Why mid-market PE firms can’t outrun their sourcing gap.

The dry-powder paradox.

At the start of 2026, closed-end private capital funds globally held an estimated $4.63 trillion of committed-but-uncalled capital — up roughly 4.6% from year-end 2024.^[1] Bain pegs the buyout-only share at around $1.2 trillion, and nearly a quarter of that capital has been sitting unused for four years or longer.^[2] The pressure to deploy is no longer theoretical; it is measurable in the calendar.

That pressure is not producing more deals. KPMG counted 19,093 global PE transactions in 2025, the second consecutive year of decline.^[3] Median purchase multiples have climbed from 11.3x EBITDA in 2024 to 11.8x in 2025 even as activity contracted.^[4] Capital is up. Deal count is down. Pricing is up. The market is paying more for fewer deals while billions sit idle.

The gap is not a capital problem. It is a sourcing problem.

Add-ons are now doing most of the work.

Add-on acquisitions now account for more than 75% of total buyout activity, according to Bain’s mid-year 2025 report.^[5] In the lower middle market specifically, Cherry Bekaert estimates roll-ups make up over 80% of deal volume.^[6] The logic is straightforward: add-ons typically trade at lower multiples than the platform, are often financed off existing facilities, and deploy committed capital without underwriting an entirely new management team. They are the pressure-release valve for the dry-powder problem.

The math, however, is brutal. A platform looking to execute three or four add-ons a year in a fragmented sector might need to evaluate 200–400 viable targets to get there. Most firms do not have anywhere near the analyst-hours to do that — let alone do it for every platform, every quarter.

The human-capacity ceiling.

What can one fully-loaded SDR or sourcing analyst actually do in a month? Pull the published benchmarks together and a remarkably consistent picture emerges:

• ~600 personalised cold emails^[7]
• ~1,100 outbound dials (≈50 per day, the realistic working number once gatekeepers, voicemail and admin overhead are stripped out)^[8]
• ~280 unique targets meaningfully touched across multiple channels
• ~$7,500 fully-loaded monthly cost, all in^[9]

Multiply that by a five-person sourcing pod and you get coverage of roughly 1,400 unique targets a month. That is a respectable number — until you remember that a single well-defined thesis in industrials, business services, or healthcare services routinely contains 4,000 to 8,000 viable targets. The math does not close.

Why hiring doesn’t fix it.

The instinct, of course, is to add bodies. But the marginal cost of human sourcing capacity scales linearly with headcount while the marginal output scales sub-linearly — management overhead, CRM ops, training and ramp-time conspire to make every additional SDR slightly less productive than the last.

There is also a recruitment ceiling. The talent pool of operators who combine real buy-side instincts with the discipline of outbound execution is shallow, and the best of them do not want to be SDRs. The Bridge Group’s outbound benchmarks reported that roughly 70% of B2B sales reps missed quota in 2024, with systemic productivity issues — not individual effort — as the most-cited cause.^[10]

A sourcing function trying to grow into the deployment pressure with hiring alone is fighting a multi-front war: too many targets, too few qualified bodies, and an inbox-overload environment where the average buyer receives more than 120 sales-related emails per week.^[11] Adding a sixth SDR to a five-person pod does not close that gap. It widens the management surface area while leaving thousands of targets untouched.

A different unit of measurement.

The asymmetric move is to stop treating sourcing like sales — staffed in headcount, measured in dials per rep — and start treating it like infrastructure. The right metric is not “how many emails did the team send today”; it is “what percentage of the viable target universe was meaningfully touched this quarter, in front of the right decision-maker, anchored to a real signal.”

That shift only works when the engine that does the touching operates at machine scale: coordinated multi-channel outreach, signal-triggered cadences, and a top layer of human operators who handle conversations rather than dials. The humans become a conversion layer, not a canvas-pass layer.

PE firms with $1.2 trillion of stranded capital have run out of room to scale the old way. The firms that quietly stop trying to out-hire the sourcing gap will be the ones that close it.