FactSet: 95% Retention, 13x FCF
Cheap is nice, but sometimes it pays to pay up.
FactSet Research Systems (FDS) is the opposite of a cigar butt. It’s a sticky financial data and workflow platform used by institutions around the world.
The business has 95%+ ASV retention (a run-rate measure of annual subscription revenue already under contract), 91% client retention, 30%+ operating margins, and should generate around $18/sh free cash flow this year.
That’s less than 13x FCF for a business with almost no tangible assets and minimal capital requirements.
FactSet sells data, analytics, and workflow tools to asset managers, banks, wealth managers, hedge funds, private market firms, and other capital-markets participants.
These firms use FactSet inside research, portfolio monitoring, reporting, trading, and client workflows. Large institutions aren’t going to casually rip out deeply embedded infrastructure and replace it with a chatbot. FactSet has 9,101 clients, 241,352 users, and a weighted average client relationship length of 16+ years.
You’re paying around 13x for a business that retains more than 95% of its annual subscription value, serves 95 of the top 100 global asset managers and about 75% of the top 50 global investment banks, and still grew Organic ASV 6.7% year over year last quarter. In the face of AI concerns, the company exceeded expectations and raised guidance for the year. Odd for a business supposedly on the verge of obsolescence.
But that’s why it’s cheap.
Investors are worried AI will make parts of the financial data stack more commodity-like. If AI lowers the cost of search, synthesis, and basic workflow tasks, maybe platforms like FactSet lose pricing power.
It’s not completely crazy. FactSet competes with Bloomberg, LSEG, S&P Global Market Intelligence, MSCI, Morningstar, and BlackRock Aladdin. It’s a competitive field.
But professional investors are not buying FactSet for one chatbot answer. They are paying for clean and normalized datasets, workflow integration, reporting, analytics, and reliability across large organizations. If a retail investor wants to ask AI for a quick comp sheet, fine. A global asset manager running money across teams, mandates, and reporting systems has a different problem.
That’s why retention matters so much here. If the product were turning into a commodity in real time, you’d expect to see it show up in the numbers first. So far, the numbers still look solid: 95%+ ASV retention, 91% client retention, users up 10%, clients up 5%, and strongest growth coming from Wealth and Market Infrastructure.
The business generates a lot of cash and capex is less than 5% of revenue. It’s not a capital-intensive business and requires almost no physical assets to grow.
The balance sheet is strong with debt of $1.4B, cash around $250MM, and an untapped $1B revolver. Free cash flow will approach $700MM this year with majority of it going to dividends, repurchases and bolt-on acquisitions like LiquidityBook and Irwin.
The bear case is obvious. If AI pressure turns out to be real, Organic ASV growth could slow, retention could weaken, and margins could compress. In that scenario, the market may keep the stock around 12x–13x earnings and you’re probably looking at something like a $180–$200 stock price.
But if retention holds and Wealth and enterprise data keep growing, then today’s price is too low for a business of this quality.
That’s what makes the setup interesting.
FactSet doesn’t have to be bulletproof. Maybe AI takes a bigger bite than I expect.
But at this price, a lot of bad news already seems to be priced in the stock.
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