fundamental estimates of value for US large- and mid-cap companies. Its analysts update a centralized database, allocate more to larger assessed discounts on the long side and larger premiums on the short side, and apply limits to sectors and total exposure.

The 2026 prospectus for Gotham Absolute Return Fund makes the operating system concrete. The fund generally owns several hundred long positions and a similar number of shorts. Research covers recurring earnings, cash flows, capital efficiency, capital structure, valuation, and questionable reporting. Positions are generally adjusted daily as filings, prices, and exposure change.

This scale requires analysts, standardized data, code, short access, derivatives counterparties, liquidity controls, and operations. It also creates risks absent from a long-only screen. The fund uses swaps and leverage, expects gross exposure below 190% and net exposure below 70% in normal conditions, and faces short-borrow, counterparty, database, programming, model, and liquidity risk. Its 2025 fiscal-year turnover was 290%. The disclosed annual operating expense after current waivers was 1.52%, excluding some costs embedded in derivatives.

A Defined Public Record

The same prospectus supplies a record that the early partnership claim lacks. From the Institutional Class inception on August 31, 2012 through December 31, 2025, Gotham Absolute Return Fund returned 8.96% annualized before taxes, net of fund expenses and embedded swap costs. The HFRX Equity Hedge Index returned 4.46%; the S&P 500 Total Return Index returned 14.68%. Greenblatt and Goldstein co-managed the fund for the full period.

Neither comparison settles the verdict. HFRX better resembles a long/short category but contains different managers and exposures. The S&P 500 was fully invested in US equities while Gotham deliberately carried much less net market exposure. The fund's best reported quarter was 13.25% and its worst was -16.83%, which also disproves any implication that an absolute-return objective removes loss.

What the Changes Reveal

Greenblatt's contribution is not that two ratios eliminate judgment. It is the clearer separation of three research locations. Corporate events can produce mandate-driven selling, but require case analysis and have limited capacity. A ranking system can diversify and scale the good-and-cheap idea, but loses information and inherits database assumptions. A modern long/short platform can restore fundamental detail across a large universe, but pays for that breadth through staffing, systems, turnover, fees, financing, and new sources of failure.

The early partnership return, the Magic Formula backtest, and the current mutual-fund record answer different questions. Keeping them separate does more than correct a biography. It shows how an investment idea changes when it has to fit a new institution.

Inside CompanyGraph

The population the question applies to is observable: companies whose return on equity, return on assets, and asset turnover all sit elevated against their own industry.