How to find IFA firms for sale in the UK

Most IFA firms that sell never appear on a formal market, and the best deals are actively sourced.

Most good deals happen through intermediaries, warm introductions, and direct approach — which means the buyers who win consistently aren't the ones with the deepest chequebook. They're the ones who can identify the right firm earliest, qualify it fastest, and make contact before three other consolidators have the same idea.

That's a data problem. And the data, on the face of it, is everywhere: the FCA Register tells you who's authorised, Companies House tells you the financials, LinkedIn tells you who works there, VouchedFor tells you what customers think. The problem is that none of these sources, on their own, tells you who is sellable. And reconciling them by hand — across thousands of directly authorised firms and roughly 14,000 ARs — is a full-time job that produces a snapshot which is stale by the time it's finished.

Here's what an actually useful search looks like.

Growth trajectory

A flat firm, a growing firm, and a quietly shrinking firm look identical in a static dataset — but they're three completely different propositions for an acquirer. Growth-stage firms command premium multiples and resist approach; flat firms are the bread and butter of consolidation; shrinking firms are often the most acquirable but require the sharpest diligence. None of the public sources tells you trajectory directly, which is why most buyers infer it badly or not at all. Combining headcount changes over time, Companies House filing trends, adviser additions and departures, AR network movement, and shifts in stated AUM produces a defensible read on whether a firm is expanding, holding, or quietly losing ground — and lets you filter the shortlist down to whichever of those three matches your thesis.

Estimated AUM band

AUM is an important sort criterion for any acquirer because fund size dictates which deals are even worth pursuing. A £50m bolt-on and a £500m platform play are entirely different transactions. The catch is that very few IFA firms publish AUM on their website, and the figures that do appear are usually rounded, dated, or aspirational. Triangulating from regulatory filings, financial filings, adviser headcount, persistency assumptions, and observable client base produces a defensible band — which is what you actually need to filter on, because precision matters less than excluding the firms that don't fit your thesis.

Specialism

Different IFAs and wealth managers specialise in different areas of the market and bands of wealth. Specialism filtering matters because it's where strategic fit is decided. The signals are scattered — FCA permissions hint at it, website copy reveals positioning, adviser qualifications confirm capability, and FOS complaints data sometimes tells you what they actually do day-to-day rather than what marketing says they do. Combining those is what turns "IFA firm" into "at-retirement income specialist with no DB exposure." At Distos, these are signals we construct.

Geography

Hub-and-spoke consolidation models live and die on geographic clustering. If you're building out the M62 corridor, a brilliant firm in Truro is a distraction. Postcode-level filtering is table stakes; what's harder, and more valuable, is filtering by catchment — where the firm's clients actually are, which is often a larger and messier footprint than the registered office suggests.

Headcount and team shape

LinkedIn headcount is misleading on its own. A firm with 25 people on LinkedIn might have 6 advisers, 4 paraplanners, and 15 administrators — or it might be 18 advisers and 7 support. The shape matters more than the number, because adviser-to-support ratio is a proxy for operational maturity and for how much margin upside exists post-acquisition.

Succession indicators

This is the signal that moves deals. Principal tenure, director age profile, recent CF1 changes, AR network departures, and shifts in Companies House filing patterns are all early indicators that a firm is approaching a transition. Roughly two-thirds of IFA sales are driven by succession rather than strategy — which means filtering for firms where succession is plausibly on the agenda is filtering for firms that are actually sellable.

A worked search

A PE-backed consolidator looking for £100m–£300m AUM at-retirement specialists in the North West, with principals in their late fifties or sixties and a stable adviser team, is currently running that search across half a dozen tabs and a spreadsheet. The same search in Distos resolves to a shortlist in seconds — and, more importantly, the shortlist updates itself.

Live monitoring and the alerts that matter

Static lists go stale fast in this market. A firm that didn't fit your thesis in March might fit it in September because the principal's CF1 status changed, headcount shifted, or financial results crossed a threshold. The acquirers who win consistently aren't refreshing a spreadsheet quarterly — they're being told, the morning it happens, that a firm matching their thesis just became approachable.

That's deal velocity. From "firm enters the dataset matching our criteria" to "partner has made contact" should be days, not months. The reason most acquirers can't move that fast isn't capital or capacity. It's that they don't know yet.

Distos is the deepest B2B database of UK IFA firm intelligence, built by correlating FCA Register, Companies House, and live web signals.

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